claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
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.
git clone --depth 1 https://github.com/alirezarezvani/claude-skillsWrote 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/commands/alirezarezvani/claude-skills/review)<a href="https://agentmods.dev/commands/alirezarezvani/claude-skills/review"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/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/commands/alirezarezvani/claude-skills/review"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/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 | $0.00008 | $0.00295 |
| Opus 5 | $0.00004 | $0.00148 |
| Sonnet 5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
review 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 9d 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
Perform a complete review pass:
- Save work in progress and ensure the working tree is clean except for intentional changes.
- Install tooling (only first run):
pip install --upgrade pip pip install yamllint==1.35.1 check-jsonschema==0.28.4 safety==3.2.4 npm install --global [email protected] - Lint GitHub workflows:
yamllint -d '{extends: default, rules: {line-length: {max: 160}}}' .github/workflows check-jsonschema --schema github-workflow --base-dir . .github/workflows/*.yml - Python syntax check:
python -m compileall marketing-skill product-team c-level-advisor engineering-team ra-qm-team - Markdown sanity check:
markdown-link-check README.md - Optional dependency audit (if
requirements*.txtpresent):for f in $(find . -name "requirements*.txt" 2>/dev/null); do safety check --full-report --file "$f" done - Summarize results in the commit template's Testing section. Fix any failures before continuing.
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.
- 9d ago First seen · 34 lines · 8 tokens per session scan A 8a2a8cf92b8f
review is a command published in the GitHub repository alirezarezvani/claude-skills (25,679 stars, last pushed 9d ago), licensed MIT. It adds 8 tokens to every session and 295 once invoked, about $0.0000 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.
Other commands, from other repositories
analyst
Use when performing local analyst review before pushing PR changes. Assesses code quality, impact analysis, and maintainability.
review-feedback
Review a given code review markdown document, GitHub PR review, or inline feedback — corroborate each point against actual code, then implement valid changes.
address
Address code review feedback — corroborate, validate, and implement changes from a review's final.md.
create-reviewer
Create a new custom reviewer from a natural language description.
sync-reviewers
Sync reviewer metadata from markdown files to reviewers-meta.json for the dashboard.
translate-review-to-single-human
Translate a multi-reviewer code review into a single human-voice GitHub PR comment.