revision-tabular-dd

revision-tabular-dd is a skill for Claude Code from betobetico/claude-para-abogados. It costs 24 tokens per session (965 once invoked), scanned A, original, Apache-2.0.

A document-review table for due diligence, the process of checking a business before an investment, acquisition, or financing. It turns documents from a virtual data room into rows with categories, findings, risk levels, and legal references.

In plain words
What is it for?
Use it to review company records, contracts, employment, tax, regulatory, litigation, intellectual-property, and property documents.
Why use it?
It makes a large document collection easier to review consistently. It helps surface important facts and possible legal risks without losing the source document or applicable rule.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the societario plugin — 5 skills, 2 agents shipped together

Good fit Use it to review company records, contracts, employment, tax, regulatory, litigation, intellectual-property, and property documents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/betobetico/claude-para-abogados/revision-tabular
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add betobetico/claude-para-abogados --skill revision-tabular
Clone the repo
git clone --depth 1 https://github.com/betobetico/claude-para-abogados

Made for: Claude Code.

Or install societario, the plugin that ships this one along with the rest of its 5 skills, 2 agents.

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 revision-tabular-dd

README.md
[![agentmods](https://agentmods.dev/badge/skills/betobetico/claude-para-abogados/revision-tabular/github.svg)](https://agentmods.dev/skills/betobetico/claude-para-abogados/revision-tabular)
Your own site
<a href="https://agentmods.dev/skills/betobetico/claude-para-abogados/revision-tabular"><img src="https://agentmods.dev/badge/skills/betobetico/claude-para-abogados/revision-tabular/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 revision-tabular-dd

Your own site · 80×15
<a href="https://agentmods.dev/skills/betobetico/claude-para-abogados/revision-tabular"><img src="https://agentmods.dev/badge/skills/betobetico/claude-para-abogados/revision-tabular.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 965 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.
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 $0.00024 $0.00965
Opus 5.5 $0.00010 $0.00386
Sonnet 5.5 $0.00005 $0.00193
Haiku 4.5 $0.00002 $0.00097

Measured 15d ago against content hash 0987af638a3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

revision-tabular-dd 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 15d 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.

societario/skills/revision-tabular/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Propósito

Esta skill procesa los documentos de un data room virtual (VDR) para generar una tabla de revisión de due diligence. Cada documento se convierte en una fila con categorización, hallazgos clave, nivel de riesgo y referencia normativa. Diseñada para la fase de revisión documental de operaciones de M&A, inversión o financiación.

Instrucciones

Paso 1 — Indexar documentos

  1. Leer la lista de documentos proporcionados por el usuario.
  2. Clasificar cada documento en una categoría:
    • Societario (escrituras, estatutos, actas, poderes)
    • Contratos (mercantiles, laborales, financieros)
    • Laboral (plantilla, convenios, litigios laborales)
    • Fiscal (declaraciones, actas inspección, certificados)
    • Regulatorio (licencias, autorizaciones, permisos)
    • Litigios (demandas, sentencias, arbitrajes)
    • Propiedad intelectual (registros, licencias, cesiones)
    • Inmobiliario (títulos, arrendamientos, cargas)

Paso 2 — Analizar cada documento

Para cada documento:

  1. Identificar tipo y fecha del documento.
  2. Extraer hallazgos clave (hechos relevantes, cifras, obligaciones).
  3. Evaluar nivel de riesgo: ALTO / MEDIO / BAJO / INFORMATIVO.
  4. Citar la norma aplicable (artículo concreto).
  5. Anotar si falta algún documento relacionado.

Paso 3 — Detectar ausencias

  • Documentos esperados según el índice del VDR que no están.
  • Documentos obligatorios por ley que no aparecen (ej. cuentas anuales, libros de actas).
  • Versiones desactualizadas de documentos que deberían estar vigentes.

Paso 4 — Generar tabla

Formato de salida

## Revisión tabular de due diligence

**Operación:** [nombre]
**Fecha de revisión:** [fecha]
**Documentos analizados:** [número]
**Documentos pendientes:** [número]

### Tabla de revisión

| # | Documento | Categoría | Fecha | Hallazgos clave | Riesgo | Referencia normativa | Notas |
|---|-----------|-----------|-------|------------------|--------|----------------------|-------|
| 1 | [nombre]  | [cat]     | [fecha] | [hallazgo]     | [nivel] | [norma art. X]      | [nota] |

### Resumen por categoría

| Categoría | Docs revisados | Riesgo alto | Riesgo medio | Pendientes |
|-----------|----------------|-------------|--------------|------------|
| [cat]     | [n]            | [n]         | [n]          | [n]        |

### Documentos ausentes

| Documento esperado | Categoría | Obligatoriedad | Impacto |
|--------------------|-----------|----------------|---------|
| [nombre]           | [cat]     | Legal/Recomendado | [detalle] |

Read the full file on GitHub · 90 lines

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. 15d ago First seen · 90 lines · 24 tokens per session scan A 0987af638a3f

Subscribe to this mod's changes

revision-tabular-dd is a skill published in the GitHub repository betobetico/claude-para-abogados (43 stars, last pushed 16d ago), licensed Apache-2.0. It adds 24 tokens to every session and 965 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-01.

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