datagrok-selection
datagrok-selection is an Exploratory analysis & notebooks skill for AI agents, published by datagrok-ai in the public repository on GitHub. Skillspace rates datagrok-selection D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Manipulate row selection (`df.selection`) on a Datagrok DataFrame inside a datagrok-exec block — set, clear, invert, add to, remove from, intersect, and read the selection mask. Also covers current row (`df.currentRowIdx`), the cross-skill bridges to/from the filter, and how to materialize the selected rows as a new DataFrame. Use whenever the user says "select rows", "deselect", "invert selection", "highlight rows", "selected rows", "clear selection", "current row", "currentRowIdx", "count selected", "list selected indexes", "selection from filter", "filter from selection", or asks for selected rows as a new table. Does NOT cover row filtering (separate skill `datagrok-filtering`) or generic DataFrame cloning (`datagrok-df-and-columns`).
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 72
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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