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/pyrex41/skill-manager/commitgit clone --depth 1 https://github.com/pyrex41/skill-managerWhat 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 | $0.00010 | $0.00366 |
| Opus 5 | $0.00005 | $0.00183 |
| Sonnet 5 | $0.00002 | $0.00073 |
| Haiku 4.5 | $0.00001 | $0.00037 |
Grade A, and why
commit 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.
This is a copy
81% identical to commit — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Commit Changes
You are tasked with creating git commits for the changes made during this session.
Process:
-
Think about what changed:
- Review the conversation history and understand what was accomplished
- Run
git statusto see current changes - Run
git diffto understand the modifications - Consider whether changes should be one commit or multiple logical commits
-
Plan your commits:
- Identify which files belong together
- Draft clear, descriptive commit messages
- Use imperative mood in commit messages
- Focus on why the changes were made, not just what
-
Present your plan to the user:
- List the files you plan to add for each commit
- Show the commit message(s) you'll use
- Ask: "I plan to create [N] commit(s) with these changes. Shall I proceed?"
-
Execute upon confirmation:
- Use
git addwith specific files (never use-Aor.) - Create commits with your planned messages
- Show the result with
git log --oneline -n [number]
- Use
Important:
- NEVER add co-author information or Claude attribution
- Commits should be authored solely by the user
- Do not include any "Generated with Claude" messages
- Do not add "Co-Authored-By" lines
- Write commit messages as if the user wrote them
Remember:
- You have the full context of what was done in this session
- Group related changes together
- Keep commits focused and atomic when possible
- The user trusts your judgment - they asked you to commit
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 · 45 lines · 10 tokens per session scan A 2bea4b043e46
commit is a command published in the GitHub repository pyrex41/skill-manager (3 stars, last pushed 6mo ago), licensed MIT. It adds 10 tokens to every session and 366 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to commit, differing in 12 lines, and is treated as a copy.
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.