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Anthropic's open-source framework for AI-powered vulnerability discovery

This is a reference framework from Anthropic for evaluating AI models' ability to discover code vulnerabilities, offering specific value to AI security researchers.

6.3Overall
Utility6
Onboarding5
Craft6
Niche fit7
Longevity7

Five dimensions scored independently; overall is a weighted average. Scores are only comparable within this same rubric.

Good for

AI security researchers, machine learning engineers, especially those needing to evaluate or benchmark AI models for code vulnerability detection.

Not for

Developers looking for out-of-the-box code scanning tools, or security engineers not involved in AI model evaluation.

Project description

github.com

Alternatives

CodeQL (for static analysis, not AI evaluation)Semgrep (for static analysis, not AI evaluation)
Visit site264 · Stars at evalEvaluated 2026-06-05

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