ray
100 / 100 · Low risk
Fine to try.
Production Ray (open-source, pinned to 2.57) for classic-ML workloads from training to serving — Ray Train, Tune, Data, Serve, Core, and cluster deployment on KubeRay. Corrects the older-corpus defaults a model reaches for (ray.air session reporting, Trainer-inside-Tuner, tune.run, map_batches concurrency=, DatasetPipeline/to_torch, max_concurrent_queries, RayServeHandle + ray.get, Deployment.deploy, ray.state, ray.get-in-a-loop) with the 2.57 idioms that replaced them (Train V2 defaults, drive…
Partially scanned — some files couldn't be read; we'll retry on the next scan
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'ray' ] || [ -L ~/.agents/skills/'ray' ]; then echo 'A skill folder named ray already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/pproenca/dot-skills' "$d" && git -C "$d" checkout --quiet 'cf93c57cac89d6fc3e4194686000411567f5caf3' -- 'skills/.experimental/ray' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/.experimental/ray' ~/.agents/skills/'ray' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'ray' ~/.claude/skills/'ray' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/pproenca/dot-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-07 | cf93c57 | 100 |