0x-professor/agent-skills-hub/ml-model-eval-benchmark
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Checking that the SKILL.md file is still in the repository.
Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions.
Install
npx vskill@latest install 0x-professor/agent-skills-hub/ml-model-eval-benchmarkSKILL.md
ML Model Eval Benchmark
Overview
Produce consistent model ranking outputs from metric-weighted evaluation inputs.
Workflow
- Define metric weights and accepted metric ranges.
- Ingest model metrics for each candidate.
- Compute weighted score and ranking.
- Export leaderboard and promotion recommendation.
Use Bundled Resources
- Run
scripts/benchmark_models.pyto generate benchmark outputs. - Read
references/benchmarking-guide.mdfor weighting and tie-break guidance.
Guardrails
- Keep metric names and scales consistent across candidates.
- Record weighting assumptions in the output.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/ml-model-eval-benchmark/SKILL.md
Popularity
- Repository stars
- 11
- Repository forks
- 2
- 7-day trend score
- 12
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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