OpenAgentSkill Registry Manifest
Skill: Benchm Ml
Slug: szilard-benchm-ml
Category: ml-automation
Description: A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Agent fit:
- Decision: 75/100 Strong shortlist
- Primary fit: Sports analytics
- Role: Companion skill

Supply profile:
- Track: Coding and developer agents
- Scenario: GitHub automation
- Applicable agents: Claude Code, CLI, Codex, Cursor, R
- Maintenance: 4y since push
- Risk: Needs review

Trust:
- Trust score: 82/100 Strong shortlist
- Audit: 73/100 Needs review

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: szilard
- Claim URL: https://www.openagentskill.com/skills/szilard-benchm-ml#claim-this-skill

Install:
npx skills add szilard/benchm-ml

URLs:
- Web: https://www.openagentskill.com/skills/szilard-benchm-ml
- API: https://www.openagentskill.com/api/agent/skills/szilard-benchm-ml
- Install API: https://www.openagentskill.com/api/skills/szilard-benchm-ml/install
- Repository: https://github.com/szilard/benchm-ml