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PancrePal-xiaoyibao
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code-review

Analyze workspace changes for security issues and categorize findings by severity.

6|1|Updated Jul 1, 2026
Search Tags:#automation#software engineering#quality assurance#static analysis#code review#security
One-click install
npx skills add https://github.com/PancrePal-xiaoyibao/VitaForge --skill code-review-pancrepal-xiaoyibao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/PancrePal-xiaoyibao/VitaForge/tree/main/.gemini/skills/code-review
Command: npx skills add https://github.com/PancrePal-xiaoyibao/VitaForge --skill code-review-pancrepal-xiaoyibao

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the inconsistency and manual overhead of code reviews by providing a structured, multi-modal analysis that combines deterministic rules with AI-driven reasoning to catch bugs and style issues early.

Core Features & Use Cases

  • Hybrid Analysis: Leverages OCR CLI for deterministic checks and falls back to Agent reasoning for complex logic.
  • Context-Aware Review: Groups related files and utilizes project-specific rules defined in JSON.
  • Use Case: During a pull request, use this Skill to automatically scan changes for security vulnerabilities and performance bottlenecks, categorizing findings by severity to prioritize critical fixes.

Quick Start

Use the code-review skill to analyze the current workspace changes and report any high-priority security issues.

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 pull requests to catch security vulnerabilities?▼

Automated code review for pull requests scans workspace changes using multi-modal analysis, combining deterministic rules with AI reasoning to identify security vulnerabilities and categorize them by severity. This structured approach catches bugs and style issues early without manual overhead.

What is multi-modal static analysis for software engineering?▼

Multi-modal static analysis integrates deterministic OCR-based checks with AI-driven contextual reasoning to assess code quality. It groups related files and applies project-specific coding standards to evaluate complex logic and enforce quality assurance.

Does automated code review support project-specific coding standards?▼

Automated code review supports project-specific coding standards through context-aware analysis. It utilizes project-specific rules defined in JSON files to evaluate code changes against your customized quality and security requirements.

How do I categorize code issues by severity during a PR review?▼

To categorize code issues by severity during a PR review, the analysis integrates deterministic OCR CLI checks with AI reasoning to group related files and report high-priority security vulnerabilities and performance bottlenecks based on your project rules.

Do I need local CLI tools to run AI-driven code quality assessment?▼

You need local CLI tools and workspace context files to run this AI-driven code quality assessment. The hybrid analysis leverages OCR CLI for deterministic checks and falls back to AI reasoning for complex logic evaluation.

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