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 agentmods add commands/marmot-protocol/agent-config/commit_messagegit clone --depth 1 https://github.com/marmot-protocol/agent-configWhat 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 | $0.00008 | $0.00301 |
| Opus 5 | $0.00004 | $0.00151 |
| Sonnet 5 | $0.00002 | $0.00060 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
commit_message 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.
What it actually says
Commit Command
You are drafting a commit message for the currently staged git changes.
Instructions
- First, use the
commit_messagetool to analyze staged changes - Review the suggested commit type, scope, and subject
- If no changes are staged, inform the user and stage all changes
- Present a well-formatted conventional commit message
Commit Format
<type>(<scope>): <subject>
<body>
<footer>
Types
- feat: New feature
- fix: Bug fix
- docs: Documentation changes
- style: Code style (formatting, semicolons)
- refactor: Code restructuring without behavior change
- test: Adding or updating tests
- chore: Maintenance tasks
- perf: Performance improvements
Guidelines
- Subject line: 50 characters max, imperative mood ("add" not "added")
- Body: Explain what and why, not how
- Reference issues with "Fixes #123" or "Closes #456"
Output
Present the commit message in a code block that can be copied directly:
feat(auth): add password reset functionality
Implement password reset flow with email verification.
Users can now request a reset link that expires after 24 hours.
Closes #42
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 First seen · 54 lines · 8 tokens per session scan A 007dba8d63bf
commit_message is a command published in the GitHub repository marmot-protocol/agent-config (2 stars, last pushed 7mo ago), licensed MIT. It adds 8 tokens to every session and 301 once invoked, about $0.0000 per session on Opus 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.