An AI-powered GitHub Action using Claude for semantic security code reviews.
Detect security vulnerabilities in pull requests using Claude's deep semantic understanding.
This GitHub Action runs Anthropic's Claude Code to analyze pull request diffs for security vulnerabilities. It is built for development teams wanting automated, context-aware security scans directly inside their CI/CD pipelines.
It parses pull request diffs and passes them to Claude for deep semantic security analysis, checking for injection attacks, authentication flaws, and cryptographic issues. Findings are posted directly as line-specific PR comments, complete with explanations and remediation guidance.
It suits development teams using GitHub Actions who want automated AI security reviews that understand code context beyond static patterns. It is not suitable for teams without a Claude API budget or those merging untrusted fork PRs without strict approval gates.
Only analyzes changed files in pull requests to keep reviews targeted and fast.
Built-in filtering logic removes low-impact findings like denial of service or rate limiting noise.
Includes a `/security-review` command for local development environments via Claude Code.
Allows appending custom security audit prompts and filtering rules via text files.
Free under its open source licence, but running it incurs costs based on your Anthropic Claude API usage for every pull request scan.
767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
These reviewed AI tools do the same job instantly — from our scored directory.
It requires pull-requests write permission to leave comments and contents read permission to fetch the code.
Yes, the action includes advanced built-in filtering and supports custom false positive instruction files.
It can run on forks, but the README strongly recommends requiring manual approval for external contributor workflows due to prompt injection risks.
See Zekai first in Google