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
Remove AI Watermarks is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.
Strongest overall
Remove AI Watermarks
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Remove AI Watermarks
Best first install candidate based on install readiness and adoption.
Freshest repo
AliceVision
Most recent maintenance signal among this shortlist.
| Signal | AILearners 机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战 | Remove AI Watermarks AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images. | AliceVision 3D Computer Vision Framework | VLMEvalKit Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks |
|---|---|---|---|---|
| Quality | 55/100 Promising | 100/100 Excellent | 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. | 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 | 700 stars Verified outcomes are shown on each skill page | 4.3K stars Verified outcomes are shown on each skill page | 3.5K stars Verified outcomes are shown on each skill page | 4.2K stars Verified outcomes are shown on each skill page |
| Freshness | Nov 14, 2020 | Jul 28, 2026 | Aug 12, 2026 | Jun 17, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code | C++, Computer Vision, Claude Code | Python, Computer Vision, Claude Code, OpenAI Agents |
| 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 | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics 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 aimi-cn/AILearners | $ npx skills add wiltodelta/remove-ai-watermarks | $ npx skills add alicevision/AliceVision | $ npx skills add open-compass/VLMEvalKit |