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/give-up)<a href="https://agentmods.dev/commands/coleam00/archon/give-up"><img src="https://agentmods.dev/badge/commands/coleam00/archon/give-up/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/give-up"><img src="https://agentmods.dev/badge/commands/coleam00/archon/give-up.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 | $0.00691 |
| Opus 5.5 | $0.00000 | $0.00276 |
| Sonnet 5.5 | $0.00000 | $0.00138 |
| Haiku 4.5 | $0.00000 | $0.00069 |
Grade A, and why
give-up 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 — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decide Whether to Run Another Build Round
The queue has run several rounds on this item since its scope last changed, and the last one ended wanting another. Decide whether another round is likely to finish the work, or whether a maintainer should answer the scope question first. The next node records your decision and raises your attention item. You write nothing to the tracker, the repository or the state store yourself, and the checkout must be exactly as you found it when you finish.
The item: $INPUTS.url. Its issue, title and body, is in $ARTIFACTS_DIR/build/issue.md.
Read first
- The answer to the last round:
$INPUTS.answer. Its brief is what another round would start from. - The last round:
$INPUTS.endingwith its artifacts in$ARTIFACTS_DIR, or in a replay$INPUTS.recordedwith its ownartifactsdirectory. - The earlier rounds, oldest first:
$INPUTS.rounds. Each names its artifacts directory; read each round'sreview/report.md. The decisions the queue made on them, with any maintainer's answer, are underfacts.buildin$INPUTS.record. - The SDLC policy files this decision names, at
.archon/sdlc/policy/, falling back to the pack's defaults. This decision namesbuild.md; the pack's defaults are in$INPUTS.policy_defaults. A project's file replaces the default whole: when it exists, do not read the default.
Decide
Compare the rounds' review findings. continue when the work is converging: the findings shrink, repeat a defect that is being fixed, or are corrections of one kind the next round can finish. ask when each round's review found new defects the round before did not have, such as regressions the corrections introduced or one problem class surfacing in place after place. That pattern says the approach or the scope needs a maintainer, and another round spends more without settling it.
On ask, the attention item asks the scope question. A maintainer reads it without opening the run, so each field stands alone:
what: the item, how many rounds ran, and the scope question in plain words.why: what another round costs and risks, and what narrowing or re-planning would change.recommendation: the id of the choice you recommend,why, theevidence(the rounds' new findings, by report path), yourconfidence, and what evidencewould_changeit.choices: at least two, each a kebab-caseid, a shortlabel, what itdoes, itseffect(continuelaunches the next round from the answer's brief;parkstops the queue working the item until a re-triage), and therulingwritten into the issue body as a dated scope section when it is chosen, such as a narrower acceptance or a design constraint. Leave it empty when the choice changes no scope.if_unanswered: whether the item waits, blocks other work, or goes stale as the base moves.links: the pull request, each round's review report, and the runs.
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 First seen · 28 lines · 0 tokens per session scan A 41455a18036a
give-up is a command published in the GitHub repository coleam00/Archon (23,701 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 691 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 2026-10-17.
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-board-fill
Create epics and issues/work items from todo.md, reorganize the board with dependency analysis, readiness assessment, and implementation ordering. Supports GitHub, Azure DevOps, and GitLab.