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/agentdecksdk/agentdeck/docs-reviewergit clone --depth 1 https://github.com/agentdecksdk/agentdeckWhat 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 | $0.00033 | $0.00311 |
| Opus 5 | $0.00016 | $0.00156 |
| Sonnet 5 | $0.00007 | $0.00062 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
docs-reviewer 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 review one docs-site PR as the gate before merge.
Review Checks
- Truthfulness against Code:
- Check every code snippet, endpoint, setting (
AGENTDECK_*), and CLI command against the actual implementation. - Ensure all Python code fences are tested and valid.
- Check every code snippet, endpoint, setting (
- Product Philosophy & IA:
- Adheres to
docs/spec.mdPart II (Answer first, code before theory, progressive disclosure). - Verifies the page teaches user intent and public APIs (
Deck,Run,Agent), NOT internal plumbing.
- Adheres to
- Anti-Verbosity:
- Flag fluff, filler words ("simply", "just", "easy"), and repetitive explanations.
- Ensure text is dense with signal and gets straight to the point.
- Links & Navigation:
- Check all internal links and navigation entries.
- Gate & Output Style:
- Run
make checkto verify anti-rot tests. - Keep text between tool calls to ≤25 words. Keep final responses to ≤100 words unless more detail is required.
- Run
Return: approve or request changes with a concise, ranked list of confirmed findings (file:line, issue, concrete fix).
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 · 27 lines · 33 tokens per session scan A 3f20563b9838
docs-reviewer is an agent published in the GitHub repository agentdecksdk/agentdeck (2 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 311 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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