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 | TcMenu Menu library for Arduino, mbed and ESP with designer UI and remote control capabilities. | 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. | Aily Blockly AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x... |
|---|---|---|---|---|
| Quality | 71/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 322 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 | 3.8K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 20, 2026 | Jun 17, 2026 | Jul 28, 2026 | Aug 11, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Java, IoT, Claude Code | Python, Computer Vision, Claude Code, OpenAI Agents | Python, Computer Vision, Claude Code | TypeScript, IoT, 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 · builders willing to evaluate younger projects | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media 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 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 TcMenu/tcMenu | $ npx skills add open-compass/VLMEvalKit | $ npx skills add wiltodelta/remove-ai-watermarks | $ npx skills add ailyProject/aily-blockly |