Data Quality Review
100 / 100 · Low risk
Fine to try.
Check a dataset before analysis: row counts, duplicates, missing values, units and currency, date ranges and time zones, joins, and outliers. Returns a pass, warn or fail table and names which analysis each problem blocks. Use before a report, a model, or a decision that rests on the data.
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/'data-quality-review' ] || [ -L ~/.agents/skills/'data-quality-review' ]; then echo 'A skill folder named data-quality-review already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/nightly-labs/openbot' "$d" && git -C "$d" checkout --quiet '28f04e89efa8729f3b0598cb5840e1fe502b306d' -- 'marketplace/production-catalog/skills/data-quality-review' && mkdir -p ~/.agents/skills && cp -R "$d"/'marketplace/production-catalog/skills/data-quality-review' ~/.agents/skills/'data-quality-review' && 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/'data-quality-review' ~/.claude/skills/'data-quality-review' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/nightly-labs/openbot/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-13 | 28f04e8 | 100 |
| 2026-11-09 | 01ad8de | 100 |