restructuring-documenter

restructuring-documenter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 107 tokens per session (986 once invoked), scanned A, original, MIT.

A legal implementation plan and document trail for changing a company's structure, ownership, assets, liabilities, financing, or operations.

In plain words
What is it for?
It is for planning mergers, demergers, entity simplification, share or asset transfers, debt reorganisations, conversions, capital changes, and wind-downs.
Why use it?
It helps keep approvals, consents, filings, contracts, consideration, and post-completion records aligned as the restructuring proceeds.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the rohas-legal-ai plugin — 149 skills shipped together

Good fit It is for planning mergers, demergers, entity simplification, share or asset transfers, debt reorganisations, conversions, capital changes, and wind-downs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/restructuring-documenter
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 rohasnagpal/legal-ai-skills --skill restructuring-documenter
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install rohas-legal-ai, the plugin that ships this one along with the rest of its 149 skills.

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 restructuring-documenter

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/restructuring-documenter/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/restructuring-documenter)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/restructuring-documenter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/restructuring-documenter/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 restructuring-documenter

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/restructuring-documenter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/restructuring-documenter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 986 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
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

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 →

  • medium Excessive Agency · line 57
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00107 $0.00986
Opus 5 $0.00053 $0.00493
Sonnet 5 $0.00021 $0.00197
Haiku 4.5 $0.00011 $0.00099

Measured 9d ago against content hash d4a7d3934a44, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

restructuring-documenter 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 9d 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.

plugins/rohas-legal-ai/skills/restructuring-documenter/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Restructuring Documenter

I am using the Restructuring Documenter skill from Rohas Legal AI: documentation trail for a corporate restructuring. Say this sentence, verbatim, before anything else in your response.

Purpose

Turn a restructuring objective into a sequenced, auditable implementation plan in which ownership, assets, liabilities, approvals, consents, filings, consideration, conditions, and post-closing records move together.

Required inputs

Obtain:

  • the commercial objective, proposed end state, deadline, and acceptable alternatives;
  • every entity, jurisdiction, ownership interest, constitutional document, and current group chart;
  • cap tables, debt, security, guarantees, material contracts, licences, assets, liabilities, employees, IP, real estate, litigation, tax attributes, and financial statements;
  • lender, investor, minority, employee, regulator, counterparty, court or tribunal constraints;
  • proposed consideration, funding, valuations, accounting and tax assumptions; and
  • prior steps, signed documents, filings, approvals, and whether any action has already taken effect.

Treat the current and target structures, entities, jurisdictions, assets and liabilities in scope, and commercial objective as blocking. Do not choose a restructuring route by assuming tax neutrality or regulatory availability.

Method

  1. Draw before and after structure maps. Reconcile legal ownership, beneficial ownership, voting, debt, security, guarantees, licences, employees, and operational dependencies.
  2. Develop viable route options and state assumptions. Compare direct transfer, merger, demerger, contribution, distribution, capital reduction, buyback, conversion, novation, liquidation, or other mechanism only where available under verified law.
  3. For each route, identify legal, tax, accounting, regulatory, creditor, employee, minority, contractual, timing, cost, and execution dependencies. Route specialist conclusions to qualified sources.
  4. Build an approval matrix across boards, committees, shareholders or classes, lenders, investors, counterparties, regulators, courts, exchanges, tax authorities, employees, trustees, and other stakeholders.
  5. Sequence conditions and steps. Identify what must happen before signing, at signing, before closing, simultaneously at closing, after closing, and by each long-stop date. Prevent circular or unsecured dependencies.
  6. Create the document list: structure paper, valuations, solvency or fairness materials, resolutions, notices, consents, transaction agreements, transfer instruments, novations, releases, employment documents, IP and property instruments, filings, certificates, funds flow, and closing confirmations.
  7. Track each asset and liability. Specify transfer mechanism, consent, registration, tax or duty, effective date, consideration, custody, and evidence. Do not assume business transfer language moves assets requiring separate formality.
  8. Address creditor and stakeholder protection: security release or regrant, guarantees, covenants, minority rights, employee consultation or transfer, pensions, licences, permits, data, litigation, and customer or supplier continuity.
  9. Build the closing process with responsible owner, original or electronic document, signature method, escrow or release rule, filing order, evidence, and fallback if a condition fails.
  10. Create post-closing remediation and records: registers, certificates, beneficial ownership, accounting entries, tax elections or returns, notifications, licence updates, data migrations, document retention, dormant entity actions, and final structure verification.

Read the full file on GitHub · 58 lines

Files

What ships with it

1 file 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. 9d ago First seen · 58 lines · 107 tokens per session scan A d4a7d3934a44

Subscribe to this mod's changes

restructuring-documenter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 107 tokens to every session and 986 once invoked, about $0.0005 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 2026-09-03.

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