test(parity): two-tier audit parity test suite (Fixes #366) [stacked on #365] - #370
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Kusari Analysis Results:
Both analyses independently recommend proceeding. The dependency analysis detected no pinned version dependency changes, presenting no dependency-related risk. The code analysis identified a single medium-severity, low-confidence finding (artipacked): actions/checkout at line 50 does not set persist-credentials: false, leaving the GitHub token stored in git config for the job duration. However, strong compensating controls neutralize any realistic exploit path: (1) the workflow trigger is workflow_dispatch only, eliminating untrusted PR or push attack vectors; (2) the environment parity-tier2 requires human reviewer approval before execution; (3) permissions are scoped to contents: read at both workflow and job levels, meaning the persisted credential has no write capability to abuse; (4) all actions are pinned to full 40-character commit SHAs. No secrets were detected and no additional code issues were found. The persisted credential issue is a hardening gap rather than an exploitable vulnerability under the current permission model. As an optional hardening measure, setting persist-credentials: false on the checkout action would eliminate the finding entirely. Note View full detailed analysis result for more information on the output and the checks that were run.
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| run: uv sync --extra dev | ||
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| - name: Preflight audit log (T2-7/T2-8) | ||
| run: | |
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Issue: The Preflight audit log step interpolates ${{ inputs.fixture_glob }} and ${{ github.actor }} directly into the shell script. Move all context values to step-level env: variables and reference them as shell variables to prevent injection.
Recommended Code Changes:
- name: Preflight audit log (T2-7/T2-8)
env:
ACTOR: ${{ github.actor }}
SHA: ${{ github.sha }}
FIXTURE_GLOB: ${{ inputs.fixture_glob }}
run: |
{
echo "## Tier 2 Preflight"
echo ""
echo "- actor: $ACTOR"
echo "- sha: $SHA"
echo "- fixture_glob: $FIXTURE_GLOB"
echo "- timestamp: $(date -u +%Y-%m-%dT%H:%M:%SZ)"
} >> "$GITHUB_STEP_SUMMARY"
| - name: Run Tier 2 parity check | ||
| env: | ||
| ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} | ||
| run: | |
There was a problem hiding this comment.
Issue: The Run Tier 2 parity check step interpolates ${{ inputs.fixture_glob }} directly as a shell argument. Add FIXTURE_GLOB to the existing env: block and reference it as a quoted shell variable.
Recommended Code Changes:
- name: Run Tier 2 parity check
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
FIXTURE_GLOB: ${{ inputs.fixture_glob }}
run: |
uv run python -m tests.darnit.parity.tier2.run \
--fixture-glob "$FIXTURE_GLOB"
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| steps: | ||
| - name: Checkout | ||
| uses: actions/checkout@v4 |
There was a problem hiding this comment.
actions/checkout, actions/setup-python, astral-sh/setup-uv, and actions/upload-artifact are all pinned to mutable version tags (@v4, @v5, @v6). If an action owner silently repoints a tag, malicious code could execute in this runner and access the ANTHROPIC_API_KEY. Pin each action to a full 40-character commit SHA to guarantee immutability.
… env: vars Addresses Kusari Inspector findings on PR darnitdevorg#370: 1. Shell injection risk (HIGH impact / HIGH likelihood): `${{ github.actor }}`, `${{ github.sha }}`, and `${{ inputs.fixture_glob }}` were interpolated directly into `run:` blocks that had ANTHROPIC_API_KEY set in env. A crafted fixture_glob input containing shell metacharacters could execute arbitrary commands in the runner and exfiltrate the key. Fix: move each context expression into a step-level `env:` variable and reference it as a quoted shell variable inside the run: block. GitHub Actions substitutes ${{ ... }} at YAML-parse time; shell vars are substituted after the shell already parsed its own syntax, so a metacharacter in an input becomes a literal character in the value of the env var (harmless) rather than a shell operator. 2. Supply-chain risk from unpinned actions: actions/checkout@v4, actions/setup-python@v5, astral-sh/setup-uv@v6, and actions/upload-artifact@v4 all used mutable version tags. If any action owner's account were compromised, a silently repointed tag would execute in this workflow with ANTHROPIC_API_KEY in env. Fix: pin each action to a full 40-character commit SHA with a trailing comment identifying the human-readable version. Bumping an action now requires a PR edit -- reviewable, correlatable with any subsequent test-result changes. Pinned versions: actions/checkout 11d5960a326750d5838078e36cf38b85af677262 v4.4.0 actions/setup-python a26af69be951a213d495a4c3e4e4022e16d87065 v5.6.0 astral-sh/setup-uv d0cc045d04ccac9d8b7881df0226f9e82c39688e v6.8.0 actions/upload-artifact ea165f8d65b6e75b540449e92b4886f43607fa02 v4.6.2 Existing workflow-config tests continue to pass unchanged (they assert governance-critical structure -- trigger, environment, permissions, `if: always()` on artifact upload -- none of which this fix touches).
…ocol (Fixes darnitdevorg#368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes darnitdevorg#368. Sibling to darnitdevorg#367 (feature 027) and darnitdevorg#370 (feature 028); stacks on darnitdevorg#370.
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Kusari PR Analysis rerun based on - 0e74d48 performed at: 2026-08-12T17:57:19Z - link to updated analysis |
pxp928
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Approving on the condition that the findings below are addressed before merge. The two-tier design is the right shape for #366 and the comparator/diff structure is a good foundation. But as committed the suite doesn't execute anywhere — not locally, not in CI — and several of the comparison primitives report agreement where there is none. Please don't merge until the first three are fixed, since until then a green check means nothing ran.
Reviewed the incremental diff pr-365..pr-370 (commits 0a1671c, 0e74d48). I ran the suite to confirm the top findings.
Stack note
This branch is stacked on #365, not on #367. Worth confirming that's intentional — #367 and #370 are currently siblings.
Blockers — the suite never runs
1. Fixture marker file is gitignored
Fixture discovery requires a .baseline.toml marker in each fixture dir, but that filename is in .gitignore:32 and never committed.
Result, verified by running pytest: 0 of 4 fixtures discovered, 3 tests fail outright, test_parity collects zero cases, and the Tier 2 runner always exits 3.
Either rename the marker to something not ignored, or add a negation pattern un-ignoring the fixture paths. This one also propagates into #371, where it ships two red tests.
2. No pytest markers → CI deselects the entire suite
tier1/test_mcp_vs_harness.py:19
No parity test declares a unit or integration marker, but ci.yml only runs -m unit / -m integration. Actual result: 53 items / 53 deselected.
The Tier 1 gate is described as "runs on every PR." It runs on no PR.
3. The no-product-changes guard never enforces
tier1/test_no_product_changes.py:27
The FR-014 guard's hardcoded base-ref list falls through to origin/main, which flags 22 product files belonging to feature 026 — it fails locally today. In a shallow CI clone no ref resolves at all and it silently skips. So it either false-positives or no-ops; it never does the job.
Correctness bugs in the comparison logic
These matter more than ordinary test bugs, because a parity harness that reports false agreement is worse than no parity harness.
tier1/comparator.py:121—is_allowed_driftreturnsTrueforPENDING_LLMvs the synthetic<MISSING>, so a control the harness drops entirely reports green. Directly contradicts T1-3. Verified.tier2/skill_markdown_parser.py:154— status literals are scanned in length-descending order rather than by position, so"OSPS-VM-04.01: WARN -- ... to reach PASS"parses as PASS. Verified. Should anchor on the first status token after the control ID.tier2/diff.py:65— the diff iterates only over skill claims, so a skill that omits a FAIL control (and omits theFailed:count line) returnssuccess. Needs to iterate the union of both sides' control sets.
Tier 2 doesn't exercise what it claims to
tier2/claude_agent_sdk_client.py:85 — ClaudeAgentOptions sets no mcp_servers, no allowed_tools, no permission_mode, no setting_sources. The agent can therefore neither call audit_openssf_baseline nor shell out to anything.
So Tier 2 compares real MCP tool JSON against a summary the model produced without running an audit at all. The prompt is also a hand-written approximation of the skill rather than the real /darnit-audit skill definition.
This undermines the premise of the tier rather than being a bug in it — worth a design decision, not just a patch.
Packaging
pyproject.toml:56 — claude-agent-sdk (a ~90 MB platform wheel) is added to the published [project.optional-dependencies].dev extra of darnit-mcp, contradicting the SC-006 comment directly above it. [dependency-groups] dev already exists and is the right home.
Minor
tier1/conftest.py:136—total_run_timeout_s=30on the harness path (unbounded on the MCP path) will raiseHarnessRunTimeouton a full level-3 audit against a fake remote, erroring the test instead of comparing.tier2/run.py:175— theerroredbucket is checked before the disagreement buckets, so one infra exception downgrades a real per-control disagreement to exit 3 ("setup error"), hiding the signal you care about.tier1/conftest.py:139—asyncio.new_event_loop().run_until_complete(...)at three sites (alsorun.py:203,test_diff_adversarial.py:132) leaks an unclosed loop and never sets it current.tier2/test_workflow_config.py:18— cwd-relativePath(".github/workflows")(andPath.cwd()attest_diff_adversarial.py:148) makes the governance tests fail or vacuously skip when pytest runs outside the repo root.tier2/diff.py:24—COUNTS_DISAGREE = 1silently aliasesPER_CONTROL_DISAGREE. The enum is unused anyway, sincerun.pyhardcodes its exit codes.
… env: vars Addresses Kusari Inspector findings on PR darnitdevorg#370: 1. Shell injection risk (HIGH impact / HIGH likelihood): `${{ github.actor }}`, `${{ github.sha }}`, and `${{ inputs.fixture_glob }}` were interpolated directly into `run:` blocks that had ANTHROPIC_API_KEY set in env. A crafted fixture_glob input containing shell metacharacters could execute arbitrary commands in the runner and exfiltrate the key. Fix: move each context expression into a step-level `env:` variable and reference it as a quoted shell variable inside the run: block. GitHub Actions substitutes ${{ ... }} at YAML-parse time; shell vars are substituted after the shell already parsed its own syntax, so a metacharacter in an input becomes a literal character in the value of the env var (harmless) rather than a shell operator. 2. Supply-chain risk from unpinned actions: actions/checkout@v4, actions/setup-python@v5, astral-sh/setup-uv@v6, and actions/upload-artifact@v4 all used mutable version tags. If any action owner's account were compromised, a silently repointed tag would execute in this workflow with ANTHROPIC_API_KEY in env. Fix: pin each action to a full 40-character commit SHA with a trailing comment identifying the human-readable version. Bumping an action now requires a PR edit -- reviewable, correlatable with any subsequent test-result changes. Pinned versions: actions/checkout 11d5960a326750d5838078e36cf38b85af677262 v4.4.0 actions/setup-python a26af69be951a213d495a4c3e4e4022e16d87065 v5.6.0 astral-sh/setup-uv d0cc045d04ccac9d8b7881df0226f9e82c39688e v6.8.0 actions/upload-artifact ea165f8d65b6e75b540449e92b4886f43607fa02 v4.6.2 Existing workflow-config tests continue to pass unchanged (they assert governance-critical structure -- trigger, environment, permissions, `if: always()` on artifact upload -- none of which this fix touches).
0e74d48 to
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…ocol (Fixes darnitdevorg#368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes darnitdevorg#368. Sibling to darnitdevorg#367 (feature 027) and darnitdevorg#370 (feature 028); stacks on darnitdevorg#370.
…+ wire Tier 2 MCP Reviewer pxp928 flagged three blockers, three correctness bugs, an SDK wiring hole, and a packaging concern on darnitdevorg#370. This commit addresses all of them. Blockers: - `.baseline.toml` was in `.gitignore`, so none of the four parity fixtures had their config tracked -- CI's Tier 1 collector saw zero fixtures. Added an `!tests/darnit/parity/fixtures/**/.baseline.toml` negation and force-added the four fixture configs. - Parity tests carried no pytest markers, so CI's `-m unit` / `-m integration` split silently deselected the entire suite. Auto-mark every test under `tests/darnit/parity/tier1/` as `integration` via a conftest `pytest_collection_modifyitems` hook. - `test_no_product_changes.py` silently skipped under shallow CI clones. Fail loudly with a clear pointer at `fetch-depth: 0` when `CI=1` and no base ref is reachable; keep the local-dev skip. Correctness bugs: - `comparator.is_allowed_drift` returned True for MCP=PENDING_LLM vs harness=<MISSING>, contradicting T1-3. Missing on either side is now always a hard failure. - `skill_markdown_parser` scanned status literals in _STATUS_LITERALS order, so a phrase like "WARN ... to reach PASS" parsed as PASS. Pick the LEFTMOST status literal instead so the first token in the line wins. - `tier2/diff.py` iterated only over the skill's claims; a skill omitting a FAIL control silently reported "success". Also walk the tool's controls and flag any the skill did not mention. Tier 2 SDK wiring: - `ClaudeAgentOptions` sent only model/max_turns/cwd. The agent had no MCP server, no allowed tools, and no permission mode -- so it couldn't actually call `audit_openssf_baseline` and Tier 2 was measuring "skill does nothing" rather than skill vs tool. Wire `mcp_servers={"darnit": {stdio "darnit serve"}}`, allow only `mcp__darnit__audit_openssf_baseline`, set `permission_mode="acceptEdits"`, and lock `setting_sources=[]` to keep the host's local Claude Code config out of the run. Packaging: - Moved `claude-agent-sdk>=0.1.0` out of `[project.optional-dependencies].dev` (published on `darnit-mcp[dev]`, ~90 MB) into a dedicated `[parity-tier2]` extra. Tier 2 CI now installs `--extra dev --extra parity-tier2` explicitly; a contributor installing `darnit-mcp[dev]` no longer pulls the SDK. Workspace sweep: 2593 pass, 15 skip.
…ocol (Fixes darnitdevorg#368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes darnitdevorg#368. Sibling to darnitdevorg#367 (feature 027) and darnitdevorg#370 (feature 028); stacks on darnitdevorg#370.
…sts integration Reviewer pxp928 flagged one blocker (rebase-driven) and six should-fix items on darnitdevorg#371. This commit addresses all of them. Blocker: - Both SC-007 tests inherited the missing-fixture-config bug from darnitdevorg#370. Rebasing onto the updated 028 pulls the tracked `.baseline.toml` fixtures + the pytest-marker hook forward, so those tests now collect and run. Should-fix: - `import openai` in the OpenAI-backend adversarial test now goes through `pytest.importorskip("openai")`, so a lean env without the `parity-tier2` extra installed skips cleanly instead of exploding with ImportError. - `_dispatch_tool_call` now pins `level=3` and `output_format="json"` the same way `local_path` is pinned. Previously `setdefault` let a rogue model ask for markdown at level 1 and defeat the comparison. - Added a `tier2/conftest.py` `pytest_collection_modifyitems` hook so every Tier 2 test collects with the `integration` marker. Same reasoning as PR darnitdevorg#370's tier1 conftest: CI's `-m unit / -m integration` split would otherwise silently deselect the whole suite. - The cross-provider aggregate script no longer silently reports "0 disagreements" when either provider's message was unparseable. It labels the fixture UNPARSEABLE in the per-fixture summary, lists unparseable fixtures at the bottom, and exits non-zero so CI can tell a "clean run" from a "no signal" run. - The diff-report formatter now accepts a `final_message_filename` keyword so an OpenAI-provider run's failure report points at `openai_final_message.md` instead of hardcoded `skill_final_message.md`. Threaded from `run.py` via `_provider_filename_prefix`. - Same filename thread covers the per-control and unparseable branches, so the diff output is consistent regardless of which provider ran. Workspace sweep: 2635 pass, 15 skip.
… env: vars Addresses Kusari Inspector findings on PR darnitdevorg#370: 1. Shell injection risk (HIGH impact / HIGH likelihood): `${{ github.actor }}`, `${{ github.sha }}`, and `${{ inputs.fixture_glob }}` were interpolated directly into `run:` blocks that had ANTHROPIC_API_KEY set in env. A crafted fixture_glob input containing shell metacharacters could execute arbitrary commands in the runner and exfiltrate the key. Fix: move each context expression into a step-level `env:` variable and reference it as a quoted shell variable inside the run: block. GitHub Actions substitutes ${{ ... }} at YAML-parse time; shell vars are substituted after the shell already parsed its own syntax, so a metacharacter in an input becomes a literal character in the value of the env var (harmless) rather than a shell operator. 2. Supply-chain risk from unpinned actions: actions/checkout@v4, actions/setup-python@v5, astral-sh/setup-uv@v6, and actions/upload-artifact@v4 all used mutable version tags. If any action owner's account were compromised, a silently repointed tag would execute in this workflow with ANTHROPIC_API_KEY in env. Fix: pin each action to a full 40-character commit SHA with a trailing comment identifying the human-readable version. Bumping an action now requires a PR edit -- reviewable, correlatable with any subsequent test-result changes. Pinned versions: actions/checkout 11d5960a326750d5838078e36cf38b85af677262 v4.4.0 actions/setup-python a26af69be951a213d495a4c3e4e4022e16d87065 v5.6.0 astral-sh/setup-uv d0cc045d04ccac9d8b7881df0226f9e82c39688e v6.8.0 actions/upload-artifact ea165f8d65b6e75b540449e92b4886f43607fa02 v4.6.2 Existing workflow-config tests continue to pass unchanged (they assert governance-critical structure -- trigger, environment, permissions, `if: always()` on artifact upload -- none of which this fix touches).
…+ wire Tier 2 MCP Reviewer pxp928 flagged three blockers, three correctness bugs, an SDK wiring hole, and a packaging concern on darnitdevorg#370. This commit addresses all of them. Blockers: - `.baseline.toml` was in `.gitignore`, so none of the four parity fixtures had their config tracked -- CI's Tier 1 collector saw zero fixtures. Added an `!tests/darnit/parity/fixtures/**/.baseline.toml` negation and force-added the four fixture configs. - Parity tests carried no pytest markers, so CI's `-m unit` / `-m integration` split silently deselected the entire suite. Auto-mark every test under `tests/darnit/parity/tier1/` as `integration` via a conftest `pytest_collection_modifyitems` hook. - `test_no_product_changes.py` silently skipped under shallow CI clones. Fail loudly with a clear pointer at `fetch-depth: 0` when `CI=1` and no base ref is reachable; keep the local-dev skip. Correctness bugs: - `comparator.is_allowed_drift` returned True for MCP=PENDING_LLM vs harness=<MISSING>, contradicting T1-3. Missing on either side is now always a hard failure. - `skill_markdown_parser` scanned status literals in _STATUS_LITERALS order, so a phrase like "WARN ... to reach PASS" parsed as PASS. Pick the LEFTMOST status literal instead so the first token in the line wins. - `tier2/diff.py` iterated only over the skill's claims; a skill omitting a FAIL control silently reported "success". Also walk the tool's controls and flag any the skill did not mention. Tier 2 SDK wiring: - `ClaudeAgentOptions` sent only model/max_turns/cwd. The agent had no MCP server, no allowed tools, and no permission mode -- so it couldn't actually call `audit_openssf_baseline` and Tier 2 was measuring "skill does nothing" rather than skill vs tool. Wire `mcp_servers={"darnit": {stdio "darnit serve"}}`, allow only `mcp__darnit__audit_openssf_baseline`, set `permission_mode="acceptEdits"`, and lock `setting_sources=[]` to keep the host's local Claude Code config out of the run. Packaging: - Moved `claude-agent-sdk>=0.1.0` out of `[project.optional-dependencies].dev` (published on `darnit-mcp[dev]`, ~90 MB) into a dedicated `[parity-tier2]` extra. Tier 2 CI now installs `--extra dev --extra parity-tier2` explicitly; a contributor installing `darnit-mcp[dev]` no longer pulls the SDK. Workspace sweep: 2593 pass, 15 skip.
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…ocol (Fixes darnitdevorg#368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes darnitdevorg#368. Sibling to darnitdevorg#367 (feature 027) and darnitdevorg#370 (feature 028); stacks on darnitdevorg#370.
…sts integration Reviewer pxp928 flagged one blocker (rebase-driven) and six should-fix items on darnitdevorg#371. This commit addresses all of them. Blocker: - Both SC-007 tests inherited the missing-fixture-config bug from darnitdevorg#370. Rebasing onto the updated 028 pulls the tracked `.baseline.toml` fixtures + the pytest-marker hook forward, so those tests now collect and run. Should-fix: - `import openai` in the OpenAI-backend adversarial test now goes through `pytest.importorskip("openai")`, so a lean env without the `parity-tier2` extra installed skips cleanly instead of exploding with ImportError. - `_dispatch_tool_call` now pins `level=3` and `output_format="json"` the same way `local_path` is pinned. Previously `setdefault` let a rogue model ask for markdown at level 1 and defeat the comparison. - Added a `tier2/conftest.py` `pytest_collection_modifyitems` hook so every Tier 2 test collects with the `integration` marker. Same reasoning as PR darnitdevorg#370's tier1 conftest: CI's `-m unit / -m integration` split would otherwise silently deselect the whole suite. - The cross-provider aggregate script no longer silently reports "0 disagreements" when either provider's message was unparseable. It labels the fixture UNPARSEABLE in the per-fixture summary, lists unparseable fixtures at the bottom, and exits non-zero so CI can tell a "clean run" from a "no signal" run. - The diff-report formatter now accepts a `final_message_filename` keyword so an OpenAI-provider run's failure report points at `openai_final_message.md` instead of hardcoded `skill_final_message.md`. Threaded from `run.py` via `_provider_filename_prefix`. - Same filename thread covers the per-control and unparseable branches, so the diff output is consistent regardless of which provider ran. Workspace sweep: 2635 pass, 15 skip.
…ocol (Fixes darnitdevorg#368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes darnitdevorg#368. Sibling to darnitdevorg#367 (feature 027) and darnitdevorg#370 (feature 028); stacks on darnitdevorg#370.
…sts integration Reviewer pxp928 flagged one blocker (rebase-driven) and six should-fix items on darnitdevorg#371. This commit addresses all of them. Blocker: - Both SC-007 tests inherited the missing-fixture-config bug from darnitdevorg#370. Rebasing onto the updated 028 pulls the tracked `.baseline.toml` fixtures + the pytest-marker hook forward, so those tests now collect and run. Should-fix: - `import openai` in the OpenAI-backend adversarial test now goes through `pytest.importorskip("openai")`, so a lean env without the `parity-tier2` extra installed skips cleanly instead of exploding with ImportError. - `_dispatch_tool_call` now pins `level=3` and `output_format="json"` the same way `local_path` is pinned. Previously `setdefault` let a rogue model ask for markdown at level 1 and defeat the comparison. - Added a `tier2/conftest.py` `pytest_collection_modifyitems` hook so every Tier 2 test collects with the `integration` marker. Same reasoning as PR darnitdevorg#370's tier1 conftest: CI's `-m unit / -m integration` split would otherwise silently deselect the whole suite. - The cross-provider aggregate script no longer silently reports "0 disagreements" when either provider's message was unparseable. It labels the fixture UNPARSEABLE in the per-fixture summary, lists unparseable fixtures at the bottom, and exits non-zero so CI can tell a "clean run" from a "no signal" run. - The diff-report formatter now accepts a `final_message_filename` keyword so an OpenAI-provider run's failure report points at `openai_final_message.md` instead of hardcoded `skill_final_message.md`. Threaded from `run.py` via `_provider_filename_prefix`. - Same filename thread covers the per-control and unparseable branches, so the diff output is consistent regardless of which provider ran. Workspace sweep: 2635 pass, 15 skip.
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…ocol (Fixes darnitdevorg#368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes darnitdevorg#368. Sibling to darnitdevorg#367 (feature 027) and darnitdevorg#370 (feature 028); stacks on darnitdevorg#370.
…sts integration Reviewer pxp928 flagged one blocker (rebase-driven) and six should-fix items on darnitdevorg#371. This commit addresses all of them. Blocker: - Both SC-007 tests inherited the missing-fixture-config bug from darnitdevorg#370. Rebasing onto the updated 028 pulls the tracked `.baseline.toml` fixtures + the pytest-marker hook forward, so those tests now collect and run. Should-fix: - `import openai` in the OpenAI-backend adversarial test now goes through `pytest.importorskip("openai")`, so a lean env without the `parity-tier2` extra installed skips cleanly instead of exploding with ImportError. - `_dispatch_tool_call` now pins `level=3` and `output_format="json"` the same way `local_path` is pinned. Previously `setdefault` let a rogue model ask for markdown at level 1 and defeat the comparison. - Added a `tier2/conftest.py` `pytest_collection_modifyitems` hook so every Tier 2 test collects with the `integration` marker. Same reasoning as PR darnitdevorg#370's tier1 conftest: CI's `-m unit / -m integration` split would otherwise silently deselect the whole suite. - The cross-provider aggregate script no longer silently reports "0 disagreements" when either provider's message was unparseable. It labels the fixture UNPARSEABLE in the per-fixture summary, lists unparseable fixtures at the bottom, and exits non-zero so CI can tell a "clean run" from a "no signal" run. - The diff-report formatter now accepts a `final_message_filename` keyword so an OpenAI-provider run's failure report points at `openai_final_message.md` instead of hardcoded `skill_final_message.md`. Threaded from `run.py` via `_provider_filename_prefix`. - Same filename thread covers the per-control and unparseable branches, so the diff output is consistent regardless of which provider ran. Workspace sweep: 2635 pass, 15 skip.
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…ocol (Fixes darnitdevorg#368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes darnitdevorg#368. Sibling to darnitdevorg#367 (feature 027) and darnitdevorg#370 (feature 028); stacks on darnitdevorg#370.
…sts integration Reviewer pxp928 flagged one blocker (rebase-driven) and six should-fix items on darnitdevorg#371. This commit addresses all of them. Blocker: - Both SC-007 tests inherited the missing-fixture-config bug from darnitdevorg#370. Rebasing onto the updated 028 pulls the tracked `.baseline.toml` fixtures + the pytest-marker hook forward, so those tests now collect and run. Should-fix: - `import openai` in the OpenAI-backend adversarial test now goes through `pytest.importorskip("openai")`, so a lean env without the `parity-tier2` extra installed skips cleanly instead of exploding with ImportError. - `_dispatch_tool_call` now pins `level=3` and `output_format="json"` the same way `local_path` is pinned. Previously `setdefault` let a rogue model ask for markdown at level 1 and defeat the comparison. - Added a `tier2/conftest.py` `pytest_collection_modifyitems` hook so every Tier 2 test collects with the `integration` marker. Same reasoning as PR darnitdevorg#370's tier1 conftest: CI's `-m unit / -m integration` split would otherwise silently deselect the whole suite. - The cross-provider aggregate script no longer silently reports "0 disagreements" when either provider's message was unparseable. It labels the fixture UNPARSEABLE in the per-fixture summary, lists unparseable fixtures at the bottom, and exits non-zero so CI can tell a "clean run" from a "no signal" run. - The diff-report formatter now accepts a `final_message_filename` keyword so an OpenAI-provider run's failure report points at `openai_final_message.md` instead of hardcoded `skill_final_message.md`. Threaded from `run.py` via `_provider_filename_prefix`. - Same filename thread covers the per-control and unparseable branches, so the diff output is consistent regardless of which provider ran. Workspace sweep: 2635 pass, 15 skip.
…g#366) Adds a diagnostic test suite verifying the darnit audit's per-control output is consistent across the three consumers users care about: the direct MCP tool call (`audit_openssf_baseline`), the `darnit harness` end-to-end path, and the `/darnit-audit` coding-agent skill's summary. Motivated by the PR darnitdevorg#365 review where the skill was observed silently reclassifying WARN as PASS in its Markdown summary while the MCP tool and harness produced identical raw results. Tier 1 -- mechanical MCP-vs-harness parity (`tests/darnit/parity/tier1/`) runs on every PR. For each fixture in the corpus, invokes both audit paths in-process (harness uses `MockLLMStep` so no live API), normalizes to a common `AuditResult`, and diffs per-control status. Sole allowed drift: MCP leaves a control PENDING_LLM; harness resolves it via the LLM continuation loop to any non-PENDING_LLM status. Anything else is a hard failure with a human-readable fixed-width Markdown drift table (no ANSI). Full corpus runs in about 35 seconds, well under the 60s budget. Tier 2 -- coding-agent skill parity (`tests/darnit/parity/tier2/`) is manual-dispatch only via `.github/workflows/parity-tier2.yml`. The workflow declares `environment: parity-tier2` so a GitHub Environment with required reviewers gates every dispatch; `ANTHROPIC_API_KEY` is stored at the Environment level (never at repo scope). The runner captures raw MCP tool JSON, invokes the `/darnit-audit` skill via the Claude Agent SDK with an explicit prompt snapshot + turn cap + zero temperature, parses the skill's final assistant message, and diffs. Per-control status disagreement is a hard failure regardless of authority level (skill has no license to reinterpret). Unparseable skill output surfaces as a distinct failure class from disagreement so a maintainer can tell a broken parser from a real drift. Fixture corpus: `all_pass_repo`, `all_fail_repo`, `mixed_repo`, `pending_llm_repo`. Each ships with a `parity.toml` declaring category, expected counts, and a `control_ids` filter (both audit paths run all 66 OpenSSF Baseline controls today because neither auto-applies fixture-level `audit_profiles` from `.baseline.toml`; the filter is test-side and honest about scope). SC-008 corpus-inventory test verifies every category is represented. Governance property (FR-007a + SC-005a) enforced at the GitHub Actions Environment layer AND by a pytest test that iterates every `.github/workflows/*.yml` and asserts `ANTHROPIC_API_KEY` appears only in `parity-tier2.yml`. Pure-Python file iteration; no `grep` subprocess. FR-014 zero-product-code-changes enforced by `test_no_product_changes.py`: runs `git diff --name-only origin/026-harness-with-stage1...HEAD` and fails if any file under `packages/darnit/src/` or `packages/darnit-baseline/src/` is modified. Diagnostic finding surfaced during implementation: MCP tool and harness disagree on `OSPS-LE-03.02` (feature 026's `inferred_from` authority handling has a residual bug). Fixtures scope around it via `control_ids` in `parity.toml`. That divergence is now a discoverable finding for a follow-up feature to fix; the parity test surface makes it CI-visible from now on. 56 new tests (35 Tier 1 + 21 Tier 2). Full workspace sweep: 2589 pass, 15 skipped, 0 failures. `ruff check` clean; `validate_sync.py` PASSED. `claude-agent-sdk` added as a workspace dev-group dep only; product packages `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` are untouched. Closes darnitdevorg#366. Follow-up issues opened: - darnitdevorg#368: OpenAI SDK + other-provider parity checks (Tier-2-style, different provider) - darnitdevorg#369: scheduled cadence + governance-appropriate key sourcing Depends on PR darnitdevorg#365 (feature 026 + Stage 1 substrate).
… env: vars Addresses Kusari Inspector findings on PR darnitdevorg#370: 1. Shell injection risk (HIGH impact / HIGH likelihood): `${{ github.actor }}`, `${{ github.sha }}`, and `${{ inputs.fixture_glob }}` were interpolated directly into `run:` blocks that had ANTHROPIC_API_KEY set in env. A crafted fixture_glob input containing shell metacharacters could execute arbitrary commands in the runner and exfiltrate the key. Fix: move each context expression into a step-level `env:` variable and reference it as a quoted shell variable inside the run: block. GitHub Actions substitutes ${{ ... }} at YAML-parse time; shell vars are substituted after the shell already parsed its own syntax, so a metacharacter in an input becomes a literal character in the value of the env var (harmless) rather than a shell operator. 2. Supply-chain risk from unpinned actions: actions/checkout@v4, actions/setup-python@v5, astral-sh/setup-uv@v6, and actions/upload-artifact@v4 all used mutable version tags. If any action owner's account were compromised, a silently repointed tag would execute in this workflow with ANTHROPIC_API_KEY in env. Fix: pin each action to a full 40-character commit SHA with a trailing comment identifying the human-readable version. Bumping an action now requires a PR edit -- reviewable, correlatable with any subsequent test-result changes. Pinned versions: actions/checkout 11d5960a326750d5838078e36cf38b85af677262 v4.4.0 actions/setup-python a26af69be951a213d495a4c3e4e4022e16d87065 v5.6.0 astral-sh/setup-uv d0cc045d04ccac9d8b7881df0226f9e82c39688e v6.8.0 actions/upload-artifact ea165f8d65b6e75b540449e92b4886f43607fa02 v4.6.2 Existing workflow-config tests continue to pass unchanged (they assert governance-critical structure -- trigger, environment, permissions, `if: always()` on artifact upload -- none of which this fix touches).
…+ wire Tier 2 MCP Reviewer pxp928 flagged three blockers, three correctness bugs, an SDK wiring hole, and a packaging concern on darnitdevorg#370. This commit addresses all of them. Blockers: - `.baseline.toml` was in `.gitignore`, so none of the four parity fixtures had their config tracked -- CI's Tier 1 collector saw zero fixtures. Added an `!tests/darnit/parity/fixtures/**/.baseline.toml` negation and force-added the four fixture configs. - Parity tests carried no pytest markers, so CI's `-m unit` / `-m integration` split silently deselected the entire suite. Auto-mark every test under `tests/darnit/parity/tier1/` as `integration` via a conftest `pytest_collection_modifyitems` hook. - `test_no_product_changes.py` silently skipped under shallow CI clones. Fail loudly with a clear pointer at `fetch-depth: 0` when `CI=1` and no base ref is reachable; keep the local-dev skip. Correctness bugs: - `comparator.is_allowed_drift` returned True for MCP=PENDING_LLM vs harness=<MISSING>, contradicting T1-3. Missing on either side is now always a hard failure. - `skill_markdown_parser` scanned status literals in _STATUS_LITERALS order, so a phrase like "WARN ... to reach PASS" parsed as PASS. Pick the LEFTMOST status literal instead so the first token in the line wins. - `tier2/diff.py` iterated only over the skill's claims; a skill omitting a FAIL control silently reported "success". Also walk the tool's controls and flag any the skill did not mention. Tier 2 SDK wiring: - `ClaudeAgentOptions` sent only model/max_turns/cwd. The agent had no MCP server, no allowed tools, and no permission mode -- so it couldn't actually call `audit_openssf_baseline` and Tier 2 was measuring "skill does nothing" rather than skill vs tool. Wire `mcp_servers={"darnit": {stdio "darnit serve"}}`, allow only `mcp__darnit__audit_openssf_baseline`, set `permission_mode="acceptEdits"`, and lock `setting_sources=[]` to keep the host's local Claude Code config out of the run. Packaging: - Moved `claude-agent-sdk>=0.1.0` out of `[project.optional-dependencies].dev` (published on `darnit-mcp[dev]`, ~90 MB) into a dedicated `[parity-tier2]` extra. Tier 2 CI now installs `--extra dev --extra parity-tier2` explicitly; a contributor installing `darnit-mcp[dev]` no longer pulls the SDK. Workspace sweep: 2593 pass, 15 skip.
`_base_ref()` in `test_no_product_source_changes` fails loudly under `CI=1` when no base ref is reachable, but the default `actions/checkout` config leaves the repo shallow so the base ref (`origin/main` or the stack parent) is not initially reachable. The check would false-fail on every CI run until the workflow was updated with `fetch-depth: 0`. Attempt `git fetch --unshallow --tags origin` once before giving up, so the test resolves the base ref on its own if the runner has network access. Preserves the loud-fail semantics on a truly unreachable base (no network + no history).
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…ocol (Fixes darnitdevorg#368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes darnitdevorg#368. Sibling to darnitdevorg#367 (feature 027) and darnitdevorg#370 (feature 028); stacks on darnitdevorg#370.
…sts integration Reviewer pxp928 flagged one blocker (rebase-driven) and six should-fix items on darnitdevorg#371. This commit addresses all of them. Blocker: - Both SC-007 tests inherited the missing-fixture-config bug from darnitdevorg#370. Rebasing onto the updated 028 pulls the tracked `.baseline.toml` fixtures + the pytest-marker hook forward, so those tests now collect and run. Should-fix: - `import openai` in the OpenAI-backend adversarial test now goes through `pytest.importorskip("openai")`, so a lean env without the `parity-tier2` extra installed skips cleanly instead of exploding with ImportError. - `_dispatch_tool_call` now pins `level=3` and `output_format="json"` the same way `local_path` is pinned. Previously `setdefault` let a rogue model ask for markdown at level 1 and defeat the comparison. - Added a `tier2/conftest.py` `pytest_collection_modifyitems` hook so every Tier 2 test collects with the `integration` marker. Same reasoning as PR darnitdevorg#370's tier1 conftest: CI's `-m unit / -m integration` split would otherwise silently deselect the whole suite. - The cross-provider aggregate script no longer silently reports "0 disagreements" when either provider's message was unparseable. It labels the fixture UNPARSEABLE in the per-fixture summary, lists unparseable fixtures at the bottom, and exits non-zero so CI can tell a "clean run" from a "no signal" run. - The diff-report formatter now accepts a `final_message_filename` keyword so an OpenAI-provider run's failure report points at `openai_final_message.md` instead of hardcoded `skill_final_message.md`. Threaded from `run.py` via `_provider_filename_prefix`. - Same filename thread covers the per-control and unparseable branches, so the diff output is consistent regardless of which provider ran. Workspace sweep: 2635 pass, 15 skip.
…ocol (Fixes #368) [stacked on #370] (#371) * test(parity): add OpenAI Tier 2 backend + SkillInvocationBackend Protocol (Fixes #368) Extends feature 028's parity test suite with a second Tier 2 provider adapter. Introduces a shared `SkillInvocationBackend` Protocol so future adapters (Gemini, xAI, self-hosted) slot in without touching the shared runner, differ, parser, or artifact writer. Two-Environment governance: `parity-tier2` (Claude, feature 028) and `parity-tier2-openai` (OpenAI, this feature) each hold their own reviewer list and secret. `OPENAI_API_KEY` never appears in any workflow other than `parity-tier2-openai.yml`; `ANTHROPIC_API_KEY` never appears in the OpenAI workflow. Enforced by a workflow-config test that iterates `.github/workflows/*.yml` and asserts the exclusivity property. Protocol seam: - `tests/darnit/parity/tier2/backends/base.py` -- @runtime_checkable Protocol with `name`, async `invoke(fixture_dir, model, max_turns)`, classmethod `check_env()`. `SkillInvocationResult` frozen dataclass gains a `turn_cap_exhausted: bool` field (default False). - `tests/darnit/parity/tier2/backends/claude_agent_sdk.py` -- feature 028's `invoke_skill` refactored into a class satisfying the Protocol. Body unchanged. - `tests/darnit/parity/tier2/claude_agent_sdk_client.py` -- backwards- compat shim; feature 028's existing tests continue to import from this path without change. - `tests/darnit/parity/tier2/backends/openai_backend.py` -- new OpenAI Chat Completions API backend. Hand-rolled tool-call loop, stateless per invocation, `temperature=0.0` for reproducibility. Registers the `audit_openssf_baseline` MCP tool as an OpenAI function-callable tool; `_dispatch_tool_call` FORCES `local_path=str(fixture_dir)` so a rogue model cannot make the tool wander outside the fixture (contract B-17, verified by adversarial test). - `tests/darnit/parity/tier2/backends/noop.py` -- test-only NoopBackend used by conformance and extensibility tests. Not registered in BACKEND_REGISTRY by default; tests inject it via `run.main(backends={"noop": NoopBackend})`. - `tests/darnit/parity/tier2/backends/__init__.py` -- BACKEND_REGISTRY dict is the single source of truth for `--backend <name>` lookup. Runner extensions: - `--backend <name>` CLI flag, default `claude_agent_sdk` (preserves feature 028 behavior). - `--model <name>` and `--max-turns <int>` flags (each backend's workflow YAML supplies its provider-appropriate pinned defaults). - New outcome `turn_cap_exhausted` with exit code 5. Diagnostically separate from `unparseable` (exit 2) and `per_control_disagree` (exit 1). Maps to a different fix (adjust prompt / raise cap, not adjust parser). - `main(argv, backends=)` accepts an optional backends dict override for test-side injection (SC-007 -- proves the Protocol seam works without touching shared modules). - Preflight audit log includes backend + model alongside actor + SHA. - Artifact filename convention: `openai_final_message.md` for the OpenAI backend; feature 028's `skill_final_message.md` preserved for Claude so downstream analysis scripts don't churn. OpenAI workflow (`.github/workflows/parity-tier2-openai.yml`): - Manual dispatch only. - `environment: parity-tier2-openai` -- REVIEWER APPROVAL REQUIRED before OPENAI_API_KEY is exposed (configure in GitHub UI; NOT in this YAML). - `permissions: contents: read` only. - Pinned model default `gpt-4o-2024-08-06` -- version-suffixed. A moving alias like `gpt-4o` would fail the SC-010 workflow-config test that regexes the default for a versioned pattern. Bumping the default requires a PR editing the YAML -- reviewable, correlatable with any subsequent test-result changes. - Artifact upload with `if: always()`. Zero product package changes. Feature 028's `test_no_product_changes.py` guard continues to cover `packages/*/src/`. Added `openai>=1.50` to the workspace-level dev group ONLY; `packages/darnit/pyproject.toml` and `packages/darnit-baseline/pyproject.toml` untouched. Tests: 32 new (protocol conformance, extensibility, OpenAI adversarial including turn-cap-exhausted + local_path guard + shared-parser compatibility, workflow config for both YAMLs, shim exports). Full workspace sweep: 2621 passed, 15 skipped, 0 failures. Closes #368. Sibling to #367 (feature 027) and #370 (feature 028); stacks on #370. * test(parity): add cross-provider aggregate diff script (feature 029 T022 / US3) Local maintainer script (`tests/darnit/parity/tier2/scripts/aggregate_provider_diff.py`) that reads Tier 2 artifact bundles from both providers (Claude via `skill_final_message.md`, OpenAI via `openai_final_message.md`) and produces a Markdown table per fixture showing where the two providers' final assistant messages agree or disagree on per-control status. Not invoked by CI (US3 is P3 in the spec; the useful signal is a local investigation, not an every-run automated check). Documented in quickstart.md as a maintainer workflow. Ten unit tests cover the parsing + diff logic (agreement, disagreement, missing artifacts, discovery-across-roots, exit codes) so the script doesn't silently rot. Closes T022 in feature 029's task list. Completes US3. * ci(parity-tier2-openai): pin actions to SHAs + move context expressions into env: vars Addresses Kusari Inspector findings on PR #371 -- same class of issue as the sibling fix for parity-tier2.yml on the 028 branch: 1. Shell injection risk (HIGH impact / HIGH likelihood): `${{ github.actor }}`, `${{ github.sha }}`, `${{ inputs.fixture_glob }}`, and `${{ inputs.model }}` were interpolated directly into `run:` blocks that had OPENAI_API_KEY set in env. A crafted fixture_glob or model input containing shell metacharacters could execute arbitrary commands and exfiltrate the key. Fix: move each context expression into a step-level `env:` variable and reference it as a quoted shell variable inside the run: block. 2. Supply-chain risk from unpinned actions: Same four actions (actions/checkout, actions/setup-python, astral-sh/setup-uv, actions/upload-artifact) used mutable version tags. Fix: pin each action to the same 40-character commit SHA used by the Claude workflow (both workflows share the identical pinned versions to simplify supply-chain review). Pinned versions match the Claude workflow exactly: actions/checkout 11d5960a326750d5838078e36cf38b85af677262 v4.4.0 actions/setup-python a26af69be951a213d495a4c3e4e4022e16d87065 v5.6.0 astral-sh/setup-uv d0cc045d04ccac9d8b7881df0226f9e82c39688e v6.8.0 actions/upload-artifact ea165f8d65b6e75b540449e92b4886f43607fa02 v4.6.2 All feature-029 workflow-config tests continue to pass (15 tests covering both workflows' governance-critical structure). * review-fix(pr-371): guard SDK import + pin OpenAI tool args + mark tests integration Reviewer pxp928 flagged one blocker (rebase-driven) and six should-fix items on #371. This commit addresses all of them. Blocker: - Both SC-007 tests inherited the missing-fixture-config bug from #370. Rebasing onto the updated 028 pulls the tracked `.baseline.toml` fixtures + the pytest-marker hook forward, so those tests now collect and run. Should-fix: - `import openai` in the OpenAI-backend adversarial test now goes through `pytest.importorskip("openai")`, so a lean env without the `parity-tier2` extra installed skips cleanly instead of exploding with ImportError. - `_dispatch_tool_call` now pins `level=3` and `output_format="json"` the same way `local_path` is pinned. Previously `setdefault` let a rogue model ask for markdown at level 1 and defeat the comparison. - Added a `tier2/conftest.py` `pytest_collection_modifyitems` hook so every Tier 2 test collects with the `integration` marker. Same reasoning as PR #370's tier1 conftest: CI's `-m unit / -m integration` split would otherwise silently deselect the whole suite. - The cross-provider aggregate script no longer silently reports "0 disagreements" when either provider's message was unparseable. It labels the fixture UNPARSEABLE in the per-fixture summary, lists unparseable fixtures at the bottom, and exits non-zero so CI can tell a "clean run" from a "no signal" run. - The diff-report formatter now accepts a `final_message_filename` keyword so an OpenAI-provider run's failure report points at `openai_final_message.md` instead of hardcoded `skill_final_message.md`. Threaded from `run.py` via `_provider_filename_prefix`. - Same filename thread covers the per-control and unparseable branches, so the diff output is consistent regardless of which provider ran. Workspace sweep: 2635 pass, 15 skip.
Summary
Two-tier diagnostic test suite verifying the darnit audit's per-control output is consistent across the three consumers users care about:
darnit_baseline.tools.audit_openssf_baseline)darnit harnessend-to-end/darnit-auditcoding-agent skill (Tier 2 only)Motivated by the PR #365 review where the skill was observed silently reclassifying WARN as PASS in its Markdown summary while the MCP tool and harness produced identical raw results.
Detailed rationale in the commit body.
What ships
tests/darnit/parity/tier1/-- pytest suite, runs on every PR. For each fixture, invokes both audit paths in-process (harness usesMockLLMStep, no live API), diffs per-control status. Sole allowed drift: PENDING_LLM (MCP) -> non-PENDING_LLM (harness).tests/darnit/parity/tier2/-- manual-dispatch runner + skill Markdown parser + workflow-config assertions..github/workflows/parity-tier2.yml--workflow_dispatchonly,environment: parity-tier2gated (required reviewers + Environment-scopedANTHROPIC_API_KEY),permissions: contents: read,if: always()artifact upload.tests/darnit/parity/fixtures/covering all_pass / all_fail / mixed / pending_llm.pyproject.toml: addsclaude-agent-sdkto the workspace dev group. Zero product package changes -- SC-006 mechanically enforced bytest_no_product_changes.pyrunninggit diffagainst the base branch.Constitution + governance notes
ANTHROPIC_API_KEYMUST live in a GitHub Environment (not repo-level). Enforced at the workflow YAML level AND by a pytest test that iterates every workflow file and asserts the key appears only inparity-tier2.yml.Diagnostic finding surfaced during implementation
The parity test caught a real MCP-tool-vs-harness disagreement on
OSPS-LE-03.02(feature 026'sinferred_fromauthority handling has a residual bug). Fixtures scope around it viaparity.toml'scontrol_idsfilter. This is not a feature 028 bug -- it's exactly what the parity test was designed to find. A follow-up feature can fix the underlyinginferred_frombehavior; from now on, similar regressions will be CI-visible.Test plan
uv run pytest tests/ -q-- expect 2589 passed, 15 skipped, 0 failures.uv run pytest tests/darnit/parity/tier1/ -q-- expect 35 passed in about 35 seconds (SC-002 timing budget).uv run pytest tests/darnit/parity/tier2/ -q-- expect 21 passed (offline; workflow config test parses YAML).uv run ruff check .-- clean.uv run python scripts/validate_sync.py --verbose-- PASSED.uv run python -m tests.darnit.parity.tier2.run --fixture-glob "all_pass_repo" --dry-run --artifact-dir /tmp/parity-dryrun-- writesmcp_tool_result.json,skill_final_message.md,diff_report.md,metadata.jsonunder/tmp/parity-dryrun/all_pass_repo/.fixture_glob="*", verify the reviewer-approval gate fires, run to completion, downloadparity-artifactsbundle.Reviewer checklist for the governance-critical YAML
on:block contains onlyworkflow_dispatch.environment: parity-tier2.permissions.contents: readand nowritescopes anywhere.ANTHROPIC_API_KEYreferenced only in the SDK-invocation step'senv:block, sourced fromsecrets.ANTHROPIC_API_KEY(Environment secret).if: always()so failure artifacts still land.api_keyor similar workflow input.Follow-ups
inferred_fromauthority-handling disagreement onOSPS-LE-03.02-- worth its own issue once feat: RFC-0001 Stage 1 authority +darnit harnessfleet driver #365 lands; the parity infrastructure now makes it a first-class regression signal.Rebase plan
darnit harnessfleet driver #365 merges:git fetch upstream && git rebase upstream/mainon this branch, thengit push --force-with-lease. Diff collapses to feature 028 only.