Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Datasets is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.
Strongest overall
Datasets
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Datasets
Best first install candidate based on install readiness and adoption.
Freshest repo
Screenpipe
Most recent maintenance signal among this shortlist.
| Signal | Unitxt 🦄 Unitxt is a Python library for enterprise-grade evaluation of AI performance, offering the world's largest catalog of tools and data for end-to-end AI benchmarking | Datasets 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools | Great Expectations Always know what to expect from your data. | Screenpipe YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure |
|---|---|---|---|---|
| Quality | 74/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 73/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 214 stars Verified outcomes are shown on each skill page | 22K stars Verified outcomes are shown on each skill page | 12K stars Verified outcomes are shown on each skill page | 19K stars Verified outcomes are shown on each skill page |
| Freshness | May 27, 2026 | Jun 12, 2026 | Jun 13, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, MLOps, Claude Code | Python, Machine Learning, Claude Code | Python, MLOps, Claude Code | Rust, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Browser automation workflows · Claude Code teams · builders willing to evaluate younger projects | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals | Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add IBM/unitxt | $ npx skills add huggingface/datasets | $ npx skills add fivetran/great_expectations | $ npx skills add screenpipe/screenpipe |