code review risk auditor

    1

    Review code changes for security, performance, and logic defects using path-tracing and impact-based risk ranking.

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    code review risk auditor

    Example session with this skill installed

    Review the changes in this commit for security and performance risks: I added a new user search endpoint that queries the database using a raw string and returns the full user object.

    • Read your context and instructions
    • Compiled the code review risk
    • Generated the document

    I have audited the code changes for the user search endpoint. The review identified a critical security vulnerability and a high-impact performance bottleneck.

    Risk Audit Report

    #CategoryImpactConfidenceFile:LineIssue
    1SecurityCriticalVerifiedapi/users.ts:42SQL Injection via raw string interpolation
    2PerformanceHighProbabledb/query.ts:15N+1 query pattern in search results
    3MaintainabilityLowPossibleapi/users.ts:45Hardcoded page size limit

    Detailed Findings

    1. SQL Injection Vulnerability

    • Classification: Verified Issue
    • Risk Level: Critical
    • Affected Path: GET /search?q={input} -> searchUsers(input) -> db.execute()
    • Evidence: const query = 'SELECT * FROM users WHERE name = ' + input;
    • Proposed Fix:
    const query = 'SELECT * FROM users WHERE name = ?';
    return db.execute(query, [input]);
    
    • Rationale: Using parameterized queries prevents user input from being executed as SQL commands.

    2. Full Object Exposure

    • Classification: Context-Dependent Concern
    • Risk Level: High
    • Affected Path: searchUsers returns User[] including password_hash and secret_key.
    • Evidence: SELECT * returns all columns to the client.
    • Proposed Fix:
    const query = 'SELECT id, username, email FROM users WHERE name = ?';
    
    • Rationale: Reduces payload size and prevents accidental leakage of sensitive internal fields.

    Summary Statistics

    • Total Findings: 3
    • Risk Distribution: 1 Critical, 1 High, 1 Low
    • Recommended Actions:
      • Must-fix: Address the SQL injection immediately.
      • Should-fix: Implement column projection to limit data exposure.

    Next steps

    • Apply the parameterized query fix to the search endpoint.
    • Define a Data Transfer Object (DTO) for the user response.
    • Add an integration test for SQL injection payloads.

    code-review-risk-auditor.pdf

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    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Identify SQL injection and auth bypass vulnerabilities in new PRs.Detect N+1 query patterns and O(n2) logic in backend changes.Map execution paths to catch regressions in refactored code.Rank findings by confidence to filter out LLM hallucinations.

    About this skill

    The problem

    Pull requests often harbor hidden regressions, concurrency bugs, and performance bottlenecks that standard linters miss. Manual reviews are time-consuming and prone to missing edge cases in complex execution paths.

    What it does

    • Analyzes intended behavior against actual implementation to find logic gaps.
    • Traces execution paths and dependency propagation to identify blast radius.
    • Detects edge cases including race conditions, null dereferences, and O(n²) patterns.
    • Ranks findings by impact and confidence levels to prioritize critical fixes.
    • Provides minimal, targeted code snippets to resolve identified defects.

    Why this beats prompting it yourself

    Generic prompts often hallucinate issues or provide vague architectural advice. This skill uses a structured risk-ranking framework and path-tracing logic to distinguish between verified bugs and context-dependent concerns, ensuring you only act on high-signal feedback.

    Use cases

    • Reviewing security-critical PRs for injection risks or auth bypasses.
    • Auditing legacy code refactors for behavioral regressions.
    • Identifying memory leaks and unnecessary allocations in performance-sensitive paths.
    • Evaluating third-party PRs for maintainability and naming convention alignment.

    Known limitations

    Requires enough code context to trace call chains. Large diffs without commit messages may reduce the accuracy of behavioral inference.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Unzip into your skills folder

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    Verified clean 14 days ago

    • Passed all security checks, Safe to install

    Listed14 days ago

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