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CloudflareSecurityAuditSkill

Dennis Lee edited this page Sep 20, 2026 · 1 revision

title: cloudflare/security-audit-skill type: tool created: 2026-09-20 last_updated: 2026-09-20 related: ["Agent-Orchestrated Codebase Audit", "Self-Hosted Application Security Review"] sources: ["https://github.com/cloudflare/security-audit-skill"] radar_quadrant: Tools radar_ring: Assess radar_position: inner

cloudflare/security-audit-skill

A single AI pass over a codebase tends to produce security findings that nobody has checked, so reviewers waste time on false alarms. cloudflare/security-audit-skill is an installable coding-agent skill that runs a structured audit in which the agent that finds a problem is never the agent that confirms it.

The Six Phases

The skill maps the architecture and trust boundaries, assigns isolated agents to hunt through coverage units, gives each candidate to a fresh agent that tries to disprove it, writes structured results, has further independent agents verify the source claims, and finally derives human-readable reports. Its own README says it seeded Cloudflare's internal vulnerability discovery harness.

Verdicts and Repeat Runs

Every finding is recorded as confirmed, needs_validation or rejected, and small validator scripts check the result files against a JSON schema. Repeat runs are additive, and the README reports that in its test runs a single run found roughly half of what repeated runs found in total.

Requirements

It needs a coding agent that supports tool use and parallel sub-agents, Node.js for the validators, and an OS-enforced sandbox before any target code is run. Without a sandbox, the skill leaves such leads as needs_validation instead of executing them.

Radar Assessment

The skill is placed in Assess. The repository is MIT-licensed, had about 17,400 stars and 44 open issues when checked, and comes from a well-known security vendor, but that is external evidence and not first-person use. It is worth exploring as a reference design for verified, machine-readable AI security review.

References

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