sherlock-review
About
Sherlock-review is an evidence-based code review skill that uses deductive reasoning to systematically verify implementation claims, investigate bugs, and perform root cause analysis. It guides developers through observing concrete evidence and deducing what actually happened versus what was stated. This makes it ideal for validating fixes, security audits, and performance validation during code reviews.
Quick Install
Claude Code
Recommendednpx skills add proffesor-for-testing/agentic-qe -a claude-code/plugin add https://github.com/proffesor-for-testing/agentic-qegit clone https://github.com/proffesor-for-testing/agentic-qe.git ~/.claude/skills/sherlock-reviewCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the sherlock-review skill?
sherlock-review is a Claude Skill by proffesor-for-testing. Skills package instructions and resources that Claude loads on demand, so Claude can perform sherlock-review-related tasks without extra prompting.
How do I install sherlock-review?
Use the install commands on this page: add sherlock-review to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does sherlock-review belong to?
sherlock-review is in the quality-review category, tagged investigation, evidence-based, code-review, root-cause and deduction.
Is sherlock-review free to use?
Yes. sherlock-review is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
Sherlock Review performs evidence-based code investigation using deductive reasoning to verify implementation claims and find root causes. It systematically analyzes code, tests, and history to determine what actually happened versus what was reported. Use this skill for validating fixes, investigating bugs, or conducting rigorous code reviews.
This skill provides direct, unfiltered technical criticism for code reviews, testing strategies, or technical decisions that require a harsh reality check. It operates in three distinct modes—Linus (precision), Ramsay (standards), and Bach (BS detection)—to surgically identify flaws without sugar-coating. Use it when you need a brutally honest assessment of what's broken and why.
This skill provides direct, unfiltered technical criticism for code reviews, testing, or architectural decisions by channeling distinct analytical modes. It surgically identifies flaws and their root causes without sugar-coating, aimed at situations requiring harsh reality checks. Developers should use it when they need rigorous, no-nonsense feedback to expose broken logic or insufficient rigor.
This skill provides direct, unfiltered technical criticism for code reviews, testing, or architectural decisions, modeled after the precision of expert critics. It operates in three distinct modes—technical accuracy, quality standards, and logic validation—to deliver surgical feedback without sugar-coating. Use it when you need a harsh reality check to identify exactly what is broken and why.