Static Analysis Tools Skill
Integration with security-focused static analysis tools
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/static-analysis-tools-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Static Analysis Tools Skill Compares
| Feature / Agent | Static Analysis Tools Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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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