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 skills add myths-labs/muse --skill doc-updatergit clone --depth 1 https://github.com/myths-labs/museWrote 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/myths-labs/muse/doc-updater)<a href="https://agentmods.dev/skills/myths-labs/muse/doc-updater"><img src="https://agentmods.dev/badge/skills/myths-labs/muse/doc-updater/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/myths-labs/muse/doc-updater"><img src="https://agentmods.dev/badge/skills/myths-labs/muse/doc-updater.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00023 | $0.00221 |
| Opus 5 | $0.00012 | $0.00111 |
| Sonnet 5 | $0.00005 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
doc-updater 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 10d 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.
What it actually says
Doc Updater Skill
This skill adopts the persona of a documentation specialist to ensure docs match code reality.
Usage
Invoke helps to regenerate codemaps or update PRD.md, CLAUDE.md, or README.md after significant code changes.
Workflow
- Analyze: Scan file structure (
list_dir) and read key entries (view_file). - Codemap: Generate mental or physical map of modules.
- Update: Reword documentation to reflect actual implementation.
Key Targets (Examples)
README.md: Ensure features match implementation.docs/deployment.md: Keep deployment steps current.package.json: Dependency versions.
Documentation Best Practices
- Single Source of Truth: Code is truth. Docs follow code.
- Freshness: Include "Last Updated" dates.
- Actionable: Commands must run.
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.
- 10d ago First seen · 27 lines · 23 tokens per session scan A fa678b4a497a
doc-updater is a skill published in the GitHub repository myths-labs/muse (32 stars, last pushed 3d ago), licensed MIT. It adds 23 tokens to every session and 221 once invoked, about $0.0001 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 2026-08-30.
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