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 skills/sequenzia/agent-alchemy/git-commitnpx skills add sequenzia/agent-alchemy --skill git-commitgit clone --depth 1 https://github.com/sequenzia/agent-alchemyWhat 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 | $0.00037 | $0.00715 |
| Opus 5 | $0.00018 | $0.00358 |
| Sonnet 5 | $0.00007 | $0.00143 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
git-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 2d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Git Commit
Create a commit with a conventional commit message based on staged changes. Automatically stages all changes and analyzes the diff to generate an appropriate commit message.
Workflow
Execute these steps in order.
Step 1: Check Repository State
Check for changes to commit:
git status --porcelain
- If output is empty, report: "Nothing to commit. Working directory is clean." and stop.
- If changes exist, continue to Step 2.
Step 2: Stage All Changes
Stage all changes including untracked files:
git add .
Report: "Staged all changes."
Step 3: Analyze Changes
View the staged diff to understand what changed:
git diff --cached --stat
git diff --cached
Analyze the diff to determine:
- The type of change (feat, fix, docs, refactor, etc.)
- The scope (optional, based on affected files/modules)
- A concise description of what changed
Step 4: Construct Commit Message
Build a conventional commit message following this format:
<type>(<optional-scope>): <description>
[optional body]
Types:
feat- New featurefix- Bug fixdocs- Documentation onlystyle- Formatting, no code changerefactor- Code restructuring without behavior changetest- Adding or updating testschore- Maintenance tasksbuild- Build system or dependenciesci- CI configurationperf- Performance improvement
Rules:
- Use imperative mood ("add" not "added")
- Use lowercase
- No trailing period
- Keep description under 72 characters
- Add a body only for complex changes or breaking changes
- Do NOT add co-author, attribution, or "Generated with" lines
Step 5: Create Commit
Create the commit using a heredoc for proper formatting:
git commit -m "$(cat <<'EOF'
<commit message here>
EOF
)"
Step 6: Handle Result
On success:
- Report the commit hash: "Committed: {short_hash} - {message}"
On pre-commit hook failure:
- Report: "Pre-commit hook failed. The commit was NOT created."
- Explain what the hook reported
- Instruct: "Fix the issues above and run the commit command again. Do NOT use --amend as that would modify the previous 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.
- 2d ago First seen · 132 lines · 37 tokens per session scan A 20ea8414d7a5
git-commit is a skill published in the GitHub repository sequenzia/agent-alchemy (43 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 715 once invoked, about $0.0002 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 2026-08-30.
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