Comet is an agent skill harness that enables developers to turn ideas into evaluated workflows through structured skill creation and phase-guarded execution.
The tool addresses the challenge of building reliable AI agent workflows by providing a framework for defining, composing, and evaluating agent skills. It uses a phase-guarded approach to manage workflow execution, ensuring that skills progress through defined stages with built-in evaluation at each step. This architecture allows developers to create modular, testable components that can be combined into larger agent systems while maintaining visibility into performance and correctness throughout the workflow lifecycle.
Comet suits teams building AI agents who need structured ways to develop and validate skills before deploying them in production systems. It is particularly valuable for projects where skill composition, evaluation, and iteration are central concerns. The tool's emphasis on harness engineering and loop engineering suggests it targets developers who want to move beyond ad-hoc agent implementations toward more systematic, evaluated approaches. The phase-guarded execution model makes it appropriate for workflows where intermediate validation and gating between stages matter, rather than simple linear pipelines.
The project shows active development with regular commits and ongoing refinement of its core abstractions. The codebase demonstrates thoughtful iteration on the skill harness design, with changes reflecting responses to practical use cases. Documentation is maintained alongside code changes, indicating attention to developer experience. The repository maintains a focused scope around the core harness and skill framework rather than attempting to solve all agent-related problems, suggesting a deliberate design philosophy.
