Review code for actionable defects by tracing agreements across boundaries, constructing a feasible failure and checking the strongest counterargument. Correctness is the default; performance and security are optional review dimensions.
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How to use it
Advanced. Specify the repository or diff, fixed baseline and review dimensions. Ask for findings with expected behaviour, feasible trigger, source locations, consequence and checked counterargument. The original can delegate read-only reviews and run probes, so approve repository access and command execution. No edit is requested by default. Static findings are not confirmed exploits or measured performance regressions; specialized commands need their original sibling skills.
The instructions themselves are not copied here. They stay in the author’s repository at the version below, so open them there and follow the author’s own steps.
Read files in your project or the files you point it to
Run commands on your computer
This is what the instructions ask for, not something LuluSkill does. In a chat window nothing runs; in an AI tool that can work with your files, what actually happens depends on that tool and its permission settings.
Source, licence and checks
Written for (as the author states)Claude Code, Claude Cowork
Checked as a prompt forCodex, Claude. The instructions can be given to these tools as a prompt; LuluSkill did not run them.
Licence and authorMIT licence, by phuryn on GitHub. If you copy or share the instructions, keep the author’s copyright notice and the licence text with them.
Pinned versionThis page describes commit c68487d721e4 of pm-ai-shipping/skills/code-review/SKILL.md. A newer version in the author’s repository is not covered until it is reviewed again.
Automated scanPassed (lowest risk), on Oct 13, 2026: 5 files checked, 0 findings. The scan looks for patterns such as shell commands, web requests, credential access and instruction overrides. It does not run the Skill and is not a full security audit.
ReviewRecorded on Oct 13, 2026 by LuluSkill’s AI project supervisor on the owner’s behalf. It checked the source, the licence file, the scan result and this description. It is not a human review and not a legal opinion.
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