Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Torchgeo is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Torchgeo
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Torchgeo
Best first install candidate based on install readiness and adoption.
Freshest repo
Torchgeo
Most recent maintenance signal among this shortlist.
| Signal | InSPyReNet Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022) | DIS This is the repo for our new project Highly Accurate Dichotomous Image Segmentation | Torchgeo TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data | Scenic Scenic: A Jax Library for Computer Vision Research and Beyond |
|---|---|---|---|---|
| Quality | 55/100 Promising | 74/100 Strong | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 57/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 76/100 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. |
| Adoption | 775 stars 0 installs | 2.6K stars 0 installs | 4.1K stars 0 installs | 3.8K stars 0 installs |
| Freshness | May 14, 2025 | Sep 23, 2024 | Jun 15, 2026 | Jun 15, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Computer Vision, Claude Code | Jupyter Notebook, Computer Vision, Claude Code | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge 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 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 |
| 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 plemeri/InSPyReNet | $ npx skills add xuebinqin/DIS | $ npx skills add torchgeo/torchgeo | $ npx skills add google-research/scenic |