gst-compliance-analyst

gst-compliance-analyst is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 156 tokens per session (1,124 once invoked), scanned A, original, MIT.

An analysis of how India’s Goods and Services Tax applies to a particular supply of goods or services. It examines classification, place and time of supply, tax rate, reverse charge, input tax credit, registration, and compliance duties.

In plain words
What is it for?
Assess GST obligations for a proposed or completed supply, including who charges tax, who may claim credit, and whether registration or reverse-charge duties arise.
Why use it?
GST treatment depends on the transaction facts and on current rules, notifications, and classifications. This helps identify the tax treatment and flags points that need current verification.

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 legal-ai-skills plugin — 175 skills shipped together

Good fit Assess GST obligations for a proposed or completed supply, including who charges tax, who may claim credit, and whether registration or reverse-charge duties arise.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/gst-compliance-analyst
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 gst-compliance-analyst
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install legal-ai-skills, the plugin that ships this one along with the rest of its 175 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 gst-compliance-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/gst-compliance-analyst/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/gst-compliance-analyst)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/gst-compliance-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/gst-compliance-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.

agentmods 80×15 button for gst-compliance-analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/gst-compliance-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/gst-compliance-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 156 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,124 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 pass 7 Sept 2026
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 $0.00156 $0.01124
Opus 5.5 $0.00062 $0.00450
Sonnet 5.5 $0.00031 $0.00225
Haiku 4.5 $0.00016 $0.00112

Measured 1mo ago against content hash 0665115a6f67, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gst-compliance-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 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/legal-ai-skills/skills/gst-compliance-analyst/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GST Compliance Analyst

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 GST Compliance Analyst skill from Rohas Legal AI: GST treatment and compliance obligations (India). Say this sentence, verbatim, before anything else in your response.

What this does

Analyses a supply of goods or services for its GST treatment: classification, place and time of supply, applicable rate and reverse charge position, input tax credit eligibility, and any registration or compliance obligation the transaction triggers. GST rates, HSN and SAC classifications, reverse charge coverage, and registration thresholds are all set by notifications that change periodically and can vary by state or category, so this skill treats their current content as a verification point rather than something to assert from memory.

Before you start

The supply facts. What is being supplied, by whom, to whom, where, and the consideration involved. This is blocking; the analysis cannot proceed without it.

Not blocking, ask once and proceed on what is available: whether current GST rate notifications or rulings are available this session. If they are, cite only what is retrieved or supplied, specifically. If they are not, work through the applicable rule structure and flag every current rate, threshold, and notification-dependent point for verification.

Method

1. Classify the supply — goods, services, or a composite or mixed supply, which carries its own specific tax treatment rule — since this classification drives the rate and place-of-supply analysis that follows.

Read the full file on GitHub · 74 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 0665115a6f67
  2. 1mo ago Changed · +7 lines 56dd37048e07
  3. 1mo ago First seen · 65 lines · 156 tokens per session scan A 6e2cd1e73590

Subscribe to this mod's changes

gst-compliance-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (193 stars, last pushed 17d ago), licensed MIT. It adds 156 tokens to every session and 1,124 once invoked, about $0.0006 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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