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
Transformers is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.
Strongest overall
Transformers
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Transformers
Best first install candidate based on install readiness and adoption.
Freshest repo
Transformers
Most recent maintenance signal among this shortlist.
| Signal | Sars Tutorial Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018 | Surprise A Python scikit for building and analyzing recommender systems | Handson Ml ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead. | Transformers 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. |
|---|---|---|---|---|
| Quality | 52/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 42/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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 | 344 stars 0 installs | 6.8K stars 0 installs | 26K stars 0 installs | 162K stars 0 installs |
| Freshness | Jan 27, 2021 | May 30, 2026 | May 19, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 require actively maintained dependencies · production agents without a repository 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 | 4 views 0 install copies |
| Install | $ npx skills add mquad/sars_tutorial | $ npx skills add NicolasHug/Surprise | $ npx skills add ageron/handson-ml | $ npx skills add huggingface/transformers |