evaluate-model
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install benchflow-ai-skillsbench-evaluate-model
Repository
Skill path: registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_train-fasttext/environment/skills/evaluate-model
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Testing.
Target audience: Ml teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: benchflow-ai.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install evaluate-model into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/benchflow-ai/SkillsBench before adding evaluate-model to shared team environments
- Use evaluate-model for ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.