Deepseek Harness Skills is a collection of portable agent skills for DeepSeek Harness, Claude Code, and any system implementing the Agent Skills standard.
The project addresses the problem of creating reusable, interoperable skills for AI agents across different harness implementations. It solves this by providing plain-text skill definitions that require no build process or installation step, making them immediately portable across compatible systems. Each skill includes a checker component and a measured evaluation protocol that explicitly documents what has and has not been verified, establishing clear boundaries around capability claims.
Developers should choose this tool if they need agent skills that work across multiple harness platforms without vendor lock-in. It suits projects where portability and transparency about skill verification matter more than tightly integrated, framework-specific implementations. The plain-text approach means skills can be inspected, modified, and understood without specialized tooling or compilation steps.
The project maintains active engagement with skill development and evaluation practices, regularly adding new skills while documenting their verification status. Development shows consistent attention to the evaluation and measurement of skill performance, with each contribution including explicit protocols for testing. The codebase demonstrates a focus on clarity and portability as core design principles rather than secondary concerns.
