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 | DINO [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection" | VLMEvalKit Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks | 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 |
|---|---|---|---|---|
| Quality | 75/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 77/100 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 | 2.8K stars Verified outcomes are shown on each skill page | 4.2K 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 |
| Freshness | Jul 31, 2024 | Jun 17, 2026 | Jul 28, 2026 | Aug 12, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code, OpenAI Agents | Python, Computer Vision, Claude Code | C++, 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 | 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 |
| 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 IDEA-Research/DINO | $ npx skills add open-compass/VLMEvalKit | $ npx skills add wiltodelta/remove-ai-watermarks | $ npx skills add alicevision/AliceVision |