skills.rest
3stoneBrother3stoneBrotherCommunity·2 Agent Skills Included

code-audit

Deep AI security audits that find real code vulnerabilities

Audits source code across 9 languages and 14 frameworks to find SQL injection, RCE, SSRF, and 55+ other vulnerability types. Eliminates false positives by forcing the agent to verify every finding against actual files and real code lines. Runs quick, standard, or deep multi-agent scans and chains small flaws into full attack paths with clear reports.
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npx skills add 3stoneBrother/code-audit --all -g -y
Available:

Instructs the AI agent on how to run security audits step by step, including anti-hallucination rules, attack-chain reasoning, scan modes, and which reference modules to load per tech stack.

All Skills in This Repository (2)

Pure Emerald Level Indicators
📦 In Repo
3stoneBrother3stoneBrother

code-audit

Identifies and verifies security vulnerabilities in source code via white-box analysis.

Community
Advanced
📦 In Repo
3stoneBrother3stoneBrother

code-audit

Audit source code for security vulnerabilities across nine languages using dual-track static analysis.

Community
Advanced

Frequently Asked Questions

FAQPage Schema
How to install code-audit?▼

Run `npx skills add 3stoneBrother/code-audit --all -g -y` in your terminal to install the skill globally for your AI agent.

What vulnerabilities can code-audit find?▼

It detects 55+ vulnerability types including SQL injection, RCE, deserialization, SSRF, XSS, and business logic flaws across 9 programming languages.

How do I run a security audit with AI?▼

Just ask your agent to 'audit this project' or use /code-audit, then pick quick, standard, or deep mode depending on how thorough you need the scan to be.

Does code-audit work with Claude Code?▼

Yes. It is built for Claude Code and follows the standard SKILL.md format, so it also works with compatible agents like Cursor and Codex.

How does code-audit avoid false positives?▼

It enforces strict anti-hallucination rules: every reported issue must be verified against real files and actual code read by the agent, never guessed from typical project structures.

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