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 | Mdistiller The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf | Datumaro Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets. | Glue Factory Training library for local feature detection and matching | Torchgeo TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data |
|---|---|---|---|---|
| Quality | 51/100 Needs review | 86/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 53/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 97/100 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 | 901 stars 0 installs | 680 stars 0 installs | 1.1K stars 0 installs | 4.1K stars 0 installs |
| Freshness | Nov 5, 2023 | Jun 15, 2026 | May 27, 2026 | Jun 15, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Browser 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 |
| 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 | 0 views 0 install copies |
| Install | $ npx skills add megvii-research/mdistiller | $ npx skills add open-edge-platform/datumaro | $ npx skills add cvg/glue-factory | $ npx skills add torchgeo/torchgeo |