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 dbc-oduffy/coordinator-claude --skill execute-plangit clone --depth 1 https://github.com/dbc-oduffy/coordinator-claudeWrote 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/dbc-oduffy/coordinator-claude/execute-plan)<a href="https://agentmods.dev/skills/dbc-oduffy/coordinator-claude/execute-plan"><img src="https://agentmods.dev/badge/skills/dbc-oduffy/coordinator-claude/execute-plan/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/dbc-oduffy/coordinator-claude/execute-plan"><img src="https://agentmods.dev/badge/skills/dbc-oduffy/coordinator-claude/execute-plan.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 | $0.00015 | $0.06716 |
| Opus 5.5 | $0.00006 | $0.02686 |
| Sonnet 5.5 | $0.00003 | $0.01343 |
| Haiku 4.5 | $0.00002 | $0.00672 |
Grade A, and why
execute-plan 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 yesterday.
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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- yesterday Changed · -43 lines 7d698466da97
- 2d ago Changed d2c7bbef4566
- 3d ago Changed · +7 lines c03125761d1a
- 8d ago Changed · -28 lines 1082ad44b02e
- 11d ago Changed · -15 lines 7592d41b78de
- 16d ago Changed · -134 lines · -2 tokens per session bdf58ff5e025
- 18d ago Changed · +5 lines e6b475d6d5d3
- 19d ago Changed · -2 lines d54d135879ad
- 20d ago Changed · +44 lines c74a9e18d59c
- 22d ago First seen · 495 lines · 17 tokens per session scan A 8c03b05ff6b4
execute-plan is a skill published in the GitHub repository dbc-oduffy/coordinator-claude (6 stars, last pushed 2d ago), with no licence file. It adds 15 tokens to every session and 6,716 once invoked, about $0.0001 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.
Other skills, from other repositories
init
Opt-in onboarding for the mARC agent team. Scaffolds a per-repo team binding so the team graduates from ephemeral session-memory to persistent, versioned config — without ever writing a file silently. Discovers the repo's org/repo/ project at runtime via gh, prefills {{ agentsdir }}/team.toml, and (optionally) a lean…
tech-lead
Channel operator (IRC handle @techlead) for the mARC agent team. Compiles chat demands into ready-to-execute work, records them on the GitHub Project board/Issues, and dispatches to specialists (@dev, @sre, @design, @sec, @rev, @research). Invoke with /tech-lead to turn discussion into tracked, delegated tasks.
upstream
Opt-in upstream contribution workflow for process improvements and field lessons. Scans the consuming repo's local AGENTS.md, {{ agentsdir }}/team.toml, and commit history for emergent rules, sanitizes sensitive client context, formats governed rule origins, and drafts an upstream Pull Request or Issue to the upstream…
security
Security review specialist (IRC handle @sec) dispatched to audit pull requests and branch diffs for security vulnerabilities before code merges.
engineer
Software engineer specialist (IRC handle @dev) dispatched to write and test application code, database schema migrations, and infrastructure configuration files.
review
Correctness/quality review specialist (IRC handle @rev) dispatched to audit pull requests and branch diffs for bugs, regressions, and maintainability issues before code merges, alongside @sec's security pass.