Borrowing it
Nothing to install: this file belongs to lsegal/aviary. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lsegal/aviary/main/.agents/skills/commit/SKILL.mdgit clone --depth 1 https://github.com/lsegal/aviaryWrote 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/lsegal/aviary/commit)<a href="https://agentmods.dev/skills/lsegal/aviary/commit"><img src="https://agentmods.dev/badge/skills/lsegal/aviary/commit/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/lsegal/aviary/commit"><img src="https://agentmods.dev/badge/skills/lsegal/aviary/commit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00035 | $0.00257 |
| Opus 5.5 | $0.00014 | $0.00103 |
| Sonnet 5.5 | $0.00007 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00026 |
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 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.
What it actually says
Group changed files into logical commits by what they changed. Each commit uses a conventional prefix:
bug:— bug fixesfeature:— new featurestest:— test-only changeschore:— maintenance, refactoring, dependencies
Workflow
- Run
git statusandgit diff --statto identify all changed files - Group related changes (e.g., all files for one feature together)
- For each group:
- Stage files:
git add <file1> <file2> - Review staged diff:
git diff --staged --stat - Commit:
git commit -m "feature: add calendar sync endpoint"
- Stage files:
- Keep subject lines under 72 characters; add detail in the commit body if needed
Examples
bug: fix nil pointer in envelope thread lookup
feature: add Drive file search to gogcli skill
test: add e2e tests for calendar event creation
chore: update Go dependencies
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 · 31 lines · 35 tokens per session scan A f6c24377be87
commit is a skill published in the GitHub repository lsegal/aviary (12 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 257 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 2026-08-31.
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Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination.
github-pr-workflow
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
github-automation
GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.
git-commit
Stage, write, and structure git commits and pull requests cleanly. Read this before committing — for conventional-commit message format, when to split commits, and how to open a PR with the gh CLI.
ratchet-files
Ratchet source file size so every file stays small enough for an agent to read whole: find every file over a token budget, split oversized files by concept, and set up the pre-commit ratchet that stops them from growing. Use when a commit is blocked because a file is over the size budget, when asked to find or split…
handoff-spec
Hand a spec that is mid-implementation to another machine or another agent.