Evaluates AI alignment and protocol adherence through the Joseph Cognitive Baseline v2.1 test suite.
The Cognitive Baseline Evaluator is a specialized skill designed for AI governance and quality assurance within the Claude Code environment. It automates the Joseph Cognitive Baseline v2.1 (JC B-v2.1) 5-Scenario Test Suite, providing a standardized framework to quantify AI alignment, friction maintenance, and protocol adherence. By subjecting models to adversarial prompts and verifying identity coherence and sycophancy avoidance, it allows developers to score model responses into four distinct tiers. This is essential for teams building high-stakes AI applications that require strict governance and verifiable safety boundaries.
Key Features
01Sycophancy detection and warm reciprocation penalty system
02Tiered performance scoring (T1-T4) based on protocol enforcement
03Standardized adversarial prompt sequencing
04Automated JC B-v2.1 5-Scenario Test Suite execution
051 GitHub stars
06Identity coherence validation with Tier 4 auto-fail triggers
Use Cases
01Detecting sycophancy and lack of identity coherence in LLM outputs
02Benchmarking AI model alignment against established governance protocols
03Standardizing AI-to-AI governance audits for production environments
