AI Business Code Review
SkillSecurityUse when reviewing or scoring AI-generated business/application code quality in any language, especially when a numeric score, risk level, or must-fix checklist is requested, or when C++ code must comply with OpenHarmony C++ and security standards
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the AI Business Code Review skill
What this skill tells your AI
The instructions your AI receives, as published by openharmonyinsight/openharmony-skills in skills/ai-generated-business-code-review/SKILL.md and read by ahel’s review.
Overview
Review AI-generated business/application code for correctness, robustness, maintainability, performance, and security. Output a 0-10 score, a risk level, and a must-fix checklist. For C++ code, REQUIRED: use openharmony-cpp and openharmony-security-review as hard constraints.
When to Use
- AI-generated business/app code review or quality evaluation
- Need scoring, risk level, or must-fix checklist
- C++ business code must meet OpenHarmony coding/security requirements
Workflow
- Identify language and code type (business vs test). If test code, use
ai-generated-ut-code-reviewinstead. - For C++: load and apply
openharmony-cpp+openharmony-security-reviewas mandatory constraints. - Inspect behavior vs requirements, edge cases, error handling, resource management, and security.
- Score by rubric, assign risk level, list must-fix items with concrete evidence (file/line or snippet).
Scoring (0-10)
Each dimension 0-2 points. Sum = total score.
| Dimension | 0 | 1 | 2 |
|---|---|---|---|
| Correctness | Wrong/missing key behavior | Partial/assumptions | Meets requirements |
| Robustness | Crashes/leaks/unchecked errors | Some edge handling | Solid edge/error handling |
| Maintainability | Hard to read/modify | Mixed quality | Clear structure & naming |
| Performance | Inefficient hot paths | Acceptable but improvable | Efficient for expected load |
| Security | Clear vulnerabilities | Weak validation/unsafe | Safe-by-default, validated |
Risk Levels
- Blocker: security漏洞、严重逻辑错误、或违反 C++ 强制规范
- High: 关键路径缺失、异常处理不完整、明显资源泄漏
- Medium: 维护性或性能风险显著
- Low: 轻微问题或风格一致性
Must-Fix Checklist
- 外部输入有明确校验与错误反馈
- 关键异常路径可达且可观测(日志/错误码/异常)
- 资源释放或 RAII 保证(C++)
- C++ 场景满足
openharmony-cpp与openharmony-security-review
AI-Generated Code Pitfalls (Check Explicitly)
- 需求误解、隐含前提错误
- 只覆盖 happy-path,忽略异常/边界
- 吞异常或默认值不合理
- 复制粘贴造成重复与不一致
- 过度复杂化或抽象错误
Output Format (Required, Semi-fixed)
Score: x/10 — Correctness x, Robustness x, Maintainability x, Performance x, Security xRisk: Low/Medium/High/Blocker — 简述风险原因(1 行)Must-fix:- [动作 + 证据]
- [动作 + 证据]
Key Evidence:- 引用具体函数/类/路径(1-2 条)
Notes:- 最小修复建议或替代方案(1-2 行)
Rules:
- C++ 必须在
Key Evidence或Must-fix中明确指出违反openharmony-cpp/openharmony-security-review的点 - 至少 2 条证据;证据不足需说明并降分
- 禁止只给总体评价
Common Mistakes
- 只给总体评价,不给证据
- 忽略 C++ 强制规范
- 将风格问题当作阻断风险
Example (Concise)
Score: 6/10 (Correctness 1, Robustness 1, Maintainability 1, Performance 1, Security 2) Risk: High Must-fix:
- Missing input validation in
createUser()(null/empty, length, format) - Error path swallows exceptions without logging Key Evidence:
createUser()accepts raw input without checkscatchblock is empty inpersistUser()Notes:- Add explicit validation and return structured errors.
Signals
- GitHub stars
- 34
- Forks
- 7
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
ai-generated-business-code-review- Source
- github.com/openharmonyinsight/openharmony-skills