This GitHub Action leverages Anthropic's Claude Code to perform AI-powered security reviews on code changes within pull requests. It targets developers and security teams seeking intelligent, context-aware analysis to identify vulnerabilities beyond traditional SAST methods, aiming to reduce false positives and provide actionable remediation guidance.

How It Works

The action analyzes code diffs within pull requests, utilizing Claude's semantic understanding to detect a wide range of vulnerabilities, including injection attacks, authentication flaws, and business logic errors. It automatically comments on PRs with findings, offering detailed explanations and remediation advice. Advanced filtering is employed to minimize noise from low-impact or false-positive-prone issues, with options for customization via user-provided instructions.

Quick Start & Requirements

• Install via GitHub Actions workflow: Add the provided YAML to .github/workflows/security.yml.
• Prerequisites: secrets.CLAUDE_API_KEY (Anthropic Claude API key).
• Official Docs: https://github.com/anthropics/claude-code-security-review

Highlighted Details

• AI-powered analysis with deep semantic understanding.
• Diff-aware scanning for pull requests.
• Automatic PR comments with findings.
• Detects a broad spectrum of vulnerabilities including injection, auth flaws, data exposure, and XSS.
• Advanced false positive filtering for common issues like DoS and rate limiting concerns.

Maintenance & Community

• Primarily maintained by Anthropic.
• Support via GitHub Issues.

Licensing & Compatibility

• MIT License.
• Compatible with commercial and closed-source projects.

Limitations & Caveats

The run-every-commit option may increase false positives on PRs with numerous commits. Customization of scanning and filtering requires manual configuration file management.