# Cloudflare's AI security auditor skill

> Open-source tool that turns coding agents into systematic security auditors with verified findings and machine-readable reports.
- Title: Cloudflare's AI security auditor skill · GitHub | Shortify
- Summary: Open-source tool that turns coding agents into systematic security auditors with verified findings and machine-readable reports. This skill automates…
- Keywords: cloudflare, security-audit-skill, coding agents, vulnerability discovery, ai security, machine-readable findings, open source, github, security automation, independent verification, technology, startups
- Source: GitHub — https://github.com/cloudflare/security-audit-skill
- Read time: 1 min
- Topics: cloudflare, security-audit-skill, coding agents, vulnerability discovery, ai security, machine-readable findings, open source, github, security automation, independent verification, technology, startups
## AI agent becomes security auditor
Cloudflare released security-audit-skill, an open-source tool that transforms coding agents into systematic security auditors. It orchestrates isolated agents through six structured phases to find and verify vulnerabilities.
## Six-phase audit workflow
The skill runs reconnaissance to map architecture, coverage-led hunting to find gaps, candidate validation to test findings, structured output to categorize results, independent verification of claims, and target-neutral reporting.
## Three verdict categories
Findings are marked confirmed (complete source trace and bounded result), needs-validation (exact unresolved fact, no severity), or rejected (disproved candidate). This prevents false positives and keeps uncertain leads transparent.
## Adversarial validation prevents bias
The agent that validates a finding is never the agent that found it. This independent verification approach ensures findings are genuinely sound, not just plausible to their discoverer.

> Adversarial validation. The agent that checks a finding is never the agent that found it.
## Repeated runs find more vulnerabilities
Multiple audit runs against the same codebase are additive. Test runs showed a single pass found roughly half the vulnerabilities that repeated runs discovered in total, making iteration valuable.

> In our test runs, a single run found roughly half of the vulnerabilities that repeated runs found in total.
## Easy installation and activation
Install via npm with a single command, then ask your agent to audit code. The skill auto-activates on security-related requests and outputs findings to JSON files with schema validation.
## Sandbox required for safe execution
The skill needs an OS-enforced sandbox that disables external networking, limits resources, and restricts file writes. Without these controls, findings stay marked needs-validation instead of executing target code.
## Key takeaway

This skill automates multi-phase security audits by orchestrating isolated AI agents through reconnaissance, hunting, validation, and independent verification to produce trustworthy vulnerability reports.