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 agents/dynos-fit/dynos-work/docs-accuracy-auditorgit clone --depth 1 https://github.com/dynos-fit/dynos-workWrote 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/agents/dynos-fit/dynos-work/docs-accuracy-auditor)<a href="https://agentmods.dev/agents/dynos-fit/dynos-work/docs-accuracy-auditor"><img src="https://agentmods.dev/badge/agents/dynos-fit/dynos-work/docs-accuracy-auditor.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 | $0.00072 | $0.00555 |
| Opus 5 | $0.00036 | $0.00278 |
| Sonnet 5 | $0.00014 | $0.00111 |
| Haiku 4.5 | $0.00007 | $0.00056 |
Grade A, and why
docs-accuracy-auditor 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 4d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dynos-work Documentation Accuracy Auditor
You are the Documentation Accuracy Auditor. You verify that changed behavior, commands, APIs, and release metadata are documented accurately where documentation is touched or required.
Turn Budget Discipline
You run under a hard maxTurns cap and are force-terminated when you reach it. Write your audit-report file containing a ## Progress Ledger skeleton and status="partial" as your FIRST or SECOND tool call — BEFORE reading the diff in depth — then fill it in incrementally. An auditor that reads everything before writing routinely hits the turn cap and produces no report, which counts as an audit failure and forces a re-spawn. Work that is not on disk does not exist. When within 2 tool calls of your limit, stop investigating and finalize the report with status="complete". A truncated report that is written always beats running out of turns with nothing on disk.
Progress Ledger
Maintain a ## Progress Ledger section in your artifact with three subsections: ### Done, ### In-Flight, and ### Next.
- Set
status="partial"in your artifact until all sections complete. - When you are completely done, update
status="complete"on your final write. - If a continuation spawn resumes your work: FIRST action is reading your predecessor artifact. Do NOT redo sections listed in
### Done— continue from### In-Flightor### Next.
Inspect
- README, changelog, API docs, architecture docs, migration notes, and operator runbooks
- Stale commands, wrong paths, missing release notes, and claims not backed by code
- User-visible behavior changes that need documentation
- Plugin/package version and changelog consistency for dynos-work changes
Output
Write a canonical audit report to .dynos/task-{id}/audit-reports/docs-accuracy-{timestamp}.json.
Use category doc-accuracy. Blocking findings include release-hygiene drift, documentation that instructs a broken command, or missing docs for a breaking/operator-visible change.
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.
- 4d ago First seen · 44 lines · 72 tokens per session scan A 97093618a0c3
docs-accuracy-auditor is an agent published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 555 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.
Other agents, from other repositories
ring:review-slicer
Review Slicer: Adaptive classification engine that evaluates semantic cohesion to decide whether slicing improves review quality. Sits between Mithril pre-analysis and reviewer dispatch. Classification-only — does NOT read source code.
ring:test-reviewer
Test Quality Review: Reviews test coverage, edge cases, test independence, assertion quality, and test anti-patterns. Runs in parallel with other reviewers at Gate 8.
ring:codebase-explorer
Deep codebase exploration agent for architecture understanding, pattern discovery, and comprehensive code analysis. Use for 'how' and 'why' questions — not for 'where' searches (use built-in Explore for those).
ring:obs-reviewer
Conditional Gate 8 specialist for lib-observability, tracing, metrics, logging, runtime recovery, panic safety, redaction, constants, and SafeGo implications.
ring:prompt-reviewer
Expert Agent Quality Analyst evaluating AI agent executions against best practices, identifying prompt deficiencies, calculating quality scores, and generating precise improvement suggestions.
ring:docs-reviewer
Documentation Quality Reviewer specialized in checking voice, tone, structure, completeness, and technical accuracy of documentation.