How does this differ from standard linting tools?

While traditional linters catch syntax and style issues, this skill uses Claude Opus to understand logical intent, identifying complex architectural bugs like race conditions and state mutation errors.

What details are provided in a bug report?

Each finding includes detailed reproduction conditions: the required state (preconditions), the action that triggers the bug, the frequency of occurrence, and the potential impact.

How does the skill handle false positives?

It includes a validation phase that filters out theoretical bugs, ignoring conditions guarded by frameworks or external logic to ensure results are actionable.

Can it help with asynchronous programming issues?

Yes, it specifically analyzes async/await patterns to find unhandled promise rejections, missing awaits, and time-of-check to time-of-use (TOCTOU) vulnerabilities.

Bug Detection & Logic Review

Name: Bug Detection & Logic Review
Author: JesseNaranjo

byJesseNaranjo

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Security & Testing

Identifies critical logical errors, null references, and race conditions through multi-pass deep-dive code analysis.

About

The Bug-Review skill is a specialized agentic workflow designed to hunt for sophisticated software defects that standard linters often miss. Utilizing the Claude Opus model, it performs a thorough initial sweep followed by a secondary gap analysis to detect complex issues like off-by-one errors, async/await misconfigurations, and state management flaws. By providing structured reproduction conditions including preconditions, triggers, and impact assessments, this skill transforms abstract code analysis into actionable technical insights for developers.

Key Features

Detection of asynchronous bottlenecks, unhandled promises, and race conditions
Auto-validation of high-confidence patterns like empty catch blocks and missing awaits
Identification of off-by-one errors, loop termination issues, and edge case logic gaps
1 GitHub stars
Deep analysis of null and undefined reference vulnerabilities across complex code paths
Comprehensive state management audit for React, Redux, and shared object mutations

Use Cases

Hardening high-stakes pull requests by identifying hidden logical flaws before merging
Debugging intermittent production issues such as race conditions or memory leaks
Auditing legacy codebases for inconsistent error handling and type coercion bugs

About

Key Features

Detection of asynchronous bottlenecks, unhandled promises, and race conditions
Auto-validation of high-confidence patterns like empty catch blocks and missing awaits
Identification of off-by-one errors, loop termination issues, and edge case logic gaps
1 GitHub stars
Deep analysis of null and undefined reference vulnerabilities across complex code paths
Comprehensive state management audit for React, Redux, and shared object mutations

Use Cases

Hardening high-stakes pull requests by identifying hidden logical flaws before merging
Debugging intermittent production issues such as race conditions or memory leaks
Auditing legacy codebases for inconsistent error handling and type coercion bugs