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code-reviewer

code-reviewer

Perform thorough code reviews with actionable, prioritized feedback. Use when a user asks to review code, check code quality, find bugs, review a pull request, audit code for issues, or get feedback on implementation. Covers correctness, security, performance, readability, and best practices across languages.

Independent GitHub snapshot · Automated classification · Original documentation governs

Tterminalskills / skillsApache-2.0

Skill 문서

GitHub

name: code-reviewer description: >- Perform thorough code reviews with actionable, prioritized feedback. Use when a user asks to review code, check code quality, find bugs, review a pull request, audit code for issues, or get feedback on implementation. Covers correctness, security, performance, readability, and best practices across languages. license: Apache-2.0 compatibility: "Works with any programming language" metadata: author: terminal-skills version: "1.1.0" category: development tags: ["code-review", "quality", "bugs", "security", "best-practices"]

Code Reviewer

Overview

Perform structured code reviews that identify bugs, security issues, performance problems, and maintainability concerns. Provides prioritized, actionable feedback with specific fix suggestions.

Instructions

When a user asks you to review code, a file, a diff, or a pull request, follow this process:

Step 1: Understand the context

Before reviewing, determine:

  • What does this code do? (feature, bugfix, refactor)
  • What language and framework is it using?
  • Are there tests included?
  • Is this a full file or a diff/patch?

Read surrounding files if needed to understand the broader codebase context. Get the change itself with git diff main...HEAD (local branch) or gh pr diff 482 (pull request), and run the project's own linter and test command first so the review does not repeat what tooling already reports.

Step 2: Review using this checklist

Evaluate the code against each category in order of severity:

Correctness (Critical)

  • Logic errors, off-by-one mistakes, wrong conditions
  • Unhandled null/undefined/empty cases
  • Race conditions or concurrency issues
  • Incorrect error handling (swallowed exceptions, wrong error types)
  • Missing input validation

Security (Critical)

  • SQL injection, XSS, command injection
  • Hardcoded secrets, API keys, passwords
  • Improper authentication/authorization checks
  • Unsafe deserialization, path traversal
  • Missing rate limiting on public endpoints

Performance (High)

  • N+1 queries in database loops
  • Unnecessary re-renders in UI components
  • Missing indexes for frequent queries
  • Unbounded memory growth (loading entire datasets)
  • Blocking operations on the main thread

Reliability (High)

  • Missing error handling for external calls (network, file I/O)
  • No retry logic for transient failures
  • Missing timeouts on HTTP requests
  • Resource leaks (unclosed connections, file handles)

Readability (Medium)

  • Unclear variable or function names
  • Functions doing too many things (> 30 lines is a smell)
  • Deeply nested conditionals (> 3 levels)
  • Missing or misleading comments
  • Inconsistent naming conventions

Testing (Medium)

  • Missing tests for new logic
  • Tests that do not assert meaningful behavior
  • Missing edge case coverage
  • Brittle tests coupled to implementation details

Step 3: Format the review

Organize findings by severity. For each issue:

### [SEVERITY] Category: Brief title

**File:** `src/routes/users.js` line 12-18

**Issue:** What is wrong and why it matters.

**Suggestion:**
(a fenced code block in the file's language with the fixed code)

Severity levels: CRITICAL, HIGH, MEDIUM, LOW. Tag each finding by how sure you are (confirmed by reading the code, or suspected and needs a check).

Step 4: Provide a summary

End with:

  • Overall assessment (approve, request changes, or needs discussion)
  • Count of issues by severity
  • Top 3 things to fix before merging

Examples

Example 1: Review a Node.js API endpoint

User request: "Review this Express route handler"

Code submitted:

app.post('/users', async (req, res) => {
  const { name, email, role } = req.body;
  const user = await db.query(
    `INSERT INTO users (name, email, role) VALUES ('${name}', '${email}', '${role}')`
  );
  res.json(user);
});
// db is a node-postgres Pool; the handler runs under Express 4

Review output:

### CRITICAL Security: SQL Injection vulnerability

**File:** routes/users.js line 2-5

**Issue:** User input is interpolated directly into the SQL query string.
An attacker can inject arbitrary SQL via the name, email, or role fields.

**Suggestion:**
    const user = await db.query(
      'INSERT INTO users (name, email, role) VALUES ($1, $2, $3)',
      [name, email, role]
    );

### CRITICAL Security: No input validation

**File:** routes/users.js line 2

**Issue:** Request body fields are used without validation. Missing or
malformed data will cause database errors or store invalid records.

**Suggestion:**
    if (!name || !email || !email.includes('@')) {
      return res.status(400).json({ error: 'Name and valid email required' });
    }
    const allowedRoles = ['user', 'admin', 'editor'];
    if (!allowedRoles.includes(role)) {
      return res.status(400).json({ error: 'Invalid role' });
    }

### HIGH Reliability: No error handling

**File:** routes/users.js line 3-5

**Issue:** In Express 4 a rejected promise in an async handler is not
caught: the request hangs and the rejection can crash the process
(Express 5 forwards it to the error handler).

**Suggestion:**
    try {
      const { rows } = await db.query(
        'INSERT INTO users (name, email, role) VALUES ($1, $2, $3) RETURNING id, name, email, role',
        [name, email, role]
      );
      res.status(201).json(rows[0]);
    } catch (err) {
      console.error('Failed to create user:', err);
      res.status(500).json({ error: 'Failed to create user' });
    }

Summary: REQUEST CHANGES
- Critical: 2, High: 1, Medium: 0
- Fix SQL injection and add input validation before merging

Example 2: Review a React component

User request: "Review this component for any issues"

Code submitted:

function UserList({ users }) {
  const [search, setSearch] = useState('');

  const filtered = users.filter(u =>
    u.name.toLowerCase().includes(search.toLowerCase())
  );

  return (
    <div>
      <input onChange={e => setSearch(e.target.value)} />
      {filtered.map(user => (
        <div>{user.name} - {user.email}</div>
      ))}
    </div>
  );
}

Review output:

### MEDIUM Performance: Filtering runs on every render

**Issue:** The filter recalculates on every render, even when unrelated
state changes. Only worth fixing for large lists; with the React Compiler
enabled it is memoized automatically, so check the build config first.

**Suggestion:**
    const filtered = useMemo(() =>
      users.filter(u =>
        u.name.toLowerCase().includes(search.toLowerCase())
      ), [users, search]);

### MEDIUM Readability: Missing key prop on list items

**Issue:** React requires a unique key prop on list items for efficient
reconciliation. Missing keys cause incorrect re-renders and warnings.

**Suggestion:**
    {filtered.map(user => (
      <div key={user.id}>{user.name} - {user.email}</div>
    ))}

### LOW Readability: Missing input label and placeholder

**Issue:** The search input has no label or placeholder, making it
unclear what the input is for and inaccessible to screen readers.

**Suggestion:**
    <label htmlFor="user-search">Search users</label>
    <input
      id="user-search"
      placeholder="Search by name..."
      onChange={e => setSearch(e.target.value)}
    />

Summary: APPROVE with suggestions
- Critical: 0, High: 0, Medium: 2, Low: 1
- Add key prop and useMemo before merging

Guidelines

  • Focus on issues that matter. Do not nitpick formatting if there is a linter configured.
  • Always explain WHY something is a problem, not just what to change.
  • Provide concrete fix suggestions, not just "this could be improved."
  • Acknowledge what the code does well. Reviews should not be exclusively negative.
  • When reviewing diffs, focus on changed lines but check context for integration issues.
  • For large PRs (500+ lines), start with an architectural overview before line-by-line review.
  • If you are unsure about a finding, say so. Do not present uncertain issues as definitive.
  • Do not run or modify the code under review beyond the project's own test and lint commands, and never paste secrets found in the diff into the report; cite file and line instead.
  • Prioritize: fix all CRITICALs, fix HIGH before merge, MEDIUM/LOW can be follow-up tasks.
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