AI-Native Assessment

Use this skill to evaluate any repository's AI-native maturity. The workflow starts with deterministic candidate and evidence discovery, then uses the LLM to score the repository. The bundled scanner can also emit deterministic scores when explicitly requested.

When To Use It

• When asked whether a repo is AI-native or AI-ready
• When measuring the impact of an ai-harness-setup bootstrap
• When comparing repositories for AI-native maturity
• When creating a baseline score before workflow improvements
• When you need a prioritized backlog of AI-native improvements

Inputs

• The target repository

Reference Files