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.

Decision summary

Strongest overall

Yolov5

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

Fastest prototype

Yolov5

Best first install candidate based on install readiness and adoption.

Freshest repo

OnnxStream

Most recent maintenance signal among this shortlist.

Signal	OnnxStream Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.	Onnxruntime ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator	Yolov5 Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite	Tfjs A WebGL accelerated JavaScript library for training and deploying ML models.
Quality	94/100 Excellent	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	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.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	2.1K stars Verified outcomes are shown on each skill page	21K stars Verified outcomes are shown on each skill page	58K stars