dataset-profiler
dataset-profiler is an Exploratory analysis & notebooks skill for AI agents, published by oxbshw in the LLM-Agents-Ecosystem-Handbook repository on GitHub. Skillspace rates dataset-profiler B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Use when first encountering a new dataset — produces a structured profile (schema, missingness, distributions, outliers, gotchas) before any analysis.
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 533
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General data-analysis method for profiling any new dataset.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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