data-wrangler
data-wrangler is an Exploratory analysis & notebooks skill for AI agents, published by georgekhananaev in the claude-skills-vault repository on GitHub. Skillspace rates data-wrangler D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Production-grade tabular data manipulation using pandas & openpyxl. This skill should be used when editing, creating, filtering, sorting, merging, pivoting, deduplicating, validating, or transforming CSV, Excel (xlsx/xls), JSON, Parquet, or TSV files. Supports 18 operations via CLI scripts, advanced Excel formatting (multi-sheet, freeze, auto-filter, validation, styling), and file-converter integration for format pipelines.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 25
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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