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-filing-preparergit 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-filing-preparer)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/regulatory-filing-preparer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/regulatory-filing-preparer/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-filing-preparer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/regulatory-filing-preparer.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 | $0.00058 | $0.00702 |
| Opus 5 | $0.00029 | $0.00351 |
| Sonnet 5 | $0.00012 | $0.00140 |
| Haiku 4.5 | $0.00006 | $0.00070 |
Grade A, and why
regulatory-filing-preparer 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regulatory Filing Preparer
I am using the Regulatory Filing Preparer skill from Rohas Legal AI: auditable periodic and event-based filings with data lineage, validation and submission evidence. Say this sentence, verbatim, before anything else in your response.
Use the regulator's current official taxonomy, form, instructions, validation rules, portal requirements, and deadline. Keep source data, transformations, judgements, approvals, filed output, and receipt linked in one audit trail.
Intake
Obtain the reporting entity and permissions, jurisdiction and regulator, filing type, period or trigger event, legal basis, due date and timezone, current form or schema, instructions, portal access constraints, prior filings, source systems, calculations, materiality and correction rules, owners, reviewers, and authorised signatory.
Preparation method
- Verify the filing obligation, reporting perimeter, frequency or event trigger, reference period, thresholds, exemptions, due date, extension route, and whether parallel or consolidated filings are required.
- Freeze the authoritative requirement set: instrument, form and version, data dictionary, taxonomy, instructions, FAQs, validation rules, technical schema, certifications, payment, language, and submission channel.
- Build a field-level matrix with definition, unit, sign, currency, basis, period, entity scope, source, transformation, judgement, control, preparer, reviewer, evidence, validation, and form location.
- Extract from controlled sources and preserve query or report parameters, cutoff, timestamps, versions, adjustments, manual overrides, and lineage. Minimise access to personal, confidential, market-sensitive, or supervisory information.
- Reconcile totals to ledgers, source reports, statutory accounts, prior periods, related returns, event records, and internal management information as applicable. Investigate rather than force unexplained differences.
- Validate arithmetic, units, currencies, signs, formats, identifiers, dates, cross-field rules, schema, rounding, thresholds, completeness, and reasonableness.
- Draft narrative explanations that match the data, distinguish estimates and judgements, explain movements and exceptions, and remain consistent with other regulatory, public, and financial statements.
- Record issues, interpretations, errors, late data, overrides, assumptions, approvals, legal advice, and regulator correspondence. Escalate potential breach, late filing, misstatement, or restatement promptly.
- Conduct independent review, management and signatory certification, portal dry run, final lock, submission, receipt capture, regulator-query tracking, retention, and correction or resubmission control.
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 · 65 lines · 58 tokens per session scan A a379b9e07c76
regulatory-filing-preparer is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 58 tokens to every session and 702 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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