Agent skill
code-review-assistant
Activates when reviewing code to identify quality issues, security vulnerabilities, and suggest improvements
Install this agent skill to your Project
npx add-skill https://github.com/fusionet24/AISkills/tree/main/skills/code-review-assistant
SKILL.md
Code Review Assistant
Overview
This skill helps conduct thorough code reviews by analyzing code structure, identifying potential issues, and suggesting improvements. It focuses on code quality, security, performance, and maintainability.
Instructions
When reviewing code, follow these steps:
- Understand Context: Review the purpose and scope of the code changes
- Analyze Structure: Examine the overall architecture and organization
- Check Quality: Look for code smells, anti-patterns, and violations of best practices
- Security Review: Identify potential security vulnerabilities
- Performance: Consider performance implications
- Suggest Improvements: Provide actionable feedback with examples
Review Checklist
- Code follows consistent style and conventions
- Functions and variables have clear, descriptive names
- Logic is clear and not overly complex
- Error handling is appropriate
- No security vulnerabilities (SQL injection, XSS, etc.)
- No hardcoded secrets or credentials
- Performance considerations addressed
- Edge cases handled
- Tests included (if applicable)
- Documentation is clear
Examples
Example 1: Identifying Security Issue
Input:
def get_user(user_id):
query = f"SELECT * FROM users WHERE id = {user_id}"
return db.execute(query)
Output:
⚠️ Security Issue: SQL Injection Vulnerability
The current code is vulnerable to SQL injection attacks because it uses string formatting to build the SQL query.
Recommended fix:
```python
def get_user(user_id):
query = "SELECT * FROM users WHERE id = ?"
return db.execute(query, (user_id,))
Example 2: Code Quality Improvement
Input:
function calc(a, b, op) {
if (op == 'add') return a + b;
if (op == 'sub') return a - b;
if (op == 'mul') return a * b;
if (op == 'div') return a / b;
}
Output:
💡 Improvement: Use more descriptive names and handle edge cases
Suggested refactoring:
```javascript
function calculate(operand1, operand2, operation) {
const operations = {
'add': (a, b) => a + b,
'subtract': (a, b) => a - b,
'multiply': (a, b) => a * b,
'divide': (a, b) => {
if (b === 0) throw new Error('Division by zero');
return a / b;
}
};
if (!operations[operation]) {
throw new Error(`Unknown operation: ${operation}`);
}
return operations[operation](operand1, operand2);
}
Notes
- Prioritize security issues and critical bugs
- Be constructive and specific in feedback
- Provide examples when suggesting improvements
- Consider the context and constraints of the project
- Balance thoroughness with practicality
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
skill-name
A clear description of when this skill should activate and what it does
pyspark-test-generator
Generate comprehensive PySpark-based data quality validation tests for Databricks tables. Use when creating automated tests for data completeness, accuracy, consistency, and conformity, or when user mentions test generation, data validation, quality monitoring, or PySpark test frameworks.
documentation-writer
Activates when creating or improving technical documentation, READMEs, and API docs
data-profiler
Profile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet), discovering dataset properties, assessing data quality, or when user mentions data profiling, schema detection, data analysis, or quality metrics. Provides basic and intermediate profiling including distributions, uniqueness, and pattern detection.
test-generator
Activates when generating unit tests, integration tests, or test cases for code
unity-catalog-tagger
Manage Unity Catalog metadata tags for data governance and classification. Use when applying tags to tables and columns, classifying data sensitivity (PII, PHI), marking data quality attributes, or when user mentions Unity Catalog tagging, metadata management, data governance, or compliance workflows.
Didn't find tool you were looking for?