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

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Decision summary

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

Strongest overall

MaaFramework

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

Fastest prototype

MaaFramework

Best first install candidate based on install readiness and adoption.

Freshest repo

MaaFramework

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.

Habitat Sim

A flexible, high-performance 3D simulator for Embodied AI research.

Faze4 Robotic Arm

All files for 6 axis robot arm with cycloidal gearboxes .

MaaFramework

基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition

Quality
50/100
Needs review
100/100
Excellent
77/100
Strong
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.

88/100
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
0 installs
3.7K stars
0 installs
862 stars
0 installs
4.3K stars
0 installs
FreshnessJun 9, 2025May 7, 2026Dec 28, 2025Jun 16, 2026
Use-case fit
Stack fit
Platform hintsC++, Robotics, Claude CodeC++, Computer Vision, Claude CodeC++, Robotics, Claude CodeC++, Computer Vision, Claude Code
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 signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsWorkflow automation 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
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Install
$ npx skills add rbdl/rbdl
$ npx skills add facebookresearch/habitat-sim
$ npx skills add Source-Robotics/Faze4-Robotic-arm
$ npx skills add MaaXYZ/MaaFramework