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/kunanonj/ai-skills-hub/commitnpx skills add KunanonJ/ai-skills-hub --skill commitgit clone --depth 1 https://github.com/KunanonJ/ai-skills-hubWrote 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/kunanonj/ai-skills-hub/commit)<a href="https://agentmods.dev/skills/kunanonj/ai-skills-hub/commit"><img src="https://agentmods.dev/badge/skills/kunanonj/ai-skills-hub/commit.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00010 | $0.00390 |
| Opus 5 | $0.00005 | $0.00195 |
| Sonnet 5 | $0.00002 | $0.00078 |
| Haiku 4.5 | $0.00001 | $0.00039 |
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 4d 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
Conventional Commit
Generate a conventional commit message for staged changes.
Instructions
- Run
git diff --cachedto see staged changes - Analyze the nature of changes
- Generate a commit message following the format below
Commit Format
<type>(<scope>): <subject>
[optional body]
[optional footer]
Types
feat: New featurefix: Bug fixdocs: Documentation onlystyle: Formatting, missing semicolons, etc.refactor: Code change that neither fixes nor adds featureperf: Performance improvementtest: Adding missing testschore: Maintenance tasks
Rules
- Subject: imperative mood, no period, max 50 chars
- Body: explain WHAT and WHY, not HOW
- Footer: breaking changes, issue references
Examples
feat(auth): add password reset functionality
Implement password reset flow with email verification.
Users can now request a reset link and set new password.
Closes #123
fix(api): prevent race condition in order processing
Add mutex lock to ensure orders are processed sequentially.
This fixes duplicate charge issues reported by users.
Fixes #456
refactor(cart): extract pricing logic to separate module
No functional changes. Improves testability and
separates concerns for future discount feature.
Execution
After analyzing staged changes, suggest a commit message.
Ask for confirmation before executing git commit -m "...".
$ARGUMENTS
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.
- 4d ago First seen · 78 lines · 10 tokens per session scan A 6e7ae57e7992
commit is a skill published in the GitHub repository KunanonJ/ai-skills-hub (4 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 390 once invoked, about $0.0001 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
gh-review-fix-loop
Automate the PR review cycle — fetches review comments, triages, fixes real issues, auto-resolves false positives, runs tests, commits, pushes, then waits for re-review. Repeats up to 5 cycles.
finish-task
Close out the current task — verify all steps done, sync spec, fill completion notes, update worklog, and handle git (commit / push / PR per config).
run-task
Execute all pending steps in the current task file — creates task-context, checks commit config, runs each step with review-fix inner loop, commits per config.
commit
Commit current changes following project commit rules (template, body settings).
quick
Execute an ad-hoc task with atomic commits. Skips full plan/review.
forensics
Post-mortem investigation for failed or stuck workflows. Analyzes git history and planning artifacts.