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.
npx skills add rohasnagpal/legal-ai-skills --skill separation-documentergit clone --depth 1 https://github.com/rohasnagpal/legal-ai-skillsWrote 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.
[](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/separation-documenter)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.00658 |
| Opus 5.5 | $0.00021 | $0.00263 |
| Sonnet 5.5 | $0.00010 | $0.00132 |
| Haiku 4.5 | $0.00005 | $0.00066 |
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 2mo 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.
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
- Classify the exit. Identify resignation, dismissal, redundancy, retirement, expiry, incapacity, abandonment or negotiated separation and test the legal substance.
- Map authority and process. Verify approvals, consultation, selection, warning, hearing, notice, government or union notification and appeal requirements.
- Screen prohibited grounds. Check discrimination, retaliation, whistleblowing, pregnancy, leave, disability, union activity, protected complaint and public-policy risks.
- Build the chronology. Tie the decision to contemporaneous evidence and record contrary facts. Do not manufacture a paper trail after the decision.
- Calculate entitlements. Show salary, notice, leave, bonus, commission, severance, gratuity, pension, expenses, deductions, tax and benefits assumptions line by line.
- Draft route-specific documents. Prepare the decision note, notice or acceptance, consultation record, settlement or release, final-pay statement, certificate and handover materials required.
- Calibrate the release. Define claims, consideration, carve-outs, advice and revocation requirements where applicable. Do not purport to waive non-waivable rights.
- Close operations. Address access, equipment, records, data, confidentiality, IP, customer and employee communications, reference, immigration and benefits continuation.
- Check consistency. Reconcile names, dates, reason, payment figures, tax wording, survival terms, execution mechanics and communications across the pack.
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.
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.
- 2mo ago First seen · 45 lines · 52 tokens per session scan A 293cb36db967
separation-documenter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (204 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 658 once invoked, about $0.0002 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 2026-09-03.
separation-documenter compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| separation-documenterrohasnagpal/legal-ai-skills | Skill | 204 | 1mo ago | MIT | A | 52 | Claude Code, Codex |
| korean-lawchrisryugj/korean-law-mcp | Skill | 2.9k | 7d ago | MIT | A | 85 | Claude Code |
| engagement-terms-billing-guidelineslawve-ai/awesome-legal-skills | Skill | 939 | 21d ago | none | A | 180 | Claude Code, Codex |
| founder-agreement-drafting-stephane-boghossianlawve-ai/awesome-legal-skills | Skill | 939 | 21d ago | none | A | 194 | Claude Code |
| matter-intake-scoping-scott-margettslawve-ai/awesome-legal-skills | Skill | 939 | 21d ago | none | A | 145 | Claude Code, Codex |
| ai-governance-reviewer-carl-ditzlerlawve-ai/awesome-legal-skills | Skill | 939 | 21d ago | none | A | 121 | Claude Code, Codex |
| bacen-compliance-sentinel-rafael-mastronardilawve-ai/awesome-legal-skills | Skill | 939 | 21d ago | none | A | 252 | Claude Code, Codex |