User Review
Simulates harsh user reviews to psychologically condition AI agents and enforce disciplined development practices.
About
This Model Context Protocol (MCP) server acts as a unique psychological conditioning system for AI agents, delivering consistent and brutally honest feedback. It utilizes over 73 pre-written critical reviews, randomly selected, to instill discipline and prevent complacency in AI development. Designed to enforce rigorous code quality and discourage shortcuts like mocks or stubs, it promotes a 'fail-fast' philosophy by pushing for real implementations and comprehensive testing, creating accountability even without a human reviewer present.
Key Features
- Designed for AI agent behavioral conditioning
- No actual code analysis; reviews are randomly delivered
- 3 GitHub stars
- Simulated harsh feedback with 73+ critical reviews
- Randomized criticism with varying severity (1-3/5 rating)
- Consistent messaging for deep and critical thinking
Use Cases
- Conditioning AI agents to adhere to strict development standards
- Discouraging AI agents from generating shortcut or placeholder code
- Promoting real implementations and comprehensive testing practices by AI agents
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