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 SteveVitali/agent-skills --skill agent-docsgit clone --depth 1 https://github.com/SteveVitali/agent-skillsWrote 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/stevevitali/agent-skills/agent-docs)<a href="https://agentmods.dev/skills/stevevitali/agent-skills/agent-docs"><img src="https://agentmods.dev/badge/skills/stevevitali/agent-skills/agent-docs.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.01791 |
| Opus 5 | $0.00016 | $0.00896 |
| Sonnet 5 | $0.00007 | $0.00358 |
| Haiku 4.5 | $0.00003 | $0.00179 |
Grade A, and why
agent-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 8d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Docs
One workflow with two modes, both converging docs and code onto the same target state: an accurate, AGENTS.md-standard doc hierarchy that an agent can trust cold.
bootstrap— no docs exist yet. Generate them from scratch: reconnaissance → gotcha mining → hierarchy design → generation.refresh— docs exist but may have drifted. Detect → triage → surgical fixes → (optionally) deep semantic verification.
The modes are the same convergence loop entered at different states: a refresh that finds a severely drifted doc regenerates it with bootstrap's machinery; a refresh that finds an uncovered package bootstraps a doc for it; a bootstrap validates its output with refresh's drift detector. Both modes finish through the same shared tail below.
All docs produced in either mode MUST conform to the Doc Authoring Guidelines — read that file before generating or editing any doc.
Phase 0 — Resolve scope and mode
Use the user-provided scope, or default to . (the entire repo). Then run
the drift detector once:
// turbo
bash scripts/check-agent-docs-freshness.sh <scope>
(The script lives in this skill's scripts/ directory; run it from the repo
root. It writes a structured report to /tmp/agent-docs-freshness.json.)
Mode resolution:
| User said | Detector found | Mode |
|---|---|---|
| nothing | docsScanned: 0 |
bootstrap |
| nothing | docs exist | refresh |
bootstrap |
docs exist | Confirm intent. Then: fill gaps only — generate docs for uncovered areas via bootstrap; existing docs are never clobbered, they're refresh candidates. |
refresh |
docsScanned: 0 |
Report "nothing to refresh" and suggest bootstrap. Stop. |
Phase 1 — Execute the mode core
- bootstrap → follow modes/bootstrap.md
(reconnaissance, gotcha & convention discovery, hierarchy design,
generation, optional
--cross-repointegration surface). - refresh → follow modes/refresh.md (triage the
detector report, fix critical/moderate issues, fill coverage gaps, rewrite
severely drifted docs, optional
--deepsemantic verification). The report from Phase 0 is the input — don't re-run the detector to start.
What ships with it
4 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.
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.
- 8d ago First seen · 182 lines · 33 tokens per session scan A b54f1f7fa01a
agent-docs is a skill published in the GitHub repository SteveVitali/agent-skills (9 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 1,791 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 2026-08-31.
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