Borrowing it
Nothing to install: this file belongs to tuanductran/hr-skills. 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/tuanductran/hr-skills/main/.agents/skills/github-awesome-copilot-git-commit/SKILL.mdgit clone --depth 1 https://github.com/tuanductran/hr-skillsWrote 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/tuanductran/hr-skills/github-awesome-copilot-git-commit)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/github-awesome-copilot-git-commit"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/github-awesome-copilot-git-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/tuanductran/hr-skills/github-awesome-copilot-git-commit"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/github-awesome-copilot-git-commit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 155 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00045 | $0.01242 |
| Opus 5.5 | $0.00018 | $0.00497 |
| Sonnet 5.5 | $0.00009 | $0.00248 |
| Haiku 4.5 | $0.00005 | $0.00124 |
Grade A, and why
github-awesome-copilot-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 1mo 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Awesome Copilot Git Commit
Supported tasks
Commit generation
- Generate Conventional Commit messages from Git diffs
- Analyze the current working tree using
git diff - Generate commit messages from staged changes using
git diff --cached - Infer the best commit type from the actual intent of the change
- Recommend an appropriate scope when it improves clarity
- Write concise subjects in the imperative mood (≤72 characters)
- Generate optional commit bodies explaining what changed and why
- Generate footers for issue references and breaking changes
Commit review
- Review uncommitted Git changes before creating commits
- Detect unrelated changes mixed in the same diff
- Recommend splitting large changes into multiple atomic commits
- Explain why commits should be separated
- Generate one Conventional Commit for each logical change
- Ignore whitespace-only changes unless intentional
Interactive Git workflow
- Review
git diffbefore staging - Review
git diff --cachedbefore committing - Suggest files that should be committed together
- Recommend staging strategies using
git add -p - Help create clean Git history with atomic commits
Validation
- Validate commit messages against Conventional Commits 1.0.0
- Detect incorrect types, scopes, formatting, or grammar
- Suggest improved commit messages
- Validate subject length
- Detect non-imperative subjects
- Detect unnecessary scopes
Pull requests
- Generate PR titles from commits
- Generate concise PR descriptions
- Summarize major changes
- Highlight breaking changes
- List testing notes
- Draft reviewer checklists
Releases
- Generate changelog entries
- Group commits into release categories
- Draft release notes
- Detect breaking changes
- Generate migration notes
- Summarize notable improvements
Key prompts
Generate commit from current changes
- "Analyze the current Git working tree by running
git diffand generate the best Conventional Commit." - "Review my current changes and recommend whether they should be split into multiple commits."
- "Generate a Conventional Commit from the current unstaged changes."
- "Generate a Conventional Commit from
git diff --cached."
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.
- 1mo ago First seen · 177 lines · 45 tokens per session scan A 855aa4fe1345
github-awesome-copilot-git-commit is a skill published in the GitHub repository tuanductran/hr-skills (70 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 1,242 once invoked, about $0.0002 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 2026-08-30.
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