AIAny
AI Coding2025
Icon for item

Claude Code Security Reviewer

Reviews each pull request for security issues: Claude reads the diff and flags vulnerabilities like injection, auth flaws, and hardcoded secrets as inline comments, with built-in false-positive filtering. Ships as a GitHub Action or slash command.

Introduction

Static analyzers catch the patterns they were taught and then bury the signal under false positives. This tool takes the opposite bet: hand Claude the pull request diff and let it reason about whether a change is actually exploitable in context, not just whether it matches a known-bad shape. The payoff is fewer "technically a finding" comments and more that a reviewer would actually act on.

What Sets It Apart
  • Reasons over the diff semantically instead of grepping for signatures, so it surfaces logic-level issues — auth bypass, privilege escalation, unsafe deserialization — that rule sets miss, while skipping risky-looking constructs that aren't reachable.
  • Posts findings as inline PR comments with severity and a why/how-to-fix note, so security context lands where the code is read rather than in a separate dashboard.
  • Ships two ways: a GitHub Action that scans only the changed files on each PR, and a /security-review slash command for Claude Code, so the same engine works in CI and at the desk.
  • Filtering is opinionated — it drops whole classes by default (DoS, rate limiting, generic input validation without proven impact, open redirects) and the exclusions are configurable.
Great Fit If / Look Elsewhere If

Great fit if you want a reviewer-grade second pass on changed code and care more about actionable findings than exhaustive coverage. Look elsewhere if you need a hardened gate on untrusted contributions: it isn't built to resist prompt injection, so Anthropic recommends restricting it to trusted PRs. It also reviews diffs, not whole repositories, so pre-existing debt outside the change goes unflagged.

Information

  • Websitegithub.com
  • AuthorsAnthropic
  • Published date2025/08/04

Categories

More Items

GitHub
AI Coding2025

Runs many shells inside one terminal and treats coding agents as first-class panes. Combines daemon-backed persistent sessions, vim-style modal control, BSP tiling, a session rail and an Inbox that surfaces approvals, questions and finished turns from LLM-based coding agents — useful when you run and manage agent workflows alongside shells.

GitHub
AI Coding2026

Provides a rule set and agent skill that lets AI coding assistants review and improve SwiftUI code for modern APIs, performance, accessibility, and maintainability. Packs checks for deprecated APIs, data flow, navigation, and accessibility tailored to mistakes LLMs commonly make.

GitHub

Indexes a repository into a local, queryable index (graph, git, docs, decisions, code health) and exposes task-shaped MCP tools so coding agents and developers get cited answers, symbol-level blast radius, test impact, refactoring plans and dead-code detection; self-hosted (AGPL-3.0) and needs no API key for deterministic analysis.