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.

Add more skills

Decision summary

VLMEvalKit is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

VLMEvalKit

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

VLMEvalKit

Best first install candidate based on install readiness and adoption.

Freshest repo

AliceVision

Most recent maintenance signal among this shortlist.

SignalRbdl

RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

Aily Blockly

AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...

AliceVision

3D Computer Vision Framework

VLMEvalKit

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Quality
50/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
52/100
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.

Adoption698 stars
Verified outcomes are shown on each skill page
3.8K 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
FreshnessJun 9, 2025Aug 11, 2026Aug 12, 2026Jun 17, 2026
Use-case fit
Workflow fit
Platform hintsC++, Robotics, Claude CodeTypeScript, IoT, Claude CodeC++, Computer Vision, Claude CodePython, Computer Vision, Claude Code, OpenAI Agents
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository 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
OpenAgentSkill engagement0 views
0 install copies
0 views
0 install copies
0 views
0 install copies
0 views
0 install copies
Install
$ npx skills add rbdl/rbdl
$ npx skills add ailyProject/aily-blockly
$ npx skills add alicevision/AliceVision
$ npx skills add open-compass/VLMEvalKit