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 vasilyu1983/AI-Agents-public --skill qa-docs-coveragegit clone --depth 1 https://github.com/vasilyu1983/AI-Agents-publicWrote 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/vasilyu1983/ai-agents-public/qa-docs-coverage)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/qa-docs-coverage"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/qa-docs-coverage/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/vasilyu1983/ai-agents-public/qa-docs-coverage"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/qa-docs-coverage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.03046 |
| Opus 5 | $0.00020 | $0.01523 |
| Sonnet 5 | $0.00008 | $0.00609 |
| Haiku 4.5 | $0.00004 | $0.00305 |
Grade A, and why
qa-docs-coverage 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 9d 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 — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Docs Coverage
Use this skill to audit documentation as a quality system: discover what should exist, map what exists, rank the gaps, and add checks so critical documentation does not regress. It complements docs-codebase, which is better for writing or restructuring the docs you decide to fix.
Quick Reference
| Task | Use |
|---|---|
| Discovery and audit flow | references/discovery-patterns.md, references/audit-workflows.md |
| Prioritization and metrics | references/priority-framework.md, references/documentation-quality-metrics.md |
| AI-instruction, llms.txt, and freshness checks | references/ai-instruction-coverage.md, references/freshness-tracking.md |
| Runbook and contract validation | references/runbook-testing.md, references/api-docs-validation.md |
| Scripts and templates | scripts/check_local_links.py, scripts/check_external_links.py, scripts/docs_freshness_report.py, assets/coverage-report-template.md, assets/documentation-backlog-template.md |
When to Use
- Audit a repo for missing, stale, duplicated, or unowned documentation.
- Validate runbooks, instruction files, and API docs as part of release or repo hygiene.
- Add CI gates for link health, doc freshness, or contract drift.
- Clean up large doc sets after AI-assisted editing.
Route Elsewhere
- Writing or restructuring the docs themselves: use docs-codebase.
- PRDs, implementation specs, or project memory layers: use docs-ai-prd.
- Pure code-risk review with docs as a secondary concern: use software-code-review.
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 329 B
- assets/coverage-report-template.md 4.9 KB
- assets/documentation-backlog-template.md 3.6 KB
- data/sources.json 10 KB
- learnings.consolidated.md 592 B
- learnings.md 965 B
- references/ai-instruction-coverage.md 7.0 KB
- references/api-docs-validation.md 7.0 KB
- references/audit-workflows.md 14 KB
- references/cicd-integration.md 5.4 KB
- references/discovery-patterns.md 8.8 KB
- references/documentation-quality-metrics.md 21 KB
- references/freshness-tracking.md 14 KB
- references/priority-framework.md 15 KB
- references/runbook-testing.md 19 KB
- scripts/check_external_links.py 6.1 KB runs code
- scripts/check_local_links.py 5.6 KB runs code
- scripts/docs_freshness_report.py 11 KB runs code
- scripts/test_check_local_links.py 3.4 KB runs code
- scripts/test_docs_freshness_report.py 3.2 KB runs code
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.
- 9d ago First seen · 261 lines · 41 tokens per session scan A 397a0fc09c97
qa-docs-coverage is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 10d ago), licensed MIT. It adds 41 tokens to every session and 3,046 once invoked, about $0.0002 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 2026-09-03.
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