Read and interpret JSON model templates for Stage5 evaluation.
npx skills add https://github.com/EurecaMoment/BenchClaw --skill modelneedmeasured
Please help me install this Agent Skill. Skill: modelNeedMeasured Source: https://github.com/EurecaMoment/BenchClaw/tree/main/BenchClaw/modelNeedMeasured Command: npx skills add https://github.com/EurecaMoment/BenchClaw --skill modelneedmeasured
This Skill streamlines the configuration and management of model templates for Stage5 evaluation, ensuring consistent and reliable model usage.
model_config.json.Run the modelNeedMeasured skill to ensure the model configuration is correct for the upcoming evaluation.
High-intent search queries and answers about installing and using this skill.
Model templates for Stage5 evaluation benchmarks are configured by reading and interpreting a central JSON template. This approach eliminates hardcoded model rosters and ensures consistent API compatibility and endpoint exposure.
Managing AI model provider settings and aliases for benchmarking is handled by defining provider configurations, test-group assignments, and sampling options in a structured JSON template, ensuring reliable model availability and structured evaluation.
OpenAI API compatible endpoints are supported for multimodal image-based evaluation. The configuration facilitates OpenAI-compatible chat completions API calls to process and evaluate image-based evaluation items.
Grey and full evaluation model sets for AI testing are set up within the JSON template configuration. The template supports configurable sampling and fail-fast options to control the evaluation workflow flexibility.
Model configuration fails the benchmark evaluation availability check when the JSON template lacks proper provider settings, API compatibility, or endpoint exposure. The Skill verifies these configurations to prevent evaluation errors.
A JSON template is required to run the modelNeedMeasured skill for AI evaluation. The Skill reads and interprets this template to ensure model availability, API compatibility, and proper endpoint exposure for benchmarking workflows.
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