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 Jewgah/claude-code-skills --skill reviewgit clone --depth 1 https://github.com/Jewgah/claude-code-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/skills/jewgah/claude-code-skills/review)<a href="https://agentmods.dev/skills/jewgah/claude-code-skills/review"><img src="https://agentmods.dev/badge/skills/jewgah/claude-code-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/skills/jewgah/claude-code-skills/review"><img src="https://agentmods.dev/badge/skills/jewgah/claude-code-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 | $0.00016 | $0.00696 |
| Opus 5 | $0.00008 | $0.00348 |
| Sonnet 5 | $0.00003 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00070 |
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 10d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review
Perform a thorough code review of the current changes. Act as a senior developer reviewing a pull request.
Steps
-
Gather changes based on scope:
- If
$ARGUMENTScontains "staged": onlygit diff --cached - If
$ARGUMENTScontains "unstaged": onlygit diff - If
$ARGUMENTScontains "last-commit":git rev-parse HEAD~1 >/dev/null 2>&1 && git diff HEAD~1 || git diff $(git hash-object -t tree /dev/null)(falls back to the empty tree on a repo's first commit) - Otherwise: both
git diffandgit diff --cached(all pending changes) - Also run
git statusfor context
- If
-
Read full files: For every file that has changes, read the COMPLETE file (not just the diff) to understand the full context around the modifications.
-
Analyze each change against this checklist:
Logic & Correctness
- Are there logic errors, off-by-one mistakes, or wrong conditions?
- Are edge cases handled (null, undefined, empty arrays, missing fields)?
- Do loops and iterations behave correctly?
- Are return values used correctly?
Security
- Any injection risks (SQL, command, XSS)?
- Is user input validated and sanitized?
- Are there exposed secrets or credentials?
- Are auth checks present where needed?
Data & State
- Are data operations correct (correct methods, field names, query parameters)?
- Is state managed correctly (component state, query cache)?
- Are race conditions possible?
- Is data transformed correctly between layers?
Error Handling
- Are async operations properly awaited?
- Are errors caught where they should be?
- Do error paths leave the app in a consistent state?
Performance
- Any unnecessary re-renders or re-fetches?
- N+1 query problems?
- Large data sets loaded without pagination?
- Missing memoization for expensive computations?
Project Constraints
- Read CLAUDE.md (if it exists) for project-specific constraints and verify changes don't violate them.
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.
- 10d ago First seen · 84 lines · 16 tokens per session scan A fe417684f749
review is a skill published in the GitHub repository Jewgah/claude-code-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 696 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
agent-watchdog
Use when asked to watch, babysit, audit, review, compare, or fix another agent's work from a Codex session ID, Claude Code session/transcript, chat/thread link, PR, branch, log, or pasted run summary. Monitor until the other agent is done or blocked, reconstruct what the user asked, independently investigate the same…
comet-verify
Comet Phase 4: Verify and Close. Invoke with /comet-verify. Verify implementation matches design, handle development branch.
agent-design-best-practices
Best practices for designing Claude Code agent files (.claude/agents/.md). This skill should be used when writing or reviewing agent markdown files to ensure proper design with focused domains, correct tool access, reusable definitions, and separation of capabilities from lifecycle. Combines Anthropic's official…
map-codebase
Deep architecture report that fans out parallel inspections across different aspects of the codebase (structure, tech stack, APIs, patterns, data flow, dependencies, testing) and synthesizes findings into a comprehensive document at .turbo/codebase-map.md and .turbo/codebase-map.html. Use when the user asks to "map…
graphify-dotnet
Use graphify-dotnet to generate codebase knowledge graphs, architecture snapshots, and exportable repository maps from .NET or polyglot source trees, with optional AI-enriched semantic relationships. USE FOR: graphify commands; graph JSON, HTML, SVG, Cypher, Markdown, and Obsidian exports; repository map and…
reply-to-pr-threads
Draft, confirm, and post replies to GitHub PR review threads. Handles per-category reply formatting, re-fetches thread resolution state so auto-resolved threads are skipped, and posts via GraphQL. Use when the user asks to "reply to PR threads", "post PR thread replies", or "draft PR reply messages".