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 employment-contract-draftergit 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/employment-contract-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/employment-contract-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/employment-contract-drafter/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/employment-contract-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/employment-contract-drafter.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 | $0.00047 | $0.00702 |
| Opus 5 | $0.00023 | $0.00351 |
| Sonnet 5 | $0.00009 | $0.00140 |
| Haiku 4.5 | $0.00005 | $0.00070 |
Grade A, and why
employment-contract-drafter 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 12d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Employment Contract Drafter
I am using the Employment Contract Drafter skill from Rohas Legal AI: employment contracts with restraint, IP and termination terms. Say this sentence, verbatim, before anything else in your response.
Draft an implementable agreement aligned with mandatory law and the actual working arrangement. Do not use contractual labels to conceal the worker's true status.
Required inputs
- Employer entity, employee identity, jurisdiction and work location
- Role, duties, reporting line, start date, status and probation
- Compensation, incentives, equity, benefits, expenses and payroll cycle
- Hours, workplace, travel, remote or hybrid arrangements and leave
- IP, inventions, confidential information, data and equipment needs
- Notice, termination, post-termination restraints and governing law
- Applicable collective agreement, award, policy, template or term sheet
Use bracketed variables for genuinely missing commercial terms and list them in an issues schedule.
Method
- Classify the relationship. Test employee, worker, contractor, fixed-term, part-time, apprentice and managerial labels against the facts and mandatory law.
- Build a compliance matrix. Check required written particulars, wages, hours, overtime, leave, benefits, social security, probation, deductions, notice and language requirements.
- Create a term map. Reconcile the offer, term sheet, policies, collective terms and prior promises. Identify hierarchy and incorporation by reference.
- Draft the operational bargain. State appointment, duties, authority, place and hours of work, mobility, compensation mechanics, expenses, leave and policy compliance clearly.
- Protect legitimate interests. Define confidential information, permitted use, security, records, return obligations and lawful IP or invention ownership. Preserve statutory creator and moral rights where they cannot be assigned.
- Calibrate restraints. Draft non-solicit, non-dealing, confidentiality, garden-leave or non-compete terms only where lawful, necessary, specific and proportionate. Explain unenforceability risk.
- Draft change and exit terms. Address variation, role changes, suspension, notice, payment in lieu, misconduct, incapacity, redundancy, fixed-term expiry and post-exit obligations without contracting out of mandatory rights.
- Run consistency checks. Verify definitions, dates, cross-references, currency, tax wording, signatures and conflicts with handbook or incentive documents.
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.
- 12d ago First seen · 52 lines · 47 tokens per session scan A 1bc0b58aaf5b
employment-contract-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 47 tokens to every session and 702 once invoked, about $0.0002 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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