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/itechmeat/llm-code/commitsnpx skills add itechmeat/llm-code --skill commitsgit clone --depth 1 https://github.com/itechmeat/llm-codeWhat 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 | $0.00052 | $0.02158 |
| Opus 5 | $0.00026 | $0.01079 |
| Sonnet 5 | $0.00010 | $0.00432 |
| Haiku 4.5 | $0.00005 | $0.00216 |
Grade A, and why
commits 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 2d 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 — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conventional Commits
Specification for structured commit messages that enable automated changelog generation and semantic versioning.
Quick Reference
Format
<type>[optional scope]: <description>
[optional body]
[optional footer(s)]
Common Types
| Type | Purpose | SemVer |
|---|---|---|
feat |
New feature | MINOR |
fix |
Bug fix | PATCH |
docs |
Documentation only | - |
style |
Formatting, no code change | - |
refactor |
Code change, no feature/fix | - |
perf |
Performance improvement | - |
test |
Adding/fixing tests | - |
build |
Build system, dependencies | - |
ci |
CI configuration | - |
chore |
Maintenance tasks | - |
revert |
Revert previous commit | - |
Breaking Changes
feat!: send email when product shipped
feat(api)!: change response format
chore!: drop support for Node 6
BREAKING CHANGE: use JavaScript features not available in Node 6.
Examples
Simple Commits
feat: add user authentication
fix: resolve memory leak in cache
docs: update API documentation
style: format code with prettier
refactor: extract validation logic
perf: optimize database queries
test: add unit tests for auth module
build: upgrade webpack to v5
ci: add GitHub Actions workflow
chore: update dependencies
With Scope
feat(auth): add OAuth2 support
fix(parser): handle empty arrays
docs(readme): add installation guide
refactor(api): simplify error handling
With Body
fix: prevent request racing
Introduce a request id and reference to latest request.
Dismiss incoming responses other than from latest request.
Remove timeouts which were used to mitigate the racing issue
but are obsolete now.
With Footer
fix: correct minor typos in code
Reviewed-by: John Doe
Refs: #123
What ships with it
2 files 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.
- 2d ago First seen · 324 lines · 52 tokens per session scan A 22def7fc1f6b
commits is a skill published in the GitHub repository itechmeat/llm-code (22 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 2,158 once invoked, about $0.0003 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 2026-08-30.
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