securities-compliance-checker

securities-compliance-checker is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 54 tokens per session (864 once invoked), scanned A, original, MIT.

A transaction-specific checklist of Indian securities-law requirements for issuing, transferring, buying back, listing, or otherwise dealing with shares and other securities.

In plain words
What is it for?
It is for checking eligibility, pricing, approvals, disclosures, filings, deadlines, investor categories, and existing compliance problems.
Why use it?
It helps avoid applying the wrong rules to a public issue, private placement, debt transaction, takeover, or listed-company action.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the vclo-by-rohas plugin — 50 skills shipped together

Good fit It is for checking eligibility, pricing, approvals, disclosures, filings, deadlines, investor categories, and existing compliance problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/securities-compliance-checker
Install

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.

Any agent
npx skills add rohasnagpal/legal-ai-skills --skill securities-compliance-checker
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install vclo-by-rohas, the plugin that ships this one along with the rest of its 50 skills.

Wrote 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.

agentmods badge for securities-compliance-checker

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/securities-compliance-checker/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/securities-compliance-checker)
Your own site
<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.

agentmods 80×15 button for securities-compliance-checker

Your own site · 80×15
<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>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 864 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.00864
Opus 5.5 $0.00022 $0.00346
Sonnet 5.5 $0.00011 $0.00173
Haiku 4.5 $0.00005 $0.00086

Measured 1mo ago against content hash 9fb24b83a776, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

plugins/vclo-by-rohas/skills/securities-compliance-checker/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Securities Compliance Checker

Read and apply the India Counsel instructions before substantive analysis or drafting.

Jurisdiction gate

This skill applies Indian law and procedure only. Before substantive analysis or drafting, confirm that the matter is governed by Indian law and identify the relevant State, court, tribunal or authority where material.

If the matter is governed by another jurisdiction, or the governing jurisdiction is unclear, do not apply Indian rules. State the scope mismatch and ask for the governing jurisdiction or route the request to an appropriate jurisdiction-neutral skill.

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

  1. Classify the transaction. Identify primary or secondary, equity or debt, listed or unlisted, offer category, investor class and change-of-control implications.
  2. 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.
  3. 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.
  4. 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.
  5. Test approvals and intermediaries. Map board, shareholder, committee, exchange, SEBI and other approvals; required merchant bankers, trustees, registrars, depositories, rating agencies and monitoring agencies.
  6. Test pricing and allocation. Verify methodology, reference dates, valuation, floor or cap, reservations, allotment, payment and rounding with reproducible calculations.
  7. 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.
  8. Control information and conduct. Address UPSI, legitimate purpose, structured digital database, trading windows, selective disclosure, research, advertising and market-abuse risks.
  9. Build the timeline. Sequence approvals, record dates, filings, observations, opening, closing, allotment, listing, refunds and post-transaction reporting with owners.

Read the full file on GitHub · 55 lines

Files

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.

Changes

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.

  1. 1mo ago Changed · +2 lines 9fb24b83a776
  2. 1mo ago Changed · +7 lines 2b22368ac808
  3. 2mo ago First seen · 46 lines · 54 tokens per session scan A 90a1ad846214

Subscribe to this mod's changes

securities-compliance-checker is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (204 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 864 once invoked, about $0.0002 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 2026-09-03.

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