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QualityRust

Code Review

by deonmenezes

Code Review is a Quality skill for Claude Code, published by deonmenezes in mantishack.

490 stars73 forkson deonmenezes/mantishackAdded 2026/08/26Repository updated 2026/08/11
agent-harnessai-agentsautonomous-agentsbug-bountyclaude-codemantismcpoffensive-securitysecurity
Install in seconds
Install Code Review
Copy Code Review into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/deonmenezes/mantishack/tree/main/.codex/skills/code-review ~/.claude/skills/code-review

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/deonmenezes/mantishack.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
.codex/skills/code-review/SKILL.md in deonmenezes/mantishack
Installs to
~/.claude/skills/code-review
Collection
One of 25 skills cataloged from this repository
Category
Quality โ€” 1354 skills

What Code Review does

Code Review runs a final review on a pull request by delegating to other code-review subagents and collecting their findings. Use it to surface every issue with file paths and line numbers before merging.

Code Review is cataloged under Quality on DirSkills. Code Review comes from a repository tagged agent-harness, ai-agents, autonomous-agents, bug-bounty and claude-code.

Documentation

README

Use subagents to review code using all code-review-* skills other than this orchestrator. One subagent per skill. Pass full skill path to subagents. Use xhigh reasoning.

You must return every single issue from every subagent. You can return an unlimited number of findings. Use raw Markdown to report findings. Number findings for ease of reference. Each finding must include a specific file path and line number.

If the GitHub user running the review is the owner of the pull request add a code-reviewed label. Do not leave GitHub comments unless explicitly asked.

Frequently asked about Code Review

  • What else does deonmenezes publish alongside Code Review?

    Code Review is one of 25 skills that DirSkills catalogs from deonmenezes/mantishack, the repository it ships in. Its siblings there include Canary Tripwire Response, Code Breaking Changes and Code Review Change Size. Each one is a separate skill with its own page in this directory, installs the same way Code Review does, and is maintained by deonmenezes in that same repository. The rest of the collection is listed on the deonmenezes/mantishack page.

  • How does Code Review compare to other Quality skills?

    Code Review ranks #1239 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Code Review against them. Open each page to compare what they document and how they install.

More from deonmenezes/mantishack

Code Review is one of 25 skills cataloged on DirSkills from deonmenezes/mantishack.

See all 25 skills โ†’
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Code Breaking Changes

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Code Review Change Size

Code Review Change Size sets limits for how many lines a change should touch and asks for staged delivery when a diff is too large. Use it to judge whether a change is reviewable in one pass or should be split.
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Code Review Context

Code Review Context defines constraints for building model context incrementally, with bounded fragments and hard caps. Use it when reviewing changes that inject visible context into Codex requests.
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Code Review Testing

Code Review Testing gives guidance for authoring tests for agent changes, with a preference for integration tests in core/suite. It is used when changes affect agent logic and need readable, maintainable test coverage.
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CodeQL Audit

CodeQL Audit builds a CodeQL database and runs query suites through the mantis_codeql MCP server. Use it for dataflow-aware SAST when you need source-to-sink analysis beyond pattern matching tools.
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