model-eval-report
CommunityAuto-generate model evaluation reports.
AuthorLinusConradM
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Generates a professional Quarto HTML model performance evaluation report for the CRPD Dashboard LLM integration, enabling consistent, shareable assessments from the latest evaluation results.
Core Features & Use Cases
- Automatically locate the latest evaluation results JSON from LLM_Development and extract phase, run_date, test_questions, configs, winner, and recommendation to drive report generation.
- Generate a polished Quarto (.qmd) report with interactive visuals, a performance summary, and a model recommendation.
- Save reports sequentially in Model Performance Evaluation/ as report_001_, report_002_, ... with a phase slug and date in the filename.
- Trigger on demand or automatically after phase evaluation completes (evaluate_phase*.py) when a report for that phase hasn't been generated yet.
- Handle multiple configs and rate-limit skipped configurations, including a clear recommendation and known gaps.
Quick Start
Ask the skill to generate the latest model evaluation report and it will locate the most recent eval_results_phase*.json, build a Quarto report, and save it under Model Performance Evaluation/report_NNN_phaseSlug_YYYY-MM-DD.qmd.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: model-eval-report Download link: https://github.com/LinusConradM/test_crpd_dashboard/archive/main.zip#model-eval-report Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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