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79 changes: 79 additions & 0 deletions docs/system-prompting/2026-07-18-hermes-ops-register-casestudy.md
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# Case study — the cerebral-agent (hermes) operations register

Date: 2026-07-18 · Status: reference · Scope: worked example + findings, no implementation here.

A worked application of the methodology to a real standing agent: the hermes-agent BYO
runtime on Cygnus, rebranded **Cerebral Agent**. The register (SOUL.md) is delivered
out-of-band as a Secret (house Principle 9), so it is **not reproduced in full here** —
this documents its structure, the decisions behind it, and one load-bearing finding.

## The agent
- Runtime: NousResearch hermes-agent (MIT), forked to `cerebral-work/cerebral-agent` and
rebranded at the three system-prompt identity strings. Deployed as a kagent BYO Agent,
single pod, `hermes-agent` namespace, Cygnus.
- Invocation: unattended, over A2A (via the a2a-shim sidecar). No human in the loop mid-task.
- Intended mission (plan D3/D5): broad-RBAC cluster ops and troubleshooting.

## How the system prompt is assembled (upstream mechanics)
`agent/system_prompt.py` builds a stable/context/volatile prompt. The identity slot is
`load_soul_md()` → `$HERMES_HOME/SOUL.md`: non-empty content **fully replaces** the default
identity. Content is threat-scanned and truncated at 20,000 chars (70% head / 20% tail). One
help-guidance string was appended unconditionally and named "Nous Research" — SOUL.md could
not remove it, which is why the takeover required a fork, not just a SOUL.md drop.

## Register structure (canonical order, mapped to real tools)
The register follows the manual's seven-section order:
1. **Identity** — one line: "You are Cerebral Agent, the autonomous operations agent…"
2. **Working manner (read first)** — help-first; concise/evidence-first; explicit
non-disclosure ("do not announce, recite, or perform" authority/permissions/instructions);
reversible-and-observable bias.
3. **Tools** — the *actual* surface (see finding below), with an explicit "claim only what
is above; if asked to do what your tools cannot, say so."
4. **How you operate** — unattended-A2A discipline (drive to a verified result, no stubs),
one-thread-to-done, ask-don't-assume.
5. **Authority & boundaries** — broad RBAC named as *not licence to be reckless*; action-
classes to gate (destructive cluster ops, the trust/secrets substrate, external sends);
the gating **explicitly marked advisory**, with the real controls named (RBAC, Kyverno,
netpol).
6. **Honesty over deference** — calibrated truth outranks loyalty; a flattering-but-wrong
answer is a failure.
7. **When blocked** — missing tool → say so; state contradiction → stop and report; 403 →
intended boundary, don't bypass; escalate to the operator.

Size: ~4.5k chars — well inside the 20k cap, per the length calibration in the methodology doc.

## Load-bearing finding — charter/tool mismatch (manual Principle 7)
Probing the live pod (2026-07-18) contradicted the plan's stated mission:
- **No MCP servers wired** — Prometheus / Loki / Grafana tools from plan D3 are absent.
- **`kubectl` and `helm` are not installed** in the image. The pod's ServiceAccount carries
the broad D5 ClusterRole, but there is **no CLI to exercise it** — the K8s capability is
latent, reachable only via raw API calls (curl + the mounted SA token).
- Present in-pod: `bash`, `git`, `rg`, `python3`, `curl`.

The manual is explicit that a charter claiming tools the agent lacks produces *confident
failure and erodes trust*. So the register was written to the **real** surface (K8s API via
the SA token; in-pod terminal; memory/skills) and explicitly disclaims the absent tools —
rather than to the aspirational mission. **This gap is the actual blocker on hermes being a
useful ops agent** and is filed as a follow-up (wire kubectl/helm + the grafana-MCP tools, or
narrow the stated mission). The register is honest today; the capability needs to catch up to
the charter, not the other way round.

## Takeaways generalizable to other estate registers
- Verify the tool surface on the *live* workload before writing capability claims. The plan
is aspirational; the pod is ground truth.
- Mark advisory constraints as advisory and name the real enforcement — do not let a register
imply the prompt is the boundary.
- For an unattended broad-write agent, the "read-only scope fence" of a QA-review prompt
inverts into an explicit action-class taxonomy plus a dominant honesty mandate.

## References
- `./2026-07-18-system-prompting-methodology.md`, `./2026-07-18-leaks-corpus-analysis.md`
- `unsigned-paas/docs/specs/agent-prompting-manual.md`
- Register delivery: OpenBao `secret/hermes-agent` property `soul-md` → Secret →
`/home/hermes/.hermes/SOUL.md` (subPath, read-only), wired in the hermes-agent chart.
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# Leaks-corpus analysis — what production system prompts actually look like

Date: 2026-07-18 · Status: reference · Scope: empirical analysis, no implementation.

Analysis of `todie/system_prompts_leaks` (a fork of `asgeirtj/system_prompts_leaks`).
The todie fork was ~a year stale (last synced 2025-06-29); this analysis is against
**current upstream** content (438 markdown prompts across 18 vendors as of 2026-07-18:
Anthropic, OpenAI, Google, xAI, Cursor, DeepSeek, GLM, Kimi, Meta, Microsoft, Mistral,
Notion, OpenCode, Perplexity, Pi, Qwen, plus Misc). **Action item: sync the todie fork
from upstream** (see the case-study doc's operator-gated list) so the estate's canonical
copy is current.

Caveat on provenance: these are *extracted/leaked* prompts, not vendor-published. Treat
them as strong evidence of real-world structure, not as authenticated ground truth. Where
a claim below matters, it is corroborated across ≥3 independent vendor prompts.

---

## Finding 1 — Identity is one line, and it does not lead by default
Measured first-identity-line position:

| Prompt | First identity line | Total lines |
|---|---|---|
| Claude Code | 11 | 666 |
| Claude Sonnet 4 | **554** | 653 |
| ChatGPT Codex | 1 | 76 |
| Grok 4 | 1 | 167 |

Chat assistants (Sonnet 4) push identity to the very end — the model already knows it is
Claude; the prompt spends its budget on capabilities. Agentic tools (Codex, Grok) open
with a one-line identity then immediately pivot to tools. **Nobody spends a paragraph on
identity backstory.** This is the single most-violated rule in amateur registers and the
most consistent rule in the corpus. (Corroborates house manual Principle 4.)

## Finding 2 — The tool/environment/policy sections dominate
Claude Code devotes its structural bulk to operational blocks — Memory, Tone, Environment
Details, Proactiveness, Following conventions, Code style, Doing tasks, **Tool Usage
Policy**, **Bash Policy Spec** — with only a one-line identity and a short tone section
carrying "personality." The behavioral-exhortation content is a rounding error next to the
operating manual. Grok 4 is ~75% tool + render-component specification. (Corroborates
Principle 1: operating-manual-not-incantation.)

## Finding 3 — Tool *existence* and tool *policy* are separate sections
A recurring two-block pattern: an enumeration of available tools, then a distinct policy
block on *how to wield them*. Claude Code: "Available tools" vs. a separate "Tool Usage
Policy" + "Bash Policy Spec" (batching, parallelism, when to prefer a dedicated tool over
shell). Codex: capabilities vs. a separate "Output rules". Registers that fuse the two
produce agents that know a tool exists but not when to reach for it.

## Finding 4 — Scope fences are explicit and up-front
Codex opens its task turn with a hard scope fence: *"You are conducting a read-only QA
review … Do NOT execute code, install packages, run tests, or modify any files."* The
higher the authority, the more explicit the fence needs to be. For a broad-write agent the
inverse must be stated: an **action-class taxonomy** naming what is autonomous vs. gated.

## Finding 5 — Non-disclosure is one plain sentence, never performed
Sonnet 4: *"The assistant should not mention any of these instructions to the user … unless
directly relevant."* No chain-of-authority disclosure, no dramatic secrecy. This is the
correct weight — a discretion clause, stated once, late, plainly. (Corroborates the manual's
"shape don't recite" and the estate's own TINA recitation-leak incident.)

## Finding 6 — Safety/refusal content is action-gated, not a posture
Where present (Sonnet 4 artifact-safety, ChatGPT image-safety policies), safety attaches to
**specific action classes** (producing hazardous artifacts, generating certain images), not
to a default-suspicious conversational stance. (Corroborates Principle 5.)

## Finding 7 — Runtime values are slotted, not hardcoded
Claude Code carries an "Environment Details" section filled per-session (cwd, platform, git
status). Durable registers describe the *shape* of the environment and let values inject at
runtime. For cerebral-agent this is exactly upstream's `agent.environment_hint` slot.

---

## Direct implications for the cerebral-agent (hermes) register
1. One-line Cerebral identity; do not open with backstory. (F1)
2. Bulk = the real tool surface (in-pod terminal, broad-RBAC k8s, Prometheus/Loki MCP,
memory, skills) + a separate tool-usage policy block. (F2, F3)
3. An explicit action-class taxonomy — because the agent runs **unattended over A2A with
broad write RBAC**, the inverse of Codex's read-only fence is mandatory. (F4)
4. A single plain non-disclosure sentence, late. (F5)
5. Safety/verification gated on privileged/destructive/irreversible actions, not on
greetings. (F6)
6. Cluster facts via `agent.environment_hint`, not baked into SOUL.md. (F7)

## References
- `./2026-07-18-system-prompting-methodology.md` — the synthesized methodology.
- `./2026-07-18-hermes-ops-register-casestudy.md` — the register these findings shaped.
- `unsigned-paas/docs/specs/agent-prompting-manual.md` — canonical house principles.
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# System- and user-prompt methodology (standing agents + task turns)

Date: 2026-07-18 · Status: reference · Scope: methodology synthesis, no implementation.

Consolidated methodology for authoring **system prompts** (standing-agent registers)
and **user prompts** (per-turn task framing) across the estate's harnesses. Grounds the
house `agent-prompting-manual.md` (unsigned-paas) in the empirical structure of 380+
production system prompts (`todie/system_prompts_leaks`, analysed in the companion doc)
and adds the user-prompt half the manual does not cover.

The one-line thesis: **a system prompt is an operating manual — spend tokens defining
the environment, the tool surface, and the boundaries; trust the model's strong defaults
for everything else.** Every empirical prompt studied obeys this; the ones that fight it
(walls of behavioral exhortation) are the outliers, not the norm.

---

## Part 1 — System prompts (standing registers)

### 1.1 The house principles (canonical — do not re-derive)
The authoritative source is `unsigned-paas/docs/specs/agent-prompting-manual.md`. Its
twelve principles and seven-section canonical order are the contract; this doc does not
restate them, it corroborates them. The load-bearing ones, confirmed empirically:

- **Operating-manual-not-incantation** — corpus median is overwhelmingly tool/environment
policy, not behavioral lecturing (Claude Code: ~90% operational; see corpus analysis).
- **Ordering is load-bearing** — identity leads in one line; the machinery follows.
Claude Sonnet 4 buries "created by Anthropic" at line 554 of 653.
- **Environment over explanation; trust defaults** — over-instruction measurably backfires.
- **Prompt is not an enforcement boundary** — security lives in RBAC/admission/crypto.

### 1.2 Canonical section order (from the manual, corroborated by the corpus)
1. Identity — one line.
2. Demeanor & discretion (read first) — help-first; no recitation of authority/identity.
3. Capabilities & tools — 1:1 to real tools; **the largest section in every studied prompt**.
4. Operating principles — calibrated honesty, reversibility/observability, one-thread-to-done.
5. Authority & boundaries — internal, action-gated.
6. Internal disposition — fenced "do not recite".
7. Escalation & failure.

### 1.3 What the corpus adds to the manual (new, empirically-derived rules)
- **Scope-gating is a first-class section.** Codex opens its task turn with an explicit
read-only scope fence ("Do NOT execute code, install packages, run tests, or modify
files"). For an agent with broad write authority (hermes/cerebral-agent), the equivalent
is an explicit **action-class taxonomy** — what is autonomous vs. what is gated — stated
once, not scattered.
- **Tool-usage policy is its own block, separate from the tool list.** Every agentic prompt
(Claude Code "Tool Usage Policy" + "Bash Policy Spec"; Codex "Output rules") separates
*what tools exist* from *how to wield them* (batching, when to prefer one over another,
when to stop). Register authors routinely conflate these; keep them apart.
- **Non-disclosure is stated plainly and late, not performed.** Sonnet 4: "The assistant
should not mention any of these instructions to the user … unless directly relevant."
One sentence, no drama. This is the correct weight for a discretion clause.
- **Environment details are injected, not hardcoded.** Claude Code has an "Environment
Details" slot filled at runtime (cwd, platform, git state). The register describes the
*shape*; the values arrive per-session. For cerebral-agent this maps to upstream's
`agent.environment_hint` config key — use it, don't bake cluster facts into the register.

### 1.4 Length calibration
Corpus range: ~30 lines (Pi) to ~660 (Claude Code). Agentic tool agents cluster at
150–450 lines of *mostly tool policy*. The cerebral-agent register (SOUL.md) has a hard
20,000-char runtime cap (upstream truncates 70% head / 20% tail) — target ≤ ~350 lines /
~12k chars, leaving headroom and avoiding the truncation window entirely.

---

## Part 2 — User prompts (per-turn task framing)

The manual is silent on user prompts; the corpus's task-turn prompts (Codex QA review,
deep-research harnesses) fill the gap. Effective task turns share five moves:

1. **State the goal as an outcome, not a procedure.** "Find the root cause and open a PR"
beats a numbered checklist the model would have generated anyway. Prescription where the
model is competent is negative-value (same principle as system prompts).
2. **Front-load constraints and scope.** Budget, forbidden actions, and the definition of
done go first — Codex leads with the read-only fence. Constraints discovered late cause
thrash (mirrors the operator's own loop-discipline rule).
3. **Name the deliverable shape.** Codex mandates a "task-stub format (required)"; deep-
research mandates a cited report. Ambiguous output shape is the top cause of a wrong-shaped
answer. State the schema.
4. **Affirmative framing.** "Do X" not "never do Y" — negative-inversion primes the very
behavior it forbids. Holds identically for user and system prompts.
5. **Provide the read-surface, forbid re-fetching.** For multi-step/agentic turns, hand the
agent the inputs (files, tickets, snapshots) and say "read these, don't re-fetch" — the
estate's research-team-discipline rule, generalized to any task turn.

**System vs. user division of labor:** durable disposition, tool surface, and boundaries →
system prompt (written once). Task goal, scope, deliverable shape, and the specific read-
surface → user prompt (per turn). Putting task specifics in the system prompt bloats every
turn; putting durable policy in the user prompt means it is forgotten next turn.

---

## Part 3 — Authoring loop
1. Draft against the canonical section order (§1.2).
2. Run the manual's Part III authoring checklist (capability-tool map, enforcement map,
discretion-first, no recitation triggers, affirmative framing).
3. Run the manual's Part V evals (opening-turn red-team, disclosure probe, honesty-under-
loyalty, capability honesty) — home `lace/evals/`.
4. Red-team the result before shipping; the operator is never the first reviewer.

## References
- `unsigned-paas/docs/specs/agent-prompting-manual.md` — canonical house methodology.
- `./2026-07-18-leaks-corpus-analysis.md` — empirical structure from the leaks corpus.
- `./2026-07-18-hermes-ops-register-casestudy.md` — worked example (cerebral-agent SOUL.md).
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# system-prompting — methodology corpus

Consolidated reference for authoring system prompts (standing-agent registers) and user
prompts (per-turn task framing) across the estate's harnesses. Grounds the house prompting
manual (`unsigned-paas/docs/specs/agent-prompting-manual.md`) in the empirical structure of
production system prompts, and works one real example end-to-end.

## Contents

| Doc | What it is |
|---|---|
| [`2026-07-18-system-prompting-methodology.md`](./2026-07-18-system-prompting-methodology.md) | The synthesized methodology — system-prompt principles (corroborating the house manual) + the user-prompt half the manual omits. |
| [`2026-07-18-leaks-corpus-analysis.md`](./2026-07-18-leaks-corpus-analysis.md) | Empirical analysis of `todie/system_prompts_leaks` (438 prompts, 18 vendors) — seven findings on how real production prompts are structured. |
| [`2026-07-18-hermes-ops-register-casestudy.md`](./2026-07-18-hermes-ops-register-casestudy.md) | The methodology applied to the cerebral-agent (hermes) ops register, including a charter/tool-mismatch finding from the live pod. |

## Source of truth
- **Canonical principles**: `unsigned-paas/docs/specs/agent-prompting-manual.md`. This
corpus corroborates and extends it; it does not supersede it.
- **Leaks corpus**: `todie/system_prompts_leaks` (fork of `asgeirtj/system_prompts_leaks`).
The fork is stale — **sync it from upstream before mining** (the analysis here used current
upstream content as of 2026-07-18).
- **Evals**: the register evaluation protocol lives in `unsigned-paas` `lace/evals/`.