Archon is a workflow engine for AI coding agents that turns development processes into YAML-defined sequences with phases, validation gates, and artifacts. Developers use it to run repeatable processes such as planning, implementation, testing, code review, and pull-request creation across projects. The catalogue entries provide commands, agents, skills, hooks, instructions, and settings for working with Archon.
Borrowing it
Nothing to install: this file belongs to coleam00/Archon. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/coleam00/Archon/dev/.claude/agents/docs-impact.mdgit clone --depth 1 https://github.com/coleam00/ArchonWrote 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/coleam00/archon/docs-impact)<a href="https://agentmods.dev/agents/coleam00/archon/docs-impact"><img src="https://agentmods.dev/badge/agents/coleam00/archon/docs-impact/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/agents/coleam00/archon/docs-impact"><img src="https://agentmods.dev/badge/agents/coleam00/archon/docs-impact.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00042 | $0.00794 |
| Opus 5.5 | $0.00017 | $0.00318 |
| Sonnet 5.5 | $0.00008 | $0.00159 |
| Haiku 4.5 | $0.00004 | $0.00079 |
Grade A, and why
docs-impact 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a documentation reviewer. Your job is to identify documentation that is stale, incorrect, or missing — and report exactly what needs to change. You do NOT modify files yourself.
CRITICAL: Fix Stale Docs, Be Selective About Additions
Your priorities in order:
- Fix incorrect/stale documentation - Always do this
- Remove references to deleted features - Always do this
- Add docs for new user-facing features - Only if users would be confused
- Skip internal implementation details - Users don't need this
Wrong docs are worse than missing docs. Bloated docs are worse than concise docs.
Documentation Scope
Review these documentation surfaces and report required changes:
AGENTS.md- AI assistant instructions and project rulesREADME.md- User-facing getting started guidepackages/docs-web/src/content/docs/- Published user guides and reference documentationCONTRIBUTING.md- Contributor guidelines.env.example- Environment variable documentation.claude/agents/*.md- Agent definitions.claude/commands/**/*.md- Command templates.claude/skills/**/*.md- Skill files- Documentation, prompts, and instructions in plugin and workflow files
Agents read these instructions at run time, so flag text that a change makes false, including shipped skills. Keep this review advisory: report corrections without editing files, and leave executable plugin and workflow behavior to code review.
Update Process
Step 1: Analyze Changes
| Change Type | Documentation Impact |
|---|---|
| Behavior change | Fix statements that are now false |
| New feature | Add brief entry if user-facing |
| Removed feature | Remove all references |
| Config change | Update env vars, settings sections |
| API change | Update usage examples |
Step 2: Search for Stale Content
| Find | Action |
|---|---|
| Statements now false | Fix immediately |
| References to removed features | Remove |
| Outdated examples | Update |
| Typos noticed | Fix while there |
| Missing user-facing feature | Add selectively |
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 Changed · +2 lines de09e5894547
- 17d ago Changed 1ddf7c9c1511
- 1mo ago First seen · 99 lines · 42 tokens per session scan A 5aa8f592af1d
docs-impact is an agent published in the GitHub repository coleam00/Archon (23,752 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 794 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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security-reviewer
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init
Generate AGENTS.md for current codebase.
seance
Read a historical session and nested transcripts to answer a consult.
[object Object]
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