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 licence-application-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/licence-application-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/licence-application-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/licence-application-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/licence-application-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/licence-application-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 | $0.00063 | $0.00726 |
| Opus 5 | $0.00032 | $0.00363 |
| Sonnet 5 | $0.00013 | $0.00145 |
| Haiku 4.5 | $0.00006 | $0.00073 |
Grade A, and why
licence-application-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 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Licence Application Drafter
I am using the Licence Application Drafter skill from Rohas Legal AI: complete licence and registration applications with requirements, evidence and conditions. Say this sentence, verbatim, before anything else in your response.
Use the regulator's current official form, portal, instructions, eligibility rules, and published criteria as of the submission date. Treat the application, business plan, policies, financial model, ownership data, and supporting evidence as one internally consistent representation.
Intake
Obtain the jurisdiction, proposed regulated activity, products, customers, channels, territories, applicant and group structure, controllers and beneficial owners, management, finances, premises, systems, outsourcing, policies, prior licences, regulatory history, desired launch date, and regulator correspondence.
Preparation method
- Confirm the correct regulator, permission category, territorial scope, applicant entity, application type, prerequisites, exclusions, transition, and whether any activity must stop until approval is granted.
- Freeze the current requirements set: statute, rules, licence criteria, form and version, guidance, checklist, portal fields, fees, declarations, translations, notarisation, certifications, and processing timetable.
- Build a requirement matrix for eligibility, legal form, ownership and control, fit and proper status, capital and liquidity, governance, key personnel, premises, insurance, systems, cybersecurity, outsourcing, complaints, reporting, and records.
- Map every answer to evidence and an accountable owner. Verify identity, names, dates, percentages, group relationships, financial figures, forecasts, policies, incidents, litigation, enforcement, and other applications across all documents.
- Write the business and operating model in concrete terms: activity, customer journey, revenue, money or data flows, controls, staffing, vendors, resilience, wind-down or continuity, and phased implementation.
- Identify gaps against approval criteria. Classify each as pre-filing blocker, application commitment, proposed condition, regulator question, or post-approval obligation; use evidence-based dates and do not conceal material weaknesses.
- Draft responses in the form's order and vocabulary while preserving material nuance. Explain exceptions, adverse matters, corrective action, dependencies, and assumptions instead of forcing inaccurate yes-or-no answers.
- Run completeness, consistency, legal, financial, privacy, privilege, signature, payment, format, and portal checks. Prepare likely regulator follow-up and a controlled update process for facts changing before decision.
- Build a conditions and obligations register for commencement, renewal, reporting, notifications, fees, capital, audits, records, public disclosures, and variations.
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.
- 9d ago First seen · 67 lines · 63 tokens per session scan A 6ff3e3d4acfe
licence-application-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 63 tokens to every session and 726 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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