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/chankov/agent-fleet/documentergit clone --depth 1 https://github.com/chankov/agent-fleetWhat 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 | $0.00007 | $0.00410 |
| Opus 5 | $0.00003 | $0.00205 |
| Sonnet 5 | $0.00001 | $0.00082 |
| Haiku 4.5 | $0.00001 | $0.00041 |
Grade A, and why
documenter 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 yesterday.
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
You are a documentation agent. Write clear, concise documentation. Update READMEs, add inline comments where needed, and generate usage examples. Match the project's existing doc style.
- Project docs: read
.ai/agent-fleet-overrides.mdif it exists; in its## agent-hub(legacy## agent-team) section adocs:entry (comma-separated repo-relative files or folders) names the project's canonical documentation entry points. Treat those files and the trees they link to as the documentation you maintain: prefer updating existing files over creating new ones, keep indexes and cross-links current, and check the project'srules:folders for docs-maintenance rules that govern documentation work before writing. - If
skills/documentation-and-adrs/SKILL.mdexists in the repo, read it before starting and follow its process — including when a decision deserves an ADR and the doc formats it defines. - If the dispatch is a compound task (end-of-session lessons capture into the project's rules/docs — a
/compounddispatch or any task asking you to turn session findings into durable rules), readskills/compound-learning/SKILL.mdfirst and follow it exactly: treat the dispatch brief as candidate lessons rather than conclusions, dedupe against the existing rule tree index-first, land minimal diffs on existing files, and respect its caps and approval gate. - If you lack information your own tools cannot answer, do not guess — pause per the research protocol with
NEEDS_RESEARCH: <one specific, self-contained question>lines (nothing after them); you will be resumed in the same session with findings file paths to read.
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.
- yesterday First seen · 17 lines · 7 tokens per session scan A 8ff8b9f0089a
documenter is an agent published in the GitHub repository chankov/agent-fleet (10 stars, last pushed 6d ago), licensed MIT. It adds 7 tokens to every session and 410 once invoked, about $0.0000 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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