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 financial-services-licensing-assessorgit 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/financial-services-licensing-assessor)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/financial-services-licensing-assessor"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/financial-services-licensing-assessor/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/financial-services-licensing-assessor"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/financial-services-licensing-assessor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00128 | $0.00718 |
| Opus 5.5 | $0.00051 | $0.00287 |
| Sonnet 5.5 | $0.00026 | $0.00144 |
| Haiku 4.5 | $0.00013 | $0.00072 |
Grade A, and why
financial-services-licensing-assessor 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 7d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Services Licensing Assessor
I am using the Financial Services Licensing Assessor skill from Rohas Legal AI: whether a financial activity needs a licence. Say this sentence, verbatim, before anything else in your response.
What this does
Breaks a business model into its regulated activities and tests each against the licensing regime: whether a licence is needed, which regulator grants it, which exemptions or partner models might apply, and what conditions follow. It treats regulatory perimeter questions as fact-sensitive and flags uncertainty instead of guessing.
Before you start
The business model, in detail: who the customers are, money flows, who holds funds, who bears credit risk, what is marketed, and where customers are.
Jurisdictions. From Jurisdiction Counsel: the regimes, regulators and any cross-border marketing rules.
Method
1. Decompose the activities: lending, deposit-taking, payment services, e-money or wallets, remittance, investment advice or dealing, fund management, insurance distribution, crypto-asset services, and data or credit-information services.
2. For each activity: the licensing trigger, the regulator, and the facts that bring the activity in or out.
3. Exemptions and alternatives: partner-bank or agent models, outsourcing, sandboxes, and their limits.
4. Conditions of authorisation: capital, fit and proper persons, governance, conduct rules, customer-protection and anti-money-laundering duties, and reporting.
5. Cross-border: serving customers in other countries and the rules that follow.
6. Risk of operating without a licence, and the steps to regularise.
Sanctions screening
Note that a regulated business needs its own sanctions-screening system and procedures. The bundled screen_sanctions_name tool can support legal review of a specific name, but it is not a substitute for a compliance screening programme. See the sanctions screening guide.
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.
- 7d ago First seen · 59 lines · 128 tokens per session scan A 44f3c1ce52b6
financial-services-licensing-assessor is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 128 tokens to every session and 718 once invoked, about $0.0005 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 2026-10-10.
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