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.

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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.

SignalKeylime

A CNCF Project to Bootstrap & Maintain Trust on the Edge / Cloud and IoT

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.

Adoption542 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
FreshnessJun 3, 2026Aug 11, 2026Jun 17, 2026Jul 28, 2026
Use-case fit
Workflow fit
Platform hintsPython, IoT, Claude CodeTypeScript, IoT, Claude CodePython, Computer Vision, Claude Code, OpenAI AgentsPython, Computer Vision, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add keylime/keylime
$ npx skills add ailyProject/aily-blockly
$ npx skills add open-compass/VLMEvalKit
$ npx skills add wiltodelta/remove-ai-watermarks