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 CHENyiru3/AI-Skills-Collections --skill library-reviewgit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/chenyiru3/ai-skills-collections/library-review)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/library-review"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/library-review/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/chenyiru3/ai-skills-collections/library-review"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/library-review.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00068 | $0.00738 |
| Opus 5.5 | $0.00027 | $0.00295 |
| Sonnet 5.5 | $0.00014 | $0.00148 |
| Haiku 4.5 | $0.00007 | $0.00074 |
Grade A, and why
reviewing-python-libraries 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 6d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Library Review
Quick Health Check (5 min)
git clone https://github.com/user/package && cd package
cat pyproject.toml | head -50 # Modern config?
ls tests/ && pytest --collect-only # Tests exist?
pytest --cov=package | tail -20 # Coverage?
pip install bandit && bandit -r src/ # Security?
Review Dimensions
| Area | Check For |
|---|---|
| Structure | src/ layout, py.typed marker |
| Packaging | pyproject.toml (not setup.py) |
| Code | Type hints, docstrings, no anti-patterns |
| Tests | 80%+ coverage, edge cases |
| Security | No secrets, input validation, pip-audit clean |
| Docs | README, API docs, changelog |
| API | Consistent naming, sensible defaults |
| CI/CD | Tests on PR, multi-Python, security scans |
Red Flags 🚩
- No tests
- No type hints
- setup.py only (no pyproject.toml)
- Pinned exact versions for all deps
- No LICENSE file
- Last commit > 1 year ago
Green Flags ✅
- Active maintenance (recent commits)
- High test coverage (>85%)
- Comprehensive CI/CD
- Type hints throughout
- Clear documentation
- Semantic versioning
Report Template
# Library Review: [package]
**Rating:** [Excellent/Good/Needs Work/Significant Issues]
## Strengths
- [Strength 1]
## Areas for Improvement
- [Issue 1] - Severity: High/Medium/Low
## Category Scores
| Category | Score |
|----------|-------|
| Structure | ⭐⭐⭐⭐⭐ |
| Testing | ⭐⭐⭐☆☆ |
| Security | ⭐⭐⭐⭐☆ |
## Recommendations
1. [High priority action]
2. [Medium priority action]
For detailed checklists, see:
- CHECKLIST.md - Full review checklist
- REPORT_TEMPLATE.md - Complete report template
Best Practices Checklist
Essential:
- [ ] pyproject.toml valid
- [ ] Tests exist and pass
- [ ] README has install/usage
- [ ] LICENSE present
- [ ] No hardcoded secrets
Important:
- [ ] Type hints on public API
- [ ] CI runs tests on PRs
- [ ] Coverage > 70%
- [ ] Changelog maintained
Recommended:
- [ ] src/ layout
- [ ] py.typed marker
- [ ] Security scanning in CI
- [ ] Contributing guide
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.
- 6d ago First seen · 105 lines · 68 tokens per session scan A c065119daf0f
reviewing-python-libraries is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 68 tokens to every session and 738 once invoked, about $0.0003 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 2026-10-02.
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Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
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