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peak-evaluation-metrics-cselectivity-snr-gaussian-fit

100 / 100 · Low risk

Fine to try.

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

Use when after scipy.signal.find_peaks has identified candidate peaks on a composite mass track segment, evaluate each peak to decide whether to retain it in the final feature table.

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 The information below is from the last time we could read it and may be out of date.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