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Good csv cleaner

Skill Redfloor/skillsmith/tests/fixtures/skills/good-csv-cleaner

Cleans messy CSV files into a normalized schema. Use this when the user has a .csv with malformed rows, inconsistent headers, or junk lines and wants a tidy spreadsheet out. Not for Excel-specific formatting.From its SKILL.md

Install
npx -y skills add Redfloor/skillsmith --skill good-csv-cleaner

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 1 command, including `python scripts/normalize.py`.

SKILL.md

0.8 KB, 132 tokens by cl100k_base, as published. Nobody here has run it

CSV Cleaner

Use this when the user provides a messy CSV and wants it normalized.

  1. Run python scripts/normalize.py to parse the CSV and deduplicate rows deterministically. If it exits nonzero, report the error and stop.
  2. Validate the result against the schema in schema.json so the output contract is enforced, otherwise the downstream step will reject it.
  3. If the user asks, explain which rows were dropped and why — this needs judgment about what counts as "junk" for their data.

See the format guide for column conventions.

What ships with it: 4 files

2.2 KB alongside SKILL.md, 1 of them executable

reference/

scripts/

Keep looking

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