Cloudflare has published security-audit-skill, an open-source coding-agent skill on GitHub that coordinates reconnaissance, vulnerability hunting, validation, reporting, structured output, and independent verification for software security reviews.
Cloudflare has released an open-source coding-agent skill designed to help AI coding tools perform structured security audits.
Cloudflare’s GitHub repository, titled “security-audit-skill,” describes the project as “a coding-agent skill for multi-phase security audits with independently verified, machine-readable findings.” The repository says the skill is intended to turn a compatible coding agent into a security auditor by coordinating several distinct stages: reconnaissance, vulnerability hunting, validation, reporting, structured output, and independent verification.
Cloudflare’s documentation frames the tool around practical exploitability rather than broad static review. The repository description says the skill is meant to find “exploitable vulnerabilities,” and its design emphasizes confirmation steps before findings are reported.
According to the Cloudflare GitHub project, the skill begins with reconnaissance, where the agent studies the target codebase and identifies areas likely to contain security-relevant behavior. It then runs parallel vulnerability-hunting work, followed by validation intended to check whether suspected issues are real and exploitable.
The project also includes a reporting stage and a structured-output stage. Cloudflare’s repository describes the output as machine-readable, which is useful for teams that want security findings in a consistent format rather than only free-form prose.
A final independent-verification stage is also part of the design. Cloudflare’s GitHub description says the skill uses independently verified findings, and third-party mirrors of the repository, including SourceForge and codeKK, summarize the same sequence of reconnaissance, parallel hunting, validation, reporting, schema checking, and independent validation.
Cloudflare also discussed the release in its blog post, “Build your own vulnerability harness.” In that post, Cloudflare says it is releasing the initial security-audit skill that helped seed its later model-agnostic vulnerability-discovery harness.
The Cloudflare blog maps the skill’s stages to a broader harness approach: reconnaissance, vulnerability hunting, validation, reporting, schema checking, and independent validation. The blog positions the skill as a reusable building block for security testing workflows that can be used with different coding agents and models, rather than as a tool tied to a single model provider.
The codeKK mirror of the Cloudflare project notes that the skill is designed for environments with support for parallel sub-agents and installation through the Skills CLI. It also highlights design principles from the repository, including adversarial validation and reporting focused on exploitability.
Those requirements mean the skill is not simply a standalone scanner. Based on Cloudflare’s own description, it is a coordination layer for coding-agent environments that can delegate tasks, compare results, and produce structured findings.
AI coding assistants are increasingly being used not only to write code but also to inspect it. Cloudflare’s security-audit-skill is notable because it applies that model to security review with explicit validation and independent checking steps, rather than relying only on a single pass over source code.
The release also reflects a broader shift toward model-agnostic AI tooling. Cloudflare’s blog describes the security-audit skill as an initial component behind a vulnerability-discovery harness, suggesting the company is exploring repeatable ways to evaluate and use multiple AI systems for security research.
Cloudflare’s public materials do not claim the skill replaces human security reviewers. The repository and blog instead present it as a structured aid for finding and validating vulnerabilities in codebases, with an emphasis on exploitable findings and machine-readable reports.
Cloudflare has released an open source coding agent skill designed to help AI coding tools perform structured security audits.
Cloudflare’s documentation frames the tool around practical exploitability rather than broad static review.
The repository description says the skill is meant to find “exploitable vulnerabilities,” and its design emphasizes confirmation steps before findings are reported.
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