skills.rest
openharmonyinsight
openharmonyinsightOFFICIAL
Explore all skills by this author →
GitHub

ai-generated-business-code-review

Score AI-generated code and list evidence-based must-fix issues.

31|6|Updated Jan 29, 2026
Search Tags:#code review#security#risk assessment#quality scoring#OpenHarmony C++#must-fix checklist
One-click install
npx skills add https://github.com/openharmonyinsight/openharmony-skills --skill ai-generated-business-code-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-generated-business-code-review
Source: https://github.com/openharmonyinsight/openharmony-skills/tree/main/skills/ai-generated-business-code-review
Command: npx skills add https://github.com/openharmonyinsight/openharmony-skills --skill ai-generated-business-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you reliably assess AI-generated business/application code by producing an actionable score, risk level, and must-fix checklist with concrete evidence, reducing the chance of shipping incorrect or insecure logic.

Core Features & Use Cases

  • Quality scoring with risk classification: Generates a 0–10 score and Low/Medium/High/Blocker risk level based on correctness, robustness, maintainability, performance, and security.
  • Must-fix checklist backed by evidence: Produces a prioritized set of fixes with specific file/line or snippet references instead of generic comments.
  • OpenHarmony C++ and security guardrails: For C++ code, it enforces mandatory constraints by using openharmony-cpp and openharmony-security-review as hard requirements to flag violations.
  • Use Case: Review an AI-generated OpenHarmony service or module implementation and get a defensible “what to fix first” list before PR submission, especially when the code must meet OpenHarmony C++ and security standards.

Quick Start

Use ai-generated-business-code-review to score the provided AI-generated business code, identify must-fix issues with evidence, and assign an explicit risk level.

Frequently Asked Questions about ai-generated-business-code-review

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

FAQPage Schema
How do I review AI-generated code for security and quality risks?▼

You can review AI-generated code by evaluating correctness, robustness, maintainability, performance, and security to produce a numeric score, a risk level, and an evidence-based must-fix checklist.

Does AI-generated C++ code need specific OpenHarmony security checks?▼

Yes, AI-generated C++ code requires mandatory OpenHarmony coding and security checks. The review explicitly identifies openharmony-cpp and openharmony-security-review violations to ensure compliance.

How can I get an actionable must-fix checklist for AI-generated application logic?▼

To get an actionable must-fix checklist for AI-generated application logic, evaluate the code to produce a prioritized list of fixes backed by at least two concrete evidence items like specific file lines or snippets.

What is the best way to score AI-generated business code before a PR submission?▼

The best way to score AI-generated business code before a PR submission is to assess it against quality and security constraints, generating a 0–10 score alongside a Low, Medium, High, or Blocker risk classification.

Can I use automated code review for languages other than C++?▼

Yes, automated code review applies to any programming language for correctness, robustness, maintainability, performance, and security evaluation, but mandatory OpenHarmony constraints are specifically enforced for C++.

Why does my AI-generated code review require concrete evidence items?▼

AI-generated code reviews require at least two concrete evidence items to ensure the must-fix checklist is actionable and defensible, reducing the chance of shipping incorrect or insecure logic by avoiding generic comments.

Related Skills

Explore More Software Engineering Skills→
pingqLINpingqLIN

csharp-ko

Enforce C# coding standards for naming, formatting, performance, and security.

Community
Intermediate
benaorbenaor

solid-principles

Detect and resolve SOLID violations in TypeScript codebases with refactor patterns.

Community
Intermediate
AvihusittonAvihusitton

logic-lens

Detect logic flaws, race conditions, and security risks in code reviews.

Community
Intermediate
peopleforresterpeopleforrester
3

code-reviewer

Generate structured code review feedback with Summary, Must Fix, Should Fix, Consider, and Positive Feedback sections.

Community
Basic