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Tags: Static analysis
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1–24 of 35 · Most stars

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.

✂️ Find unused files, dependencies and exports in your JavaScript and TypeScript projects. Knip it before you ship it!

  • dependency-analysis
  • lint
  • maintenance
  • typescript

Copy/paste detector for source code. 220+ languages, Rust engine, SARIF/HTML/badge reporters, GitHub Action, MCP server for AI agents.

Succinct Compositional Program Graph (SCPG) static analysis engine & 14-diagram UML generator in Rust.

  • code-property-graph
  • compiler-theory
  • program-analysis
  • robdd

Mago is a toolchain for PHP that aims to provide a set of tools to help developers write better code.

  • code-analyzer
  • code-style
  • coding-standards
  • formatter

DevSkim is a set of IDE plugins, language analyzers, and rules that provide security "linting" capabilities.

plpgsql_check is a linter tool (does source code static analyze) for the PostgreSQL language plpgsql (the native language for PostgreSQL store procedures).

MARA is a Mobile Application Reverse engineering and Analysis Framework. It is a toolkit that puts together commonly used mobile application reverse engineering and analysis tools to assist in testing mobile applications against the OWASP mobile security threats.

Static Application Security Testing (SAST) engine focused on covering the OWASP Top 10, to make source code analysis to find vulnerabilities right in the source code, focused on a agile and easy to implement software inside your DevOps pipeline. Support the following technologies: Java (Maven and Android), Kotlin (Android), Swift (iOS), .NET Full Framework, C#, and Javascript (Node.js).

Identifies and prioritizes Class and Package Cycles and Anti-pattens in Java & Kotlin codebases you should refactor first.

  • maven-plugin
  • maven
  • java
  • report

Turn any codebase into a knowledge graph grounded in formal methods. Your AI agents get exact answers for any code-related task, ensure correctness, and optimize time and token usage.