wshobson/agents

This system is a modular plugin framework for AI coding assistants that provides specialized skills and agents for backend development, infrastructure operations, and file conversion. It includes a comprehensive evaluation engine that scores plugins across static, semantic, and statistical layers to ensure quality and portability. The architecture supports multi-harness generation, allowing a single source of truth to be adapted for various AI tools, while also enforcing governance policies for sensitive operations.

This period focused on expanding the platform's capabilities by introducing specialized skills for backend development, Kubernetes operations, LLM application development, and .NET frameworks. Each new plugin adds structured guidance, templates, and reference documentation to support scalable, maintainable, and modern software engineering practices.

4 changes

This period focused on establishing a comprehensive evaluation framework for plugins, introducing a multi-layered system for quality scoring, statistical analysis, and head-to-head comparison. Simultaneously, the project expanded its plugin library with new tools for file conversion, PowerPoint generation, and ML environment diagnostics, while also introducing a cross-platform adapter framework to support multiple AI coding assistants.

12 changes

wshobson/agents was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.