Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
nWave provides a rigorous methodology for building AI agents, moving from initial requirements analysis through iterative refinement. It establishes clear standards for agent creation to ensure consistency across complex automation workflows.
The system focuses heavily on validation, offering specific critique dimensions to evaluate agent quality. This includes auditing for template compliance, safety protocols, and the purity of business language in acceptance tests.
WHO IT'S FOR
AI agent / automation builders
implementing structured workflows for creating agents
QA / test automation engineers
validating acceptance tests and agent quality
Security engineers
testing agents for prompt injection and safety
Technical leads / architects
establishing quality standards for agentic workflows
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.