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classify-review

Re-classify PR review severity with Haiku AI to filter false positives.

4|1|Updated Mar 21, 2026
Search Tags:#code review#AI classification#PR review#false positive filter#severity detection
One-click install
npx skills add https://github.com/Cor-Incorporated/claude-code-skills --skill classify-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: classify-review
Source: https://github.com/Cor-Incorporated/claude-code-skills/tree/main/skills/classify-review
Command: npx skills add https://github.com/Cor-Incorporated/claude-code-skills --skill classify-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires haiku, classify-review-state.sh, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the issue of false positives in regex-based severity detection during PR reviews, using AI to reclassify and filter out false positives.

Core Features & Use Cases

  • AI Severity Re-classification: Uses Haiku AI to determine if regex-detected CRITICAL/HIGH severity comments are false positives.
  • False Positive Filter: Filters out false positives by analyzing the context of comments.
  • Use Case: For developers who want to ensure that only genuine issues are flagged during code reviews, reducing the noise and improving efficiency.

Quick Start

Run the command: /classify-review [PR number]

Frequently Asked Questions about classify-review

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

FAQPage Schema
How do I filter false positives from regex-based PR review severity detection?▼

You can filter false positives from PR review severity detection by applying AI severity reclassification to analyze comment context and suppress non-genuine issues. This process re-evaluates regex-detected CRITICAL or HIGH severity flags to reduce noise.

Can I use AI to reclassify code review severity levels automatically?▼

Yes, you can use AI to reclassify code review severity levels automatically by running the classify-review command with a PR number. The Haiku AI evaluates the context of regex-flagged comments to determine if they are genuine issues.

Do I need Haiku AI to run the PR review false positive filter?▼

Yes, you need access to Haiku AI to perform the classification and state management scripts to update the review state. These dependencies are required to evaluate comment context and filter out false positives effectively.

What is the best way to reduce noise from false positive severity flags in code reviews?▼

The best way to reduce noise from false positive severity flags in code reviews is applying AI severity reclassification. By analyzing the context of regex-detected CRITICAL and HIGH comments, AI filters out non-genuine issues to improve review efficiency.

Does this AI severity reclassification work with existing regex-based code review workflows?▼

Yes, AI severity reclassification integrates with existing regex-based code review workflows by evaluating the context of detected CRITICAL and HIGH severity comments. It uses state management scripts to update and filter the review state accurately.

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