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compositional-data-transformation-clr

100 / 100 · Low risk

Fine to try.

By HolobiomicsLab/asb-skill-collections (GitHub) · coding · 16 stars · scanned at commit bf028f4

Use when apply CLR transformation when you have microbiome or metabolomic count data that sums to a constant across samples (relative abundance or compositional data) and intend to train supervised or unsupervised machine learning models (especially neural networks) that assume unbounded, linear.

Works with any agent that supports SKILL.md skills.

This skill is no longer available at its GitHub address. The information below is from the last time we could read it and may be out of date.

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/'compositional-data-transformation-clr' ] || [ -L ~/.agents/skills/'compositional-data-transformation-clr' ]; then echo 'A skill folder named compositional-data-transformation-clr already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/HolobiomicsLab/asb-skill-collections' "$d" && git -C "$d" checkout --quiet 'bf028f481d363bb69a4047acecffccb62ea40705' -- 'collections/metabolomics/v1/skills/compositional-data-transformation-clr' && mkdir -p ~/.agents/skills && cp -R "$d"/'collections/metabolomics/v1/skills/compositional-data-transformation-clr' ~/.agents/skills/'compositional-data-transformation-clr' && 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/'compositional-data-transformation-clr' ~/.claude/skills/'compositional-data-transformation-clr' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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