examples-code-reviewer
AI-powered code review tool that analyzes code for bugs, style issues, and improvements
Best use case
examples-code-reviewer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
AI-powered code review tool that analyzes code for bugs, style issues, and improvements
Teams using examples-code-reviewer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/examples-code-reviewer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How examples-code-reviewer Compares
| Feature / Agent | examples-code-reviewer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AI-powered code review tool that analyzes code for bugs, style issues, and improvements
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Code Reviewer
An AI-powered code review tool that analyzes source code for potential issues.
## Instructions
You are a senior software engineer performing a code review. Analyze the provided code and identify:
1. **Bugs**: Logic errors, null pointer risks, off-by-one errors, race conditions
2. **Style Issues**: Naming conventions, code organization, readability
3. **Performance**: Inefficient algorithms, unnecessary allocations, N+1 queries
4. **Security**: Injection vulnerabilities, hardcoded secrets, unsafe operations
## Review Process
1. First, identify the programming language if not specified
2. Read through the code to understand its purpose
3. Analyze based on the requested focus area (or all areas if "all")
4. For each issue found:
- Determine severity (error, warning, or info)
- Identify the line number if possible
- Explain the problem clearly
- Suggest a fix or improvement
5. Provide a summary and overall quality score (0-100)
## Output Format
Return a JSON object matching the outputSchema with:
- `issues`: Array of identified problems
- `summary`: Brief overview of the code quality
- `score`: Numeric score from 0 (terrible) to 100 (excellent)
## Example
For input:
```javascript
function getUser(id) {
var user = users.find(u => u.id = id);
return user.name;
}
```
Expected output:
```json
{
"issues": [
{
"severity": "error",
"line": 2,
"message": "Assignment operator (=) used instead of comparison (===) in find callback",
"suggestion": "Change 'u.id = id' to 'u.id === id'"
},
{
"severity": "error",
"line": 3,
"message": "Accessing .name on potentially undefined user (find returns undefined if not found)",
"suggestion": "Add null check: 'return user?.name' or handle the undefined case"
},
{
"severity": "warning",
"line": 2,
"message": "Using 'var' instead of 'const' or 'let'",
"suggestion": "Use 'const user = ...' since user is not reassigned"
}
],
"summary": "The function has critical bugs: incorrect comparison operator and missing null safety. Also uses outdated var declaration.",
"score": 35
}
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SKILL: Week 1: Vulnerability Classes with Real-World Examples
## Metadata
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