GoKawiilCloudflare open-sources a repo skill that automates security audits with isolated AI agents
Cloudflare released Security-Audit-Skill, a coding-agent tool that runs a six-phase security audit: mapping a codebase's architecture and attack surface, assigning isolated 'hunter' agents to search for vulnerabilities against a coverage ledger, validating candidates with skeptical verifier agents, and producing structured reports categorized as confirmed, needs_validation, or rejected. It served as the original single-repo prototype that Cloudflare later expanded into its larger, fleet-wide vulnerability discovery harness.
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The project shows how AI agents can be organized into adversarial, checks-and-balances roles—hunters, critics, and verifiers—to reduce the false positives and hallucinated findings that plague single-agent security reviews. By open-sourcing the underlying skill rather than just describing the harness, Cloudflare gives other teams a reusable, auditable starting point for building their own automated vulnerability-hunting pipelines.
- The skill uses multiple isolated AI agents in sequence: reconnaissance, hunting, validation, and independent verification.
- Findings are strictly categorized as confirmed, needs_validation, or rejected, each with defined evidentiary requirements.
- It's the origin point of Cloudflare's larger fleet-wide vulnerability discovery harness, now released as a standalone open-source tool.
Source: github.com, 2026-09-17
Published there as: “Cloudflare/Security-Audit-Skill”
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