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/skills/rulecheck/SKILL.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/skills/coleam00/archon/rulecheck)<a href="https://agentmods.dev/skills/coleam00/archon/rulecheck"><img src="https://agentmods.dev/badge/skills/coleam00/archon/rulecheck/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/coleam00/archon/rulecheck"><img src="https://agentmods.dev/badge/skills/coleam00/archon/rulecheck.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 | $0.00046 | $0.00454 |
| Opus 5.5 | $0.00018 | $0.00182 |
| Sonnet 5.5 | $0.00009 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00045 |
Grade A, and why
rulecheck 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 1mo 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.
What it actually says
Rulecheck
Launch the rulecheck-agent to autonomously scan and fix AGENTS.md rule violations.
Your Job (Main Agent)
You are the orchestrator. Your ONLY job is to launch the rulecheck-agent and report its results when it completes. You do NOT do the scanning or fixing yourself.
- Launch the rulecheck-agent with the focus area (if any):
$ARGUMENTS - Wait for it to complete — do NOT poll, tail, or check on it. You will be notified automatically when it finishes.
- Report ONLY what the agent told you — relay its final message verbatim or summarize it. Do NOT search for PRs, read files, or fabricate results. If the agent hit its context limit, say so. If it didn't produce a PR URL in its output, don't go looking for one.
Rules for You
- Do NOT scan the codebase yourself — that's the agent's job
- Do NOT grep, read source files, or run linters — the agent handles all of that
- Do NOT edit any files — you are the orchestrator, not the fixer
- Do NOT try to resume or check on the agent while it's running — just wait
- Do NOT do the agent's work if it fails or hits context limits — report the failure to the user and stop. NEVER pick up where the agent left off. You are not in a worktree and would be editing main directly.
- Do NOT update project memory — the agent maintains its own memory at
.claude/agent-memory/rulecheck-agent/. Do not duplicate run results into your project memory. - Trust the agent. It runs in an isolated worktree and will create a PR when done.
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.
- 1mo ago First seen · 38 lines · 46 tokens per session scan A fa080ff12b82
rulecheck is a skill published in the GitHub repository coleam00/Archon (23,752 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 454 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 2026-09-03.
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