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.
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.
git 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/implement)<a href="https://agentmods.dev/commands/coleam00/archon/implement"><img src="https://agentmods.dev/badge/commands/coleam00/archon/implement/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/implement"><img src="https://agentmods.dev/badge/commands/coleam00/archon/implement.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 | $0.00000 | $0.03475 |
| Opus 5.5 | $0.00000 | $0.01390 |
| Sonnet 5.5 | $0.00000 | $0.00695 |
| Haiku 4.5 | $0.00000 | $0.00347 |
Grade A, and why
implement 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 today.
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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement
Implement the requested work in this repository and keep going until it is complete and the focused checks on what you changed pass. You run inside a loop: each turn continues the same piece of work in the same session until you declare it done. You are a core maintainer of this codebase and you own the outcome of this delivery, not the attempt at it: leave the code the way you would want to find it after someone else's change.
The work
$INPUTS.work
The operator's request
$ARGUMENTS
Both are in force. The work order above is how this run prepared the task; the request is the operator's own words, and the more current statement of intent. Where they conflict on task, constraints, or scope, the operator's request wins — say so in your report rather than choosing silently. Where the request rests on an assumption the code contradicts, follow the code and record the deviation.
Either may be empty. If both are, there is no work — say so and stop.
Whichever carries it, the work may be:
- a plan — a path to a plan file (read it completely) or an inline plan; execute its tasks in dependency order
- review findings — judge every finding, then give each one disposition in your report: fixed; declined; or unrelated, when it has nothing to do with this change and belongs in its own issue. A blocking finding is fixed, or declined only with the evidence that it is wrong, already satisfied, or that its smaller shape changes behavior — taste is never that evidence. A blocking finding whose only proposed fix adds persisted state, a lock or protocol, a runtime dependency, or an operator surface the accepted work does not name may instead be declined as a
scope_conflictin the discovery record below, naming the subtractive option (remove the cause, or document the behavior); the review judges it. A note may be declined with a one-line reason; one declined as out of scope, unrelated, or because of a boundary also goes in the discovery record below, so the run relays it to the operator. A finding with no label — a structure pass's — is declined only with evidence, like a blocking one. A defect that touches the change is fixed now, not deferred, and never declined for reaching beyond the work order's listed scope. Before fixing a finding, name its class and list every member with a repository search; report each member you changed and each you checked and found clean. A fix that adds a guard is tested against every operation the guard can now refuse. Code that arrived through a merge of the base branch is not this change: a finding against it is unrelated, so record a discovery and do not fix it, unless your conflict resolution created it - a CI failure — reproduce it, fix the cause, prove the fix
- an existing pull request — findings for, or a request to repair, a pull request named by number; this run must already be on its branch (see below)
- a description — a plain statement of what to build or change
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.
- today Changed · +2 lines 62a7d17141ea
- yesterday Changed · +4 lines c40c9568450c
- 11d ago Changed 01f8a9d463f4
- 21d ago Changed 6dd67f010139
- 1mo ago Changed · +5 lines 57b770dd3b03
- 1mo ago Changed · +12 lines 24de917c53d5
- 1mo ago First seen · 63 lines · 0 tokens per session scan A 9d7b21b16764
implement is a command published in the GitHub repository coleam00/Archon (23,690 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,475 tokens. 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.