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
Aily Blockly
Most recent maintenance signal among this shortlist.
| Signal | Things 联犀是基于golang,gozero框架构建的SaaS云原生微服务物联网平台(iot)，支持MQTT、CoAP、HTTP、TCP、阿里云、腾讯云、涂鸦云,物美等云云对接及设备协议，实现海量多样设备连接。支持多租户、多应用和项目管理，内置小程序功能,适应多样化业务场景.支持单体、集群和微服务部署，适应不同企业规模和需求。支持mysql和pgsql，满足数据存储需求,适用于智能家居、智慧楼宇... | Aily Blockly AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x... | 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. |
|---|---|---|---|---|
| Quality | 79/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 90/100 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 628 stars Verified outcomes are shown on each skill page | 3.8K 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 |
| Freshness | Jun 16, 2026 | Aug 11, 2026 | Jun 17, 2026 | Jul 28, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Go, IoT, Claude Code | TypeScript, IoT, Claude Code | Python, Computer Vision, Claude Code, OpenAI Agents | Python, Computer Vision, Claude Code |
| Warnings | 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 | Coding agents 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 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 | 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 unitedrhino/things | $ npx skills add ailyProject/aily-blockly | $ npx skills add open-compass/VLMEvalKit | $ npx skills add wiltodelta/remove-ai-watermarks |