Borrowing it
Nothing to install: this file belongs to swarm-ai-research/swarm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/swarm-ai-research/swarm/main/.claude/commands/audit_docs.mdgit clone --depth 1 https://github.com/swarm-ai-research/swarmWrote 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/commands/swarm-ai-research/swarm/audit_docs)<a href="https://agentmods.dev/commands/swarm-ai-research/swarm/audit_docs"><img src="https://agentmods.dev/badge/commands/swarm-ai-research/swarm/audit_docs/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/commands/swarm-ai-research/swarm/audit_docs"><img src="https://agentmods.dev/badge/commands/swarm-ai-research/swarm/audit_docs.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 | $0.00000 | $0.01776 |
| Opus 5.5 | $0.00000 | $0.00710 |
| Sonnet 5.5 | $0.00000 | $0.00355 |
| Haiku 4.5 | $0.00000 | $0.00178 |
Grade A, and why
audit_docs 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 1mo 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/audit_docs
Audit all project metadata files for stale counts, version mismatches, broken references, and missing entries. Reports discrepancies without auto-fixing.
Use --nav-only to just check mkdocs.yml nav completeness (replaces the former /check_nav command).
Usage
/audit_docs [--nav-only] [--provenance]
Examples:
/audit_docs(full audit)/audit_docs --nav-only(just check mkdocs nav)/audit_docs --provenance(provenance log analysis only)
Argument parsing
--nav-only: Only run Phase 6 (mkdocs nav check) and report. Skip all other phases.--provenance: Analyze.claude/provenance.jsonlfor documentation health trends. Skip all other phases.
--provenance mode
Analyze the full provenance log (.claude/provenance.jsonl) for documentation health trends. Each line is a JSON object with fields: timestamp, branch, files_changed (array), new_files (array, optional), docs_reminders_resolved (int), docs_reminders_unresolved (int).
1. Parse provenance log
Read .claude/provenance.jsonl. If it doesn't exist or is empty, report "No provenance data found" and exit.
2. Compute overall stats
- Total commits tracked: number of entries
- Documentation co-staging rate: For each doc file type (CHANGELOG.md, README.md, AGENTS.md), count how many entries include that file in
files_changed. Report asN/total (%). - Docs reminders issued: sum of
docs_reminders_resolved + docs_reminders_unresolvedacross all entries - Docs reminders resolved: sum of
docs_reminders_resolved - Docs reminders unresolved: sum of
docs_reminders_unresolved
3. Recent trend
Take the last 10 entries (or all if fewer than 10). Compute the same co-staging rate and unresolved count for this window.
4. Files with most unresolved reminders
Group entries by the directory prefix of files in files_changed (e.g. swarm/core/, swarm/agents/, .claude/commands/). For entries with docs_reminders_unresolved > 0, count how many times each directory appears. Report the top 5.
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.
- 1mo ago First seen · 227 lines · 0 tokens per session scan A 45f58ca6188c
audit_docs is a command published in the GitHub repository swarm-ai-research/swarm (48 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,776 tokens. 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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