tabular-review
tabular-review is a Contracts & agreements skill for AI agents, published by eigenweltlabs in the legalwork repository on GitHub. Skillspace rates tabular-review D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Firm-owned tabular document review — the open-model replacement for Harvey/Legora "review grids". Extract a defined set of fields (columns) across a set of documents (rows) and produce an interactive, source-cited review table. Use whenever the user wants to review/compare/extract across MANY documents at once: due-diligence pulls, NDA/contract abstraction, lease abstraction, "make a table of X across these files", "review these contracts for Y", "build a review grid", or "extract these terms from every document".
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 72
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
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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