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NAKKA-K
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code-review

Analyze modified files to generate structured, confidence-scored code feedback.

Updated Oct 17, 2017
Search Tags:#security#analysis#quality#bugs#confidence#code-review#automated
One-click install
npx skills add https://github.com/NAKKA-K/dotfiles --skill code-review-nakka-k
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/NAKKA-K/dotfiles/tree/main/claude/skills/code-review
Command: npx skills add https://github.com/NAKKA-K/dotfiles --skill code-review-nakka-k

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

生成・変更されたコードの品質を自動的に評価し、信頼性の高いフィードバックを提供します。

Core Features & Use Cases

  • 多角的分析: バグ、セキュリティ、品質、履歴の観点を常に適用します。
  • 条件付き適用: テスト変更や API/型の変更があった場合に追加の観点を適用します。
  • 確信度スコアリング: 各指摘を0–100でスコア化し、確信度80以上の指摘のみを報告します。

Quick Start

Request a review of the latest code changes to receive structured, confidence-scored feedback.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate code review for modified files?▼

Automated code review analyzes modified files to generate structured feedback on changes. It applies bug, security, quality, and history perspectives to provide confidence-scored, actionable insights aligned to project guidelines.

How does confidence scoring work in automated code analysis?▼

Confidence scoring in code analysis quantifies each identified issue from 0 to 100. Only findings with a confidence score of 80 or higher are reported, ensuring feedback is reliable and actionable for your modified files.

Can I get security and bug analysis for my latest code changes?▼

Yes, requesting a review of your latest code changes provides security and bug analysis. The system always applies bug, security, quality, and history perspectives to evaluate the modified files and generate structured feedback.

Does automated code review check API and test modifications?▼

Automated code review conditionally checks API and test modifications. When relevant changes are detected, it adds targeted tests or contract checks alongside the default bug, security, quality, and history perspectives to ensure comprehensive feedback.

What is the best way to ensure code review feedback is actionable?▼

The best way to ensure actionable code review feedback is to use confidence-scored analysis. By quantifying issues with a 0–100 score and only reporting findings above 80, the output remains highly reliable and aligned to project guidelines.

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