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 securities-compliance-checkergit 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/securities-compliance-checker)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/securities-compliance-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/securities-compliance-checker/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/securities-compliance-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/securities-compliance-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 43 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00054 | $0.00754 |
| Opus 5 | $0.00027 | $0.00377 |
| Sonnet 5 | $0.00011 | $0.00151 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
securities-compliance-checker 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Securities Compliance Checker
I am using the Securities Compliance Checker skill from Rohas Legal AI: securities law obligations on an issue or transaction (India). Say this sentence, verbatim, before anything else in your response.
Build a transaction-specific compliance map from current primary sources. Do not assume the rules for an equity public issue apply to debt, private placement, listed-company action or secondary acquisition.
Required inputs
- Issuer or target entity, group, listed status and stock exchanges
- Security or instrument, transaction type, size, price and consideration
- Public, private, rights, preferential, institutional or cross-border route
- Promoters, controllers, directors, related parties and major holders
- Investor categories, foreign participation and beneficial ownership
- Proposed dates, approvals, advisers, use of proceeds and existing filings
- Unpublished price-sensitive information, trading-window and disclosure status
- Prior issuances, defaults, investigations, exemptions and compliance gaps
Method
- Classify the transaction. Identify primary or secondary, equity or debt, listed or unlisted, offer category, investor class and change-of-control implications.
- Map the rule set. Apply only relevant provisions of the Companies Act and rules, SEBI Act, SCRA and SCRR, Depositories Act, exchange rules and current SEBI regulations such as ICDR, LODR, NCS, SAST, PIT, buyback or delisting rules.
- Verify currency. Use consolidated regulations, amendments, master circulars, informal guidance and exchange notices effective on the transaction date. Label consultations and drafts as non-binding.
- Test eligibility and structure. Check issuer, promoter and investor eligibility, instrument terms, minimum or maximum size, public float, lock-in, objects, end-use and restrictions.
- Test approvals and intermediaries. Map board, shareholder, committee, exchange, SEBI and other approvals; required merchant bankers, trustees, registrars, depositories, rating agencies and monitoring agencies.
- Test pricing and allocation. Verify methodology, reference dates, valuation, floor or cap, reservations, allotment, payment and rounding with reproducible calculations.
- Build disclosures. Map offer-document, exchange, event, beneficial-ownership, related-party, encumbrance, insider and use-of-proceeds disclosures. Identify due-diligence evidence and sign-offs.
- Control information and conduct. Address UPSI, legitimate purpose, structured digital database, trading windows, selective disclosure, research, advertising and market-abuse risks.
- Build the timeline. Sequence approvals, record dates, filings, observations, opening, closing, allotment, listing, refunds and post-transaction reporting with owners.
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 · 46 lines · 54 tokens per session scan A 90a1ad846214
securities-compliance-checker is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 54 tokens to every session and 754 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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