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测试与安全

tabular-review

anthropics/clau…or-legal

Tabular review — one row per document, one column per data point, every cell cited to source. Built for M&A diligence ("review these 200 target contracts for change-of-control, assignment, and MAC clauses") but works for any batch review that needs a spreadsheet out the other end. Use when user says "tabular review", "review grid", "build a grid", "extract these fields from these contracts", "review these documents for X, Y, Z", "give me a spreadsheet of", "batch review", or points at a folder of documents and asks to compare them.

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安装命令

npx skills add https://github.com/anthropics/claude-for-legal --skill tabular-review

SKILL.md

/tabular-review

  1. Load ~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md → diligence structure, thresholds, house format.
  2. Confirm: what documents, what columns, where does the output go.
  3. Build the typed schema. Write .review-schema.yaml. Confirm with the user.
  4. Sample run (3–5 docs). Adjust schema. Confirm.
  5. Fan out — one sub-agent per document, parallel. Each cell: value + state + verbatim quote + location.
  6. Normalization pass. Flag outliers and inconsistencies.
  7. Output: .xlsx or Google Sheets (ask which), plus .csv + _sources.csv + markdown always. Work-product header.
  8. Summary: verification workload (counts of not_present / unclear / needs_review per column), flagged columns, where the files are, reminder that every cell is a lead not a finding.
/corporate-legal:tabular-review
/corporate-legal:tabular-review --schema .review-schema.yaml --docs ./vdr/02-Contracts/
/corporate-legal:tabular-review --template ma-diligence

--schema <path>: Use an existing schema file instead of building one. Useful for re-runs and incremental additions.

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