What languages does the Critical Code Reviewer support?

It provides specialized scrutiny for Python, R, JavaScript, TypeScript, SQL, and front-end CSS/frameworks.

How does this differ from a standard linter?

While linters check for syntax and style, this skill evaluates architectural intent, logic failures, security holes, and 'code slop' that automated tools miss.

Can I use this for partial code snippets?

Yes, it can review snippets. It will flag risks it cannot verify due to missing context as 'Verify' items rather than blocking issues.

Is the feedback always negative?

The tone is 'constructively brutal.' It focuses on protecting the codebase from entropy, but it will explicitly praise elegant and thoughtful code that meets its high standards.

Critical Code Reviewer

Name: Critical Code Reviewer
Author: posit-dev

byposit-dev

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Collaboration Tools

Performs rigorous, adversarial code reviews to identify security vulnerabilities, performance bottlenecks, and architectural flaws across multiple languages.

About

This skill transforms Claude into a senior engineer who conducts high-stakes code reviews with zero tolerance for mediocrity. It goes beyond simple linting to identify 'code slop,' structural weaknesses, and language-specific anti-patterns in Python, R, JavaScript, and SQL. By adopting an adversarial lens, it uncovers hidden edge cases, security risks, and technical debt, providing structured feedback categorized by severity tiers—Blocking, Required, and Suggestions—to ensure every pull request meets production-grade standards.

Key Features

Multi-language support for Python, R, JS/TS, SQL, and Front-end frameworks
Adversarial logic to identify unhandled promises, race conditions, and injection risks
Slop detection for lazy naming, redundant comments, and copy-paste artifacts
Structural analysis of file organization, dependency sprawl, and component logic
Severity-tiered feedback with actionable recommendations and specific code fixes
66 GitHub stars

Use Cases

Conducting pre-deployment security and logic audits for mission-critical PRs
Identifying technical debt and 'junk drawer' patterns in legacy codebases
Enforcing strict type safety and error handling standards across team repositories

About

Key Features

Multi-language support for Python, R, JS/TS, SQL, and Front-end frameworks
Adversarial logic to identify unhandled promises, race conditions, and injection risks
Slop detection for lazy naming, redundant comments, and copy-paste artifacts
Structural analysis of file organization, dependency sprawl, and component logic
Severity-tiered feedback with actionable recommendations and specific code fixes
66 GitHub stars

Use Cases

Conducting pre-deployment security and logic audits for mission-critical PRs
Identifying technical debt and 'junk drawer' patterns in legacy codebases
Enforcing strict type safety and error handling standards across team repositories