Co1lin/CWEval

CWEval addresses a critical intersection in AI development—ensuring that code which works is also secure. However, with only 34 stars and zero velocity over 500+ days, the project lacks any meaningful community traction or 'data gravity.' It functions essentially as a set of evaluation scripts and prompts that can be easily replicated. Frontier labs (OpenAI, Meta, Anthropic) are heavily invested in this space for safety alignment; Meta's CyberSecEval and HuggingFace's BigCode benchmarks are already the de facto standards for this type of analysis. The moat is non-existent because the value lies in the dataset of test cases, which is small here compared to industry-led efforts. GitHub (Microsoft) is also natively integrating security scanning (CodeQL) into Copilot, making external evaluation tools like this less relevant for developers.