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.
npx skills add coleam00/ai-content-factory --skill archongit clone --depth 1 https://github.com/coleam00/ai-content-factoryWrote 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/ai-content-factory/archon)<a href="https://agentmods.dev/skills/coleam00/ai-content-factory/archon"><img src="https://agentmods.dev/badge/skills/coleam00/ai-content-factory/archon/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/ai-content-factory/archon"><img src="https://agentmods.dev/badge/skills/coleam00/ai-content-factory/archon.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 | $0.00279 | $0.04062 |
| Opus 5.5 | $0.00112 | $0.01625 |
| Sonnet 5.5 | $0.00056 | $0.00812 |
| Haiku 4.5 | $0.00028 | $0.00406 |
Grade A, and why
archon 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 2mo 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archon CLI Skill
Archon is a remote agentic coding platform that runs AI workflows in isolated git worktrees. This skill teaches you how to run workflows, create new workflows and commands, and manage Archon configuration.
Available Workflows (live)
!archon workflow list 2>&1 || echo "Archon CLI not installed. Read guides/setup.md to set it up."
Routing
Determine the user's intent and dispatch to the appropriate guide:
| Intent | Action |
|---|---|
| Setup / install / "how to use" | Read guides/setup.md — interactive setup wizard |
| Config / settings | Read guides/config.md — interactive config editor |
| Initialize .archon/ in a repo | Read references/repo-init.md |
| Create a workflow | Read references/workflow-dag.md — the complete workflow authoring guide |
| Quick parameter lookup — which field works on which node type | Read references/parameter-matrix.md — master matrix, intent-based lookup, silent-failure catalog |
| Advanced features (hooks/MCP/skills) | Read references/dag-advanced.md |
| Create a command file | Read references/authoring-commands.md |
| Variable substitution reference | Read references/variables.md |
| CLI command reference | Read references/cli-commands.md |
| Run an interactive workflow | Read references/interactive-workflows.md — transparent relay protocol |
| Workflow good practices / anti-patterns | Read references/good-practices.md — read before designing a non-trivial workflow |
| Troubleshoot a failing / stuck workflow | Read references/troubleshooting.md — log locations, common failure modes |
| Run a workflow (default) | Continue with "Running Workflows" below |
If the intent is ambiguous, ask the user to clarify.
Richer Context: archon.diy
The references in this skill are a distilled subset. The full, canonical docs live at archon.diy (Starlight site from packages/docs-web/). If the skill's reference pages don't cover what you need — an edge case, a worked example, a diagram, a deeper section on a feature — fetch the matching page from archon.diy.
What ships with it
20 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.
- examples/command-template.md 1.3 KB
- examples/dag-workflow.yaml 4.3 KB
- guides/cli.md 1.4 KB
- guides/config.md 8.0 KB
- guides/discord.md 1.7 KB
- guides/github.md 5.0 KB
- guides/server.md 2.1 KB
- guides/setup.md 14 KB
- guides/slack.md 1.3 KB
- guides/telegram.md 1.1 KB
- references/authoring-commands.md 6.7 KB
- references/cli-commands.md 12 KB
- references/dag-advanced.md 11 KB
- references/good-practices.md 10 KB
- references/interactive-workflows.md 4.1 KB
- references/parameter-matrix.md 18 KB
- references/repo-init.md 7.4 KB
- references/troubleshooting.md 7.8 KB
- references/variables.md 3.2 KB
- references/workflow-dag.md 28 KB
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.
- 2mo ago First seen · 346 lines · 279 tokens per session scan A 70b4cc7907d4
archon is a skill published in the GitHub repository coleam00/ai-content-factory (32 stars, last pushed 3mo ago), licensed MIT. It adds 279 tokens to every session and 4,062 once invoked, about $0.0011 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 skills, from other repositories
merge-batch
Prepare and merge an owner-selected PR batch with contributor credit and exact-candidate admission. Use for a pasted PR list; combined focused validation is diagnostic, and every actual landing still requires its applicable checks and authorization.
prowler-commit
Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.
gh-auth-isolation
Safely manage multiple GitHub identities (EMU + personal) in agent workflows.
comet-github
A routing guide for Comet-related GitHub work. It directs requests about pull requests, issues, CI failures, ideas, and fixes to the appropriate review or implementation process.
github-skill
Work with GitHub via the gh CLI — clone repositories, create/list/merge pull requests, create/list issues, and run any other gh command (API calls, workflow runs, releases, repo administration). List operations return parsed JSON.
release-helper
Ensures configuration and code changes are released correctly. Use PROACTIVELY whenever you edit config.json, change any setting, or fix a configuration bug in this project, so the change reaches production.