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dbscan-custom-distance-clustering

100 / 100 · Low risk

Fine to try.

By cxcscmu/SkillLearnBench (GitHub) · media · 93 stars · scanned at commit 726e1f7

Implement DBSCAN clustering with a custom weighted Euclidean distance metric controlled by shape_weight parameter. Use this skill to cluster citizen science point annotations on Mars cloud images.

Works with any agent that supports SKILL.md skills.

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/'dbscan-custom-distance-clustering' ] || [ -L ~/.agents/skills/'dbscan-custom-distance-clustering' ]; then echo 'A skill folder named dbscan-custom-distance-clustering already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/cxcscmu/SkillLearnBench' "$d" && git -C "$d" checkout --quiet '726e1f79b96b0cb3d729d0e55a1c847e0b5353ae' -- 'skills/b3-teacher-feedback-claude-haiku-4-5/dbscan-parameter-tuning/run1_dbscan-custom-distance-clustering' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/b3-teacher-feedback-claude-haiku-4-5/dbscan-parameter-tuning/run1_dbscan-custom-distance-clustering' ~/.agents/skills/'dbscan-custom-distance-clustering' && 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/'dbscan-custom-distance-clustering' ~/.claude/skills/'dbscan-custom-distance-clustering' (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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