data-table-analysis
data-table-analysis is an Exploratory analysis & notebooks skill for AI agents, published by NVIDIA-AI-Blueprints in the aiq repository on GitHub. Skillspace rates data-table-analysis D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill for converting researched facts or user-provided data into structured tables by writing code, then running Python/pandas calculations in the job-scoped sandbox. This skill is for numeric normalization, tabular analysis, rankings, growth rates, summary statistics, CSV/JSON generation, and markdown tables. Triggers: "compute table", "calculate growth", "normalize values", "extract figures", "rank companies", "QoQ", "YoY", "CAGR", "summary statistics", "CSV", "JSON", "markdown table", "standardize quarters", "standardize currencies", "compare over time". Outputs: Markdown tables, CSV text, JSON records, summary statistics, rankings, and data-quality notes.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 795
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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