coderabbit-data-handling

CodeRabbit Data Handling

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Install skill "coderabbit-data-handling" with this command: npx skills add jeremylongshore/claude-code-plugins-plus-skills/jeremylongshore-claude-code-plugins-plus-skills-coderabbit-data-handling

CodeRabbit Data Handling

Overview

Manage code review data and sensitive patterns with CodeRabbit. Covers secret detection in PRs, sensitive file exclusion from AI review, review comment data retention, and configuring what code context gets sent to the AI engine.

Prerequisites

  • CodeRabbit installed on repository

  • Understanding of sensitive file patterns

  • Repository admin access for configuration

  • Secret scanning tools awareness

Instructions

Step 1: Exclude Sensitive Files from Review

.coderabbit.yaml - Data handling configuration

reviews: path_filters: # Never send these to AI review - "!/.env*" - "!/credentials*" - "!/secrets*" - "!/.pem" - "!**/.key" - "!/*.p12" - "!/serviceAccountKey*" - "!/terraform.tfstate*" - "!/*.tfvars"

# Exclude large generated files
- "!**/package-lock.json"
- "!**/pnpm-lock.yaml"
- "!**/yarn.lock"
- "!**/*.generated.*"
- "!**/dist/**"
- "!**/coverage/**"

Step 2: Secret Detection Instructions

.coderabbit.yaml - Instruct AI to flag secrets

reviews: path_instructions: - path: "**" instructions: | CRITICAL: Flag any of these patterns as HIGH SEVERITY: - Hardcoded API keys, tokens, or passwords - AWS access keys (AKIA...) - Private keys or certificates - Database connection strings with credentials - JWT secrets or signing keys - Webhook URLs with tokens in query params

    If you find any secrets, add a comment:
    "SECURITY: Hardcoded secret detected. Move to environment variable."

- path: "**/*.{yml,yaml}"
  instructions: |
    Check CI/CD files for:
    - Secrets logged in step names or echo statements
    - Unpinned GitHub Actions (use SHA, not tags)
    - Missing secret masking in outputs

Step 3: Review Data Scope Management

Control what context CodeRabbit accesses

reviews: auto_review: enabled: true drafts: false # Don't review draft PRs (may contain WIP secrets) base_branches: - "main" - "develop" ignore_title_keywords: - "WIP" - "DO NOT REVIEW" - "DRAFT"

Limit file types reviewed

path_filters: # Only review source code, not data - "+src/" - "+lib/" - "+app/" - "+tests/" - "+.github/" - "!/.csv" - "!**/.json" # Exclude data files - "!/fixtures/" # Exclude test fixtures with sample data - "!/seeds/" # Exclude database seeds

Step 4: Sensitive Code Pattern Detection

.coderabbit.yaml - Custom pattern detection

reviews: path_instructions: - path: "src/db/**" instructions: | Review database code for: - SQL injection vulnerabilities (string concatenation in queries) - Unparameterized queries - PII logged in error messages - Missing data sanitization on inputs

- path: "src/api/**"
  instructions: |
    Review API endpoints for:
    - User input not validated before processing
    - Sensitive data in response bodies (passwords, tokens)
    - Missing authentication checks
    - Overly permissive CORS configuration
    - PII in URL parameters (should be POST body instead)

- path: "src/auth/**"
  instructions: |
    SECURITY-CRITICAL PATH. Review for:
    - Token expiry configuration
    - Password hashing (must use bcrypt/argon2, never MD5/SHA)
    - Session fixation vulnerabilities
    - CSRF protection

Error Handling

Issue Cause Solution

Secret in reviewed PR Not in exclusion list Add pattern to path_filters

Large diff reviewed Generated code included Exclude generated file paths

Sensitive fixture data Test data has real PII Exclude fixtures directory

Review on draft PR drafts setting enabled Set drafts: false

Examples

Minimal Secure Configuration

.coderabbit.yaml - Security-focused setup

reviews: auto_review: enabled: true drafts: false path_filters: - "!/.env*" - "!/.key" - "!**/.pem" - "!/secrets/" path_instructions: - path: "**" instructions: "Flag any hardcoded secrets, API keys, or credentials."

Resources

  • CodeRabbit Configuration

  • CodeRabbit Path Filters

Output

  • Configuration files or code changes applied to the project

  • Validation report confirming correct implementation

  • Summary of changes made and their rationale

Source Transparency

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