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/hg-pyun/claude-code-marketplace/git-commitnpx skills add hg-pyun/claude-code-marketplace --skill git-commitgit clone --depth 1 https://github.com/hg-pyun/claude-code-marketplaceWhat 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 | $0.00183 | $0.01675 |
| Opus 5 | $0.00092 | $0.00838 |
| Sonnet 5 | $0.00037 | $0.00335 |
| Haiku 4.5 | $0.00018 | $0.00168 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Use_When>
- User asks to commit current changes ("커밋해줘", "commit this", "save my work")
- User signals task completion and wants the work captured ("이거 저장해", "wrap this up")
- The user invokes
/git-commit - The working tree has staged or unstaged changes worth recording </Use_When>
<Do_Not_Use_When>
- User asks about commit history (
git logexploration) — answer directly - User explains what a commit is or asks about commit conventions conceptually
- The working tree is clean — there is nothing to commit
- User wants a merge commit or revert (out of scope for this skill) </Do_Not_Use_When>
<Why_This_Exists>
Conventional commits are valuable but tedious to write by hand, especially when one logical change spans many files. This skill reads the diff, picks the right type(scope), drafts a one-line subject and a body that explains the why, and executes the commit immediately. It also detects when a single commit would mash unrelated changes together and offers a split plan up front. Co-Authored-By trailers are blocked because they pollute commit history and many teams treat them as spam.
</Why_This_Exists>
<Execution_Policy>
- The subject line and body are written in
$LANGUAGE(default: Korean; overrideable via--lang=<value>). typeandscopekeywords remain English (e.g.,feat,fix,chore,refactor).- Execute the commit immediately after composing the message — do not ask for preview confirmation.
- NEVER include a
Co-Authored-Bytrailer or footer in any commit message. This rule overrides every other instruction. - Skip merge commits and revert commits — out of scope.
- Skip ticket/issue references in the commit body unless the user explicitly asked. </Execution_Policy>
<Settings_Reference>
$LANGUAGE: the language setting fromplugin.jsonsettings.language(defaultKorean). Override with--lang=<value>argument. Presets: Korean, English, Japanese, Chinese. Custom values (e.g.,Spanish,Bahasa Indonesia) are accepted as free text. </Settings_Reference>
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 116 lines · 183 tokens per session scan A 9d7d2b43c390
git-commit is a skill published in the GitHub repository hg-pyun/claude-code-marketplace (2 stars, last pushed 1mo ago), licensed MIT. It adds 183 tokens to every session and 1,675 once invoked, about $0.0009 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…