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 regulatory-applicability-analystgit 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/regulatory-applicability-analyst)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/regulatory-applicability-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/regulatory-applicability-analyst/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/regulatory-applicability-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/regulatory-applicability-analyst.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 | $0.00065 | $0.00695 |
| Opus 5 | $0.00032 | $0.00347 |
| Sonnet 5 | $0.00013 | $0.00139 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
regulatory-applicability-analyst 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regulatory Applicability Analyst
I am using the Regulatory Applicability Analyst skill from Rohas Legal AI: regulator and instrument mapping from current official text, with verification gaps reported. Say this sentence, verbatim, before anything else in your response.
Ask "who regulates what, where, when, and why" before listing obligations. Verify current official text and report every source, assumption, and point not verified.
Intake
Obtain the analysis date, entities and group roles, legal form, activities, products, services, assets, customers, counterparties, locations, channels, transaction and data flows, revenue, thresholds, licences, outsourcing, agents, planned changes, and the business question or decision the analysis must support.
Analysis method
- Build a factual perimeter map by entity, role, activity, product, customer, counterparty, asset, location, solicitation, delivery channel, and lifecycle.
- Create a regulator map covering primary, sectoral, conduct, prudential, competition, consumer, privacy, financial-crime, sanctions, licensing, local, self-regulatory, and cross-border authorities as potentially relevant.
- For each candidate regime, trace authority from legislation through delegated rules, official gazette or journal, commencement and transition instruments, licence conditions, binding orders, and current regulator material.
- Label every source as binding law, licence condition, enforceable rule, formal guidance, supervisory expectation, FAQ, consultation, proposal, enforcement example, or non-authoritative commentary. Do not collapse these categories.
- Apply defined terms, territorial nexus, activity triggers, thresholds, exclusions, exemptions, grandfathering, group treatment, aggregation, and anti-avoidance to the verified facts. State the counter-analysis where classification is uncertain.
- Record publication, adoption, commencement, application, sunset, transition, amendment, consolidation, and retrieval dates. Check corrigenda and later measures.
- Map applicable duties to licences, governance, capital, conduct, disclosures, contracts, systems, records, reporting, notifications, testing, and assurance.
- Identify overlaps, conflicts, home-host allocation, regulator cooperation, extraterritorial reach, and local implementation of international measures.
- Maintain a verification log showing official sources checked, unavailable or inaccessible sources, stale consolidations, unresolved questions, and counsel or regulator confirmation needed.
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 · 63 lines · 65 tokens per session scan A 91b87163c732
regulatory-applicability-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 65 tokens to every session and 695 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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