advise

advise is a command for Claude Code from ishwarjha/legalant. It costs 10 tokens per session (275 once invoked), scanned A, original, MIT.

A regulatory-scope mapping command for checking which Indian laws and regulators may apply to a transaction or business activity. It covers areas including finance, securities, company law, foreign investment, insurance, data protection, tax, and competition.

In plain words
What is it for?
Use it to map the regulatory perimeter of deals and business activities, then create an advisory note covering legal requirements and practical transaction issues.
Why use it?
It reduces the risk of overlooking an approval, filing, restriction, or regulator during early transaction planning.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents.

Part of the legalant plugin — 4 skills, 16 commands, 18 agents shipped together

Good fit Use it to map the regulatory perimeter of deals and business activities, then create an advisory note covering legal requirements and practical transaction issues.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/ishwarjha/legalant/advise
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.

Clone the repo
git clone --depth 1 https://github.com/ishwarjha/legalant

Made for: Claude Code.

Or install legalant, the plugin that ships this one along with the rest of its 4 skills, 16 commands, 18 agents.

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 advise

README.md
[![agentmods](https://agentmods.dev/badge/commands/ishwarjha/legalant/advise/github.svg)](https://agentmods.dev/commands/ishwarjha/legalant/advise)
Your own site
<a href="https://agentmods.dev/commands/ishwarjha/legalant/advise"><img src="https://agentmods.dev/badge/commands/ishwarjha/legalant/advise/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 advise

Your own site · 80×15
<a href="https://agentmods.dev/commands/ishwarjha/legalant/advise"><img src="https://agentmods.dev/badge/commands/ishwarjha/legalant/advise.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 275 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.
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 $0.00010 $0.00275
Opus 5 $0.00005 $0.00138
Sonnet 5 $0.00002 $0.00055
Haiku 4.5 $0.00001 $0.00028

Measured 12d ago against content hash e789c51d7593, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

advise 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 12d 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.

legalant/commands/advise.md · 32 lines

What it actually says

Invoke the advisory-orchestrator sub-agent for regulatory perimeter mapping.

Advisory query or transaction details:

$ARGUMENTS

The agent will map the regulatory perimeter across 8 Indian regulators:

  1. RBI (FEMA, banking, NBFCs)
  2. SEBI (securities, capital markets, listed entities)
  3. MCA (company law, ROC filings)
  4. FEMA (cross-border transactions, ECB, FDI/ODI)
  5. IRDAI (insurance)
  6. DPDP Act 2023 (data protection, Section 16 cross-border)
  7. GST/CBDT (tax implications)
  8. CCI (competition, combinations)

Then apply Three Pillars quality check:

  • Integrity to Transaction — does the advice match the deal?
  • Commercial Reasonableness — is it practically achievable?
  • Trust-Based Drafting — is the language clear and enforceable?

Generates advisory-note-[YYYYMMDD-HHMM].docx + .html

HITL Gate 1 — scope approval HITL Gate 2 — advisory note approval (ABSOLUTE)

Usage: /advise Singapore entity acquiring 74% in Indian SaaS company — FEMA, SEBI, and competition law

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. 12d ago First seen · 32 lines · 10 tokens per session scan A e789c51d7593

Subscribe to this mod's changes

advise is a command published in the GitHub repository ishwarjha/legalant (6 stars, last pushed 4mo ago), licensed MIT. It adds 10 tokens to every session and 275 once invoked, about $0.0001 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 2026-08-31.