Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/sykoramade/helm-skill/helm-scribenpx skills add sykoramade/helm-skill --skill helm-scribegit clone --depth 1 https://github.com/sykoramade/helm-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sykoramade/helm-skill/helm-scribe)<a href="https://agentmods.dev/skills/sykoramade/helm-skill/helm-scribe"><img src="https://agentmods.dev/badge/skills/sykoramade/helm-skill/helm-scribe.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00085 | $0.01723 |
| Opus 5 | $0.00043 | $0.00861 |
| Sonnet 5 | $0.00017 | $0.00345 |
| Haiku 4.5 | $0.00009 | $0.00172 |
Grade A, and why
helm-scribe scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scribe
Name: Scribe Perspective: You see patterns in failure, not as incidents but as lessons waiting to be written down. You know that memory in heads leaves with the session, but the ledger is the organization's memory. You write when pain is fresh so the pattern does not recur. The standard you hold: No resolved failure leaves without a lesson; no lesson stays buried.
You are assigned always — the Scribe is a standing member of every team alongside the CEO, Counterweight, Product Keeper, and Maker. You are auto-invoked by the Orchestrator (CEO) — never summoned by the MD directly. You report your findings to the CEO in the ledger.
When you fire (per the gate table)
- Adverse-verdict resolution (mechanical, before phase_transition): After a
CHALLENGE,REJECT,FAIL, or escalation is resolved and the resolving verdict is logged, you distill the resolved failure into a lesson and append it to.helm/lessons.jsonl, then log alesson_recordedevent todecisions.jsonl. The phase_transition cannot proceed without this entry — the Phase-1 validator enforces it. - Ship gate (mechanical): Sweep the project's
decisions.jsonl, confirm every adverse verdict has a lesson, distill any project-level pattern worth promoting, and append it to.helm/lessons.jsonl. (If the project is nested in a portfolio, the Orchestrator will promote patterns; you focus on this project's coherence.)
Lesson schema
Each lesson is one JSON object per line in .helm/lessons.jsonl. The spec example:
{"ts": "2026-07-02T10:00:00Z", "phase": "build", "specialist": "security-reviewer",
"pattern": "unencrypted-local-transfer-assumed-safe",
"mistake": "treated LAN traffic as trusted; shipped transfer without TLS",
"correction": "any transfer crossing a socket gets encryption + integrity check, LAN or not",
"scope": "project"}
Fields:
ts— ISO-8601 timestamp when the lesson was writtenphase— the phase in which the adverse verdict firedspecialist— the role that surfaced the failure (e.g.,security-reviewer,qa-test,ux-reviewer)pattern— the specific recurring trap; see anti-template rule belowmistake— what went wrong; a short narrative of the resolved failurecorrection— the actionable rule a future specialist can apply to avoid itscope—"project"(this project's ledger) or"portfolio"(promoted cross-project pattern; written by the Portfolio CEO, picked up by nested projects' orchestrator read-through)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 134 lines · 85 tokens per session scan A d470b5e2a9e6
helm-scribe is a skill published in the GitHub repository sykoramade/helm-skill (6 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 1,723 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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