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tensor-encoding-deep-learning

100 / 100 · Low risk

Fine to try.

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

Use when when you have validated SMILES strings or RDKit molecule objects representing chemical structures and need to feed them into a pre-trained deep learning model (such as PS2MS, NEIMS, or DeepEI) that expects fixed-size numerical tensor inputs.

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 The information below is from the last time we could read it and may be out of date.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/'tensor-encoding-deep-learning' ] || [ -L ~/.agents/skills/'tensor-encoding-deep-learning' ]; then echo 'A skill folder named tensor-encoding-deep-learning 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 "$d" checkout --quiet 'bf028f481d363bb69a4047acecffccb62ea40705' -- 'collections/metabolomics/v1/skills/tensor-encoding-deep-learning' && mkdir -p ~/.agents/skills && cp -R "$d"/'collections/metabolomics/v1/skills/tensor-encoding-deep-learning' ~/.agents/skills/'tensor-encoding-deep-learning' && 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/'tensor-encoding-deep-learning' ~/.claude/skills/'tensor-encoding-deep-learning' (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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Score history

DateVersionScore
2026-11-08bf028f4100
2026-11-0683cafb6100