brutal-honesty-review
About
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.
Quick Install
Claude Code
Recommendednpx skills add majiayu000/claude-skill-registry -a claude-code/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/brutal-honesty-reviewCopy and paste this command in Claude Code to install this skill
GitHub Repository
Related Skills
Verification & Quality Assurance
OtherThis skill provides automated quality verification for code and agent outputs using truth scoring and quality checks. It automatically rolls back changes that fall below a 0.95 accuracy threshold, ensuring codebase reliability. Use it for CI/CD integration and maintaining high-quality standards in development workflows.
Verification & Quality Assurance
OtherThis skill provides automated verification and quality assurance for code and agent outputs, including truth scoring and validation checks. It enables automatic rollback for failed quality checks and integrates with CI/CD pipelines. Use it to validate code changes before merging or to ensure the correctness of generated outputs.
github-code-review
OtherThis skill enables AI-powered multi-agent code reviews for GitHub pull requests using swarm coordination. It performs comprehensive analysis including security, performance, and quality checks while automating PR management tasks. Use it when you need intelligent, automated code review beyond basic static analysis in your GitHub workflow.
sherlock-review
OtherSherlock 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.
