ml-experiment-standards
100 / 100 · Low risk
Fine to try.
Always invoke for training, validating, tuning, benchmarking, or claiming readiness of a predictive model. Covers leakage audits, spatial and grouped splits, metrics, reproducibility, and honest reporting. Invoke especially when spatial dependence, split design, or deployment geography is unknown; uncertainty is a reason to use this skill. Do not trigger for descriptive EDA or non-predictive statistical inference.
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/'ml-experiment-standards' ] || [ -L ~/.agents/skills/'ml-experiment-standards' ]; then echo 'A skill folder named ml-experiment-standards already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/muend/geoai-skills' "$d" && git -C "$d" checkout --quiet '19937ce14c7d60d764732cc2688c6a3dd92f6d0e' -- 'skills/ml-experiment-standards' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/ml-experiment-standards' ~/.agents/skills/'ml-experiment-standards' && 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/'ml-experiment-standards' ~/.claude/skills/'ml-experiment-standards' (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/muend/geoai-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-07 | 19937ce | 100 |