Audit codebases for secrets, vulnerabilities, dead code, and insecure patterns.
npx skills add https://github.com/AutumnsGrove/Lattice --skill raccoon-audit
Please help me install this Agent Skill. Skill: raccoon-audit Source: https://github.com/AutumnsGrove/Lattice/tree/main/.claude/skills/raccoon-audit Command: npx skills add https://github.com/AutumnsGrove/Lattice --skill raccoon-audit
This Skill meticulously inspects codebases for security vulnerabilities, exposed secrets, and unnecessary clutter, ensuring a clean and secure state before deployment or release.
Run a full security audit on the current project to find and fix any issues.
High-intent search queries and answers about installing and using this skill.
A codebase security audit identifies exposed credentials by rummaging for hardcoded API keys, passwords, and tokens. It checks for insecure coding practices and dependency flaws to ensure a clean state before deployment or open-source release.
Removing sensitive data from git history involves purging exposed credentials and secrets from commit logs. A comprehensive security audit sanitizes code and verifies a clean state to prevent accidental information leakage when sharing repositories publicly.
Yes, vulnerability scanning checks project dependencies for known security flaws. The audit addresses dependency risks alongside dead code and debug flags, ensuring insecure patterns are sanitized before you proceed with deployment.
Code sanitization removes dead code, debug flags, and insecure coding patterns from the codebase. Conducting a pre-deployment security audit verifies that all sensitive data is purged and the project maintains a secure, clean state.
No external dependencies are required to perform a comprehensive security audit. The Skill autonomously handles secret detection, vulnerability scanning, code sanitization, and git history cleaning using its internal scripts and reference components.
An automated security audit handles post-incident cleanup by meticulously inspecting code, purging sensitive data from history, and verifying a clean state. It addresses exposed credentials and insecure patterns to restore project integrity.
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