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 skills add fusengine/agents --skill commit-detectiongit clone --depth 1 https://github.com/fusengine/agentsWrote 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/fusengine/agents/commit-detection)<a href="https://agentmods.dev/skills/fusengine/agents/commit-detection"><img src="https://agentmods.dev/badge/skills/fusengine/agents/commit-detection/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/fusengine/agents/commit-detection"><img src="https://agentmods.dev/badge/skills/fusengine/agents/commit-detection.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 | $0.00026 | $0.00928 |
| Opus 5.5 | $0.00010 | $0.00371 |
| Sonnet 5.5 | $0.00005 | $0.00186 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
commit-detection 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Commit Type Detection Skill
Expert knowledge for detecting the optimal conventional commit type.
Detection Algorithm
Step 1: Gather Data
# Get modified files
git diff --name-only
git diff --staged --name-only
# Get change statistics
git diff --stat
git diff --staged --stat
# Check for keywords in diff
git diff | grep -i "fix\|bug\|error" | head -5
Step 2: Categorize Files
| Category | File Patterns |
|---|---|
| docs | *.md, *.txt, *.rst, README*, CHANGELOG* |
| test | *.test.*, *.spec.*, __tests__/*, test/* |
| config | *.json, *.yml, *.yaml, *.toml, .*rc |
| ci | .github/*, .gitlab-ci.yml, Jenkinsfile |
| build | package.json, Makefile, webpack.*, vite.* |
| style | Only whitespace, formatting changes |
| src | *.ts, *.js, *.py, *.go, *.rs, etc. |
Step 3: Apply Rules
IF only docs files changed:
→ docs
IF only test files changed:
→ test
IF only config/build files changed:
→ chore
IF only CI files changed:
→ ci
IF diff contains "fix", "bug", "error", "issue", "resolve":
→ fix
IF new files added with business logic:
→ feat
IF files renamed/moved without logic change:
→ refactor
IF performance keywords ("optimize", "perf", "speed", "cache"):
→ perf
IF formatting only (whitespace, semicolons):
→ style
DEFAULT:
→ Use /commit-pro:commit for smart analysis
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 · 130 lines · 26 tokens per session scan A 6dd74db4fa3e
commit-detection is a skill published in the GitHub repository fusengine/agents (33 stars, last pushed 7d ago), licensed MIT. It adds 26 tokens to every session and 928 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 2026-09-03.
Other skills, from other repositories
radin-batch
Work backlog tasks via sub-agents, prioritized, one commit each; plans first the entries radin-record flagged as needing a plan. Use for "work through my backlog", or name an epic or task to run only those.
finalise-session
Run /handover then commit and push changes to git.
branch-and-worktree-workflow
Isolates feature work in its own branch or worktree and integrates it cleanly when done. Use this when starting work that should not disturb the current workspace, when several efforts must proceed in parallel on one repository, or when implementation is finished and the change needs merging, rebasing, or splitting…
pr-review
Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments. NOT for pre-PR review, findings triage, or CI monitoring.
phx-pr-review
Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments. NOT for pre-PR review, findings triage, or CI monitoring.
genshijin-commit
A guide for writing short Git commit messages in Conventional Commits format, a shared style that labels changes such as features, fixes, tests, and documentation. It supports Japanese and English and emphasizes explaining why a change was made.