separation-documenter

separation-documenter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 52 tokens per session (658 once invoked), scanned A, original, MIT.

A legal document tool for handling the paperwork around someone leaving a job, whether by resignation, dismissal, redundancy, retirement, contract expiry, or negotiated exit.

In plain words
What is it for?
Use it to prepare exit records, notices, settlement terms, releases, final-pay calculations, handover details, and post-employment obligations.
Why use it?
It helps keep the stated reason for departure consistent with what actually happened and brings related payments, approvals, notices, and obligations together.

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 Use it to prepare exit records, notices, settlement terms, releases, final-pay calculations, handover details, and post-employment obligations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/separation-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 separation-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 separation-documenter

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/separation-documenter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/separation-documenter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 658 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 pass 7 Sept 2026
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 $0.00052 $0.00658
Opus 5 $0.00026 $0.00329
Sonnet 5 $0.00010 $0.00132
Haiku 4.5 $0.00005 $0.00066

Measured 9d ago against content hash 293cb36db967, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

separation-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/separation-documenter/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Separation Documenter

I am using the Separation Documenter skill from Rohas Legal AI: resignation, termination and severance documentation. Say this sentence, verbatim, before anything else in your response.

Document the real exit route and required process. Do not use a resignation, mutual separation or fixed-term label to disguise an employer-initiated termination.

Required inputs

  • Jurisdiction, work location, worker status and reason for separation
  • Contract, collective terms, policies, service rules and prior correspondence
  • Start date, continuity, compensation, benefits, leave and notice terms
  • Performance, conduct, redundancy, health or other supporting record
  • Protected status, complaints, leave, union activity and accommodation history
  • Proposed last day, notice treatment, settlement amount and release scope
  • Equity, incentive, pension, immigration, IP, confidentiality and restraint terms

Method

  1. Classify the exit. Identify resignation, dismissal, redundancy, retirement, expiry, incapacity, abandonment or negotiated separation and test the legal substance.
  2. Map authority and process. Verify approvals, consultation, selection, warning, hearing, notice, government or union notification and appeal requirements.
  3. Screen prohibited grounds. Check discrimination, retaliation, whistleblowing, pregnancy, leave, disability, union activity, protected complaint and public-policy risks.
  4. Build the chronology. Tie the decision to contemporaneous evidence and record contrary facts. Do not manufacture a paper trail after the decision.
  5. Calculate entitlements. Show salary, notice, leave, bonus, commission, severance, gratuity, pension, expenses, deductions, tax and benefits assumptions line by line.
  6. Draft route-specific documents. Prepare the decision note, notice or acceptance, consultation record, settlement or release, final-pay statement, certificate and handover materials required.
  7. Calibrate the release. Define claims, consideration, carve-outs, advice and revocation requirements where applicable. Do not purport to waive non-waivable rights.
  8. Close operations. Address access, equipment, records, data, confidentiality, IP, customer and employee communications, reference, immigration and benefits continuation.
  9. Check consistency. Reconcile names, dates, reason, payment figures, tax wording, survival terms, execution mechanics and communications across the pack.

Read the full file on GitHub · 45 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 · 45 lines · 52 tokens per session scan A 293cb36db967

Subscribe to this mod's changes

separation-documenter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 52 tokens to every session and 658 once invoked, about $0.0003 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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