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/commands/validate.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/commands/coleam00/archon/validate)<a href="https://agentmods.dev/commands/coleam00/archon/validate"><img src="https://agentmods.dev/badge/commands/coleam00/archon/validate/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/commands/coleam00/archon/validate"><img src="https://agentmods.dev/badge/commands/coleam00/archon/validate.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 | $0.00010 | $0.00907 |
| Opus 5.5 | $0.00004 | $0.00363 |
| Sonnet 5.5 | $0.00002 | $0.00181 |
| Haiku 4.5 | $0.00001 | $0.00091 |
Grade A, and why
validate 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 6d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validate: Comprehensive Archon Validation
Objective
Run all four validation levels for the Archon monorepo and report pass/fail with actionable diagnostics. All four must pass before a PR can be created.
Level 1: Type Checking
bun run type-check
Runs the workspace and script type-checks defined by the root package.json. Use .archon/architecture.md for package ownership and boundaries.
What to look for:
- Incorrect interface implementations (
IPlatformAdapter,IAgentProvider, etc.) - Import type errors (use
import typefor type-only imports) - Package boundary violations (e.g.,
@archon/workflowsimporting from@archon/core)
Level 2: Linting
bun run lint
Biome runs with warnings as errors, after the test-cleanup drift and workflow persistence checks. Any diagnostic is a failure.
What to look for:
noExplicitAnyviolations — fix the type, don't suppress- Non-null assertions or empty blocks in source files
- Restricted imports (provider admission, the console's store)
To auto-fix safe lint issues:
bun run lint:fix
Level 3: Biome Format Check
bun run format:check
Checks files included by the formatter configuration in biome.jsonc.
What to look for:
- Inconsistent indentation (2 spaces)
- Missing/extra semicolons
- Quote style (single quotes)
- Trailing whitespace, line endings
To auto-fix formatting:
bun run format
Level 4: Tests
bun run test
This runs bun --filter '*' test for per-package isolation. Never run bun test from the
repo root — it causes ~135 mock pollution failures due to Bun's global mock.module() cache.
Package test isolation notes:
@archon/core— 7 separatebun testbatches (mock.module pollution prevention)@archon/workflows— 5 batches@archon/adapters— 3 batches@archon/isolation— 3 batches
What to look for:
- Failing unit tests (fix root cause, not the test assertion)
- Flaky tests (timing/network dependencies — add proper mocking)
- Missing test coverage for new code
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.
- 6d ago Changed · +2 lines 3b29b3df2bd5
- 7d ago Changed · -1 lines e748d1d827c1
- 9d ago Changed 551a2a616c2a
- 19d ago Changed f92cb7888269
- 27d ago Changed · +107 lines · +10 tokens per session 20170d6aced3
- 28d ago Changed 6f689473aa98
- 1mo ago Changed · +2 lines 080d1b306d7f
- 1mo ago First seen · 41 lines · 0 tokens per session scan A 4e8e13b00ebe
validate is a command published in the GitHub repository coleam00/Archon (23,752 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 907 once invoked, about $0.0000 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.
Other commands, from other repositories
fix-issues
Diagnose, reproduce, then fix reproducible open GitHub issues in parallel: one clean worktree/issue; symlink build artifacts to avoid rebuilds.
review-prs
Parallel PR triage: decide merge-worthiness, prepare rebased worktrees, fix blockers, return them for human merge.
triage
Classify/label newly opened GitHub issues missing labels.
release
Release all packages at specified version.
cleanup
Autonomous cleanup-loop iteration: discover ONE target → complete execution → verify → report. Runs stateless: derive from current tree; assume prior runs left it consistent.
hatch3r-workflow
Guided development lifecycle with 4 phases (Analyze, Plan, Implement, Review) and scale-adaptive Quick Mode for small tasks; --plan-file executes an approved plan document without re-deriving it.