# CSV Quality Auditor

> Audit CSV files for blank or duplicate headers, inconsistent row widths, and fully empty data rows. Use when validating a delimited text file before import, analysis, or handoff.

- Skill: `qwqqwqis666/csv-quality-auditor-2` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add qwqqwqis666/csv-quality-auditor-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/qwqqwqis666/csv-quality-auditor-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: qwqqwqis666 (https://skillmd.com/u/qwqqwqis666)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/qwqqwqis666/csv-quality-auditor-2

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# CSV Quality Auditor

Run the bundled auditor from this skill directory:

```bash
python scripts/audit_csv.py INPUT [--delimiter DELIM] [--json]
```

Use a comma by default. Pass `;` for semicolon-delimited files, `tab` or `\t`
for tab-delimited files, or any other single character for a custom delimiter.

Interpret exit codes as follows:

- `0`: the file was read successfully and no quality issues were found.
- `1`: one or more quality issues were found.
- `2`: the arguments were invalid or the file could not be read or parsed.

Prefer `--json` when another tool will consume the result. Review
`references/rules.md` for issue definitions and row-counting conventions.