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exploratory-data-analysis

100 / 100 · Low risk

Fine to try.

By pymc-labs/daimon (GitHub) · data · 24 stars · scanned at commit 22b592e

Profile and interrogate data before anyone makes a claim about it — a cleaned frame, a folder of parquet parts, a warehouse table you query in place, or an index frame over a corpus of documents. Summary statistics do not identify a distribution — Anscombe's quartet shares a mean, variance and correlation across four unrelated shapes — so nothing is reported that has not been plotted. Covers dtype and cardinality profiling, missingness structure, Spearman against Pearson, a correlation matrix r…

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/'exploratory-data-analysis' ] || [ -L ~/.agents/skills/'exploratory-data-analysis' ]; then echo 'A skill folder named exploratory-data-analysis already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/pymc-labs/daimon' "$d" && git -C "$d" checkout --quiet '22b592ee601da6766ec17b801cec39e4ef89cd78' -- 'defaults/skills/exploratory-data-analysis' && mkdir -p ~/.agents/skills && cp -R "$d"/'defaults/skills/exploratory-data-analysis' ~/.agents/skills/'exploratory-data-analysis' && 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/'exploratory-data-analysis' ~/.claude/skills/'exploratory-data-analysis' (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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