tabular-review

tabular-review is a skill for Claude Code from anthropics/claude-for-legal. It costs 124 tokens per session (4,039 once invoked), scanned A, original, Apache-2.0.

A batch document-review workflow that puts one document per row and one requested fact per column, with every answer linked to a source quote and location. It is designed for checking many contracts or other documents consistently.

In plain words
What is it for?
Use it for M&A diligence, such as reviewing contracts for change-of-control, assignment, or material-adverse-change clauses, and for other source-cited batch reviews.
Why use it?
Reviewing a large set of documents manually can produce inconsistent notes and hard-to-verify conclusions. This creates a structured spreadsheet and shows which results need further checking.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is /corporate-legal:tabular-review --schema .review-schema.yaml --docs ./vdr/02-Contracts/.

Part of the corporate-legal plugin — 10 skills, 1 agent shipped together

Good fit Use it for M&A diligence, such as reviewing contracts for change-of-control, assignment, or material-adverse-change clauses, and for other source-cited batch reviews.

Compare 6 skills from other repositories ↓
About the project

Claude for Legal is a collection of AI agents, skills, and data connectors for legal work such as commercial, privacy, employment, litigation, regulatory, and intellectual-property matters. Lawyers and legal teams use it through Claude Cowork, Claude Code, or the Claude Managed Agents API, with attorney review required for every output. The catalogue entries are its workflow plugins, skills, agents, and connectors.

anthropics/claude-for-legal · 9,433 stars · on GitHub

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/anthropics/claude-for-legal
agentmods
npx agentmods add skills/anthropics/claude-for-legal/tabular-review

Made for: Claude Code.

Or install corporate-legal, the plugin that ships this one along with the rest of its 10 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for tabular-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthropics/claude-for-legal/tabular-review/github.svg)](https://agentmods.dev/skills/anthropics/claude-for-legal/tabular-review)
Your own site
<a href="https://agentmods.dev/skills/anthropics/claude-for-legal/tabular-review"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/tabular-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tabular-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthropics/claude-for-legal/tabular-review"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/tabular-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,039 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 13 May 2026
  • Snyk fail 13 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 156
    Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.
    Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
  • medium Rogue Agent · line 44
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00124 $0.04039
Opus 5 $0.00062 $0.02020
Sonnet 5 $0.00025 $0.00808
Haiku 4.5 $0.00012 $0.00404

Measured 13d ago against content hash 529e3745cc98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tabular-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

corporate-legal/skills/tabular-review/SKILL.md · 236 lines

How it starts

The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/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.

--template <name>: Start from a template in references/. Currently: ma-diligence.

--docs <path>: Document source. A local folder, a Drive folder ID, or a VDR path. If omitted, asks.

--output <xlsx|gsheets|csv>: Output format. If omitted, asks.

--sample <n>: Sample size for the schema check. Default 5.


Matter context

Matter context. Check ## Matter workspaces in the practice-level CLAUDE.md. If Enabled is (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run /corporate-legal:matter-workspace switch <slug> or say practice-level." Load the active matter's matter.md for matter-specific context and overrides. Write outputs to the matter folder at ~/.claude/plugins/config/claude-for-legal/corporate-legal/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.

Read the full file on GitHub · 236 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 236 lines · 124 tokens per session scan A 529e3745cc98

Subscribe to this mod's changes

tabular-review is a skill published in the GitHub repository anthropics/claude-for-legal (9,433 stars, last pushed 21d ago), licensed Apache-2.0. It adds 124 tokens to every session and 4,039 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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