rhesis
Structured feedback, testing, and evaluation for AI applications
Gives the AI agent repo-wide operating rules — plain-language answers, absolute Python imports, worktree and testing procedures, and strict commit and PR approval gates — and routes it to scoped sub-guides for the backend, frontend, SDK, docs, and published skill.
All Skills in This Repository (2)
Pure Emerald Level IndicatorsFrequently Asked Questions
FAQPage SchemaHow to install Rhesis?▼
Run `npx skills add rhesis-ai/rhesis --all -g -y` in your terminal to install the skill globally for your AI agent.
What does Rhesis do for AI agent testing?▼
Rhesis lets domain experts review your agent's answers in a browser, then converts that feedback into test sets and metrics that run automatically on every change.
How do I connect my agent to Rhesis?▼
Use the Python SDK connector, which opens an outbound WebSocket so your agent needs no public URL, or register an existing public REST endpoint directly in the UI.
Does Rhesis work with Claude Code and Cursor?▼
Yes. The Rhesis skill and MCP server let you design test suites, trigger runs, and read feedback directly from Claude Code, Cursor, and other MCP-compatible clients.
Can non-developers review AI agent answers in Rhesis?▼
Yes. Reviewers open a shared link in the browser, chat with the agent in the playground, and leave pass/fail verdicts and comments with no code required.
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