Static Analysis Tools Skill

Integration with security-focused static analysis tools

509 stars

Best use case

Static Analysis Tools Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Integration with security-focused static analysis tools

Teams using Static Analysis Tools Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/static-analysis-tools/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/security-research/skills/static-analysis-tools/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/static-analysis-tools/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Static Analysis Tools Skill Compares

Feature / AgentStatic Analysis Tools SkillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Integration with security-focused static analysis tools

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Static Analysis Tools Skill

## Overview

This skill provides integration with security-focused static analysis tools for comprehensive code security analysis.

## Capabilities

- Execute Semgrep rules and custom patterns
- Run CodeQL queries for vulnerability detection
- Execute Bandit (Python), Brakeman (Ruby), etc.
- Parse and interpret static analysis results
- Generate custom detection rules
- Aggregate findings across tools
- Map findings to CWE/CVE identifiers
- Support SAST pipeline integration

## Target Processes

- static-code-analysis.js
- variant-analysis.js
- web-app-vuln-research.js
- api-security-research.js

## Dependencies

- Semgrep CLI
- CodeQL CLI and databases
- Language-specific analyzers:
  - Bandit (Python)
  - Brakeman (Ruby)
  - gosec (Go)
  - SpotBugs (Java)
- Python for result aggregation

## Usage Context

This skill is essential for:
- Security code review automation
- Vulnerability pattern detection
- Custom security rule development
- CI/CD security gate integration
- Variant analysis across codebases

## Integration Notes

- Supports multiple output formats (SARIF, JSON, custom)
- Can run incrementally on changed files
- Integrates with IDE and CI/CD workflows
- Custom rules can be version controlled
- Results can be deduplicated and triaged

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