Context
Feature 028 (spec at specs/028-audit-parity-tests/spec.md, PR TBD) ships a two-tier parity test suite:
- Tier 1: mechanical MCP-tool-vs-harness parity (no API, every PR).
- Tier 2: coding-agent skill vs raw tool output, invoked via the Claude Agent SDK.
Tier 2 is intentionally provider-specific in the MVP -- the darnit product surface is invoked by real users through Claude Code today, so measuring drift against that specific consumer is where the diagnostic value lives.
What this issue asks for
Parallel Tier-2-style parity checks for OTHER provider agent SDKs -- OpenAI's assistants SDK, and whatever future SDK becomes relevant (Gemini, Anthropic non-Claude-Code paths, self-hosted coding agents). The shape is the same as the Claude Agent SDK path in feature 028: invoke a skill-like scripted agent, capture its final assistant message, diff against the raw MCP tool output for the same fixture. Different SDK, same fixture corpus, same parser strategy.
Why not bundle with feature 028
- Each SDK has its own dep, install path, and prompt-shape quirks. Bundling multiplies scope without material MVP benefit.
- The
/darnit-audit skill is Claude-Code-specific today (it's a Claude Code skill). Reproducing its behavior on another provider requires porting the skill or using an OpenAI-equivalent -- design work of its own.
- The governance concern that made feature 028 manual-only (API-key ownership under neutral governance) applies here too but each provider has different secret-management shapes.
Scope for a follow-up feature (or features)
Related
Context
Feature 028 (spec at
specs/028-audit-parity-tests/spec.md, PR TBD) ships a two-tier parity test suite:Tier 2 is intentionally provider-specific in the MVP -- the darnit product surface is invoked by real users through Claude Code today, so measuring drift against that specific consumer is where the diagnostic value lives.
What this issue asks for
Parallel Tier-2-style parity checks for OTHER provider agent SDKs -- OpenAI's assistants SDK, and whatever future SDK becomes relevant (Gemini, Anthropic non-Claude-Code paths, self-hosted coding agents). The shape is the same as the Claude Agent SDK path in feature 028: invoke a skill-like scripted agent, capture its final assistant message, diff against the raw MCP tool output for the same fixture. Different SDK, same fixture corpus, same parser strategy.
Why not bundle with feature 028
/darnit-auditskill is Claude-Code-specific today (it's a Claude Code skill). Reproducing its behavior on another provider requires porting the skill or using an OpenAI-equivalent -- design work of its own.Scope for a follow-up feature (or features)
Related
specs/028-audit-parity-tests/spec.md(Q1 clarification on 2026-08-09).darnit harnessfleet driver #365 review noting the Claude-Code/darnit-auditskill silently reclassifying WARN as PASS.