Generate six-dimension radar profiles for AI models via automated cross-model evaluation.
npx skills add https://github.com/TerryFYL/ai-research-army --skill model-tester
Please help me install this Agent Skill. Skill: model-tester Source: https://github.com/TerryFYL/ai-research-army/tree/main/skills/model-tester Command: npx skills add https://github.com/TerryFYL/ai-research-army --skill model-tester
This Skill automates standardized cross-model evaluation by generating a six-dimension radar profile for AI models.
Register a model and run the standard six-dimension radar workflow to generate a radar profile and composite results.
High-intent search queries and answers about installing and using this skill.
You can compare AI models using a six-dimension radar framework with 18 test cases scored by an AI Judge, which generates a composite radar visualization and detailed task results to inform deployment decisions.
Cross-validation uses an AI Judge to score 18 test cases across six dimensions, producing a composite radar visualization and stored histories for auditing model performance.
It supports OpenAI, Anthropic, and Google Generative AI dependencies, enabling cross-model evaluation across these platforms to produce standardized radar profiles.
The workflow automates radar chart generation by scoring 18 test cases across six dimensions with an AI Judge, then visualizing the aggregated data into a composite radar profile.
Automating cross-model evaluation through a coordinated workflow that registers models, runs 18 standardized test cases, and aggregates scores into a visual radar profile provides end-to-end standardized benchmarking.
The framework is limited to six specific dimensions with 18 predefined test cases, meaning it may not fully capture specialized capabilities outside of information synthesis, judgement, consistency, precision, writing, and rule adherence.
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