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fixme-handle-code-review

Classify code-review findings using a unified taxonomy after automated post-execution reviews.

Updated Feb 18, 2026
Search Tags:#automation#quality-assurance#triage#taxonomy#code-review#defect-classification
One-click install
npx skills add https://github.com/denis-pingin/fixme --skill fixme-handle-code-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fixme-handle-code-review
Source: https://github.com/denis-pingin/fixme/tree/main/.claude/skills/fixme-handle-code-review
Command: npx skills add https://github.com/denis-pingin/fixme --skill fixme-handle-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validate and triage code review findings from a post-execution review. Classify each finding using the unified taxonomy (FIX, FIX_UNCLEAR, ASK_USER, REJECT_FALSE_POSITIVE, REJECT_WONT_FIX, REJECT_ALREADY_FIXED). Reads the plan, spec, implementation, and tests to distinguish real issues from false positives caused by misunderstood context, intent, or approach. Designed to eliminate harmful, incorrect, or context-blind feedback before it reaches implementation.

Core Features & Use Cases

  • Classifies each finding using a unified taxonomy: FIX, FIX_UNCLEAR, ASK_USER, REJECT_FALSE_POSITIVE, REJECT_WONT_FIX, REJECT_ALREADY_FIXED
  • Reads the plan, spec, implementation, and tests to distinguish real issues from false positives caused by context or assumptions
  • Supports decision logging and clear handoffs to execution phases

Quick Start

Scan the latest findings and classify each one using the taxonomy.

Frequently Asked Questions about fixme-handle-code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I triage automated code review findings to filter out false positives?▼

Triage automated code review findings by reading the plan, spec, implementation, and tests to validate context, then classify each issue using a unified taxonomy to filter out false positives before execution.

What is the unified taxonomy for classifying code review defects?▼

The unified taxonomy for classifying code review defects includes FIX, FIX_UNCLEAR, ASK_USER, REJECT_FALSE_POSITIVE, REJECT_WONT_FIX, and REJECT_ALREADY_FIXED to determine accurate next steps for each finding.

How do I validate post-execution code review feedback against project specifications?▼

Validate post-execution code review feedback by cross-referencing findings against the plan, spec, implementation, and tests to ensure the feedback is accurate, safe, and actionable before it reaches implementation.

Can I use automated defect classification to stop context-blind code review comments?▼

Yes, automated defect classification eliminates harmful, incorrect, or context-blind code review comments by distinguishing real issues from false positives caused by misunderstood intent or approach.

What are the limitations of relying on automated code review triage?▼

Automated code review triage requires complete plan, spec, implementation, and test documentation to function accurately; missing context may limit its ability to distinguish real issues from false positives.

Does code review triage support decision logging for handoffs to execution phases?▼

Yes, code review triage supports decision logging and clear handoffs to execution phases by applying the unified taxonomy to classify issues and determine safe next steps.

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