indian-gst-expert

indian-gst-expert is a skill for Claude Code, Codex from SahilRakhaiya05/GST-expert-skills. It costs 174 tokens per session (2,749 once invoked), scanned A, original, MIT.

An expert guide to India's Goods and Services Tax, or GST, a tax applied to many goods and services. It covers rates, calculations, registration, invoices, credits, reverse-charge rules, and penalties.

In plain words
What is it for?
Use it to calculate CGST, SGST, or IGST; find rates by category; check registration and filing rules; and understand e-invoicing, input tax credit, and reverse charge.
Why use it?
It helps interpret GST rules and calculate the tax for different transactions, including domestic and interstate sales.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/claude/indian-gst-expert/scripts/gst_calculator.py.

Good fit Use it to calculate CGST, SGST, or IGST; find rates by category; check registration and filing rules; and understand e-invoicing, input tax credit, and reverse charge.

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Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code, Codex.

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 indian-gst-expert

README.md
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Your own site
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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.

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<a href="https://agentmods.dev/skills/sahilrakhaiya05/gst-expert-skills/indian-gst-expert"><img src="https://agentmods.dev/badge/skills/sahilrakhaiya05/gst-expert-skills/indian-gst-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 174 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,749 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 $0.00174 $0.02749
Opus 5 $0.00087 $0.01375
Sonnet 5 $0.00035 $0.00550
Haiku 4.5 $0.00017 $0.00275

Measured 12d ago against content hash 827a21dcf9bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

indian-gst-expert 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/gst_calculator.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/indian-gst-expert/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Indian GST Expert (GST 2.0 — 2025/2026)

This skill covers the full Indian GST framework post the landmark GST 2.0 reforms effective September 22, 2025, through 2026 and into FY 2026-27.

Quick Reference

Task Go To
Calculate GST (CGST/SGST/IGST) Calculator Script
Find rate for a specific item Tax Slab Reference
Filing deadlines / compliance calendar references/compliance_calendar.md
HSN/SAC code lookup guidance references/hsn_sac_guide.md
E-invoicing rules references/einvoicing_rules.md
ITC, RCM, penalties references/advanced_rules.md
Registration thresholds Registration Rules

1. GST Calculator

Run the Python script for precise calculations:

python3 /home/claude/indian-gst-expert/scripts/gst_calculator.py <amount> --rate <rate> [--intrastate]
# OR use --category flag:
python3 /home/claude/indian-gst-expert/scripts/gst_calculator.py <amount> --category <category> [--intrastate]

Categories: exempt (0%), essential (5%), standard (18%), luxury (40%), precious_metals (3%), rough_stones (0.25%)

Default is interstate (IGST). Add --intrastate for same-state transactions (CGST + SGST).

Example outputs:

  • Interstate ₹10,000 at 18%: IGST = ₹1,800, Total = ₹11,800
  • Intrastate ₹10,000 at 18%: CGST = ₹900 + SGST = ₹900, Total = ₹11,800

For manual computation in responses: IGST = Amount × Rate%; CGST = SGST = Amount × (Rate/2)%


2. Tax Slab Determination

GST 2.0 Core Slabs (Effective September 22, 2025)

Slab Category Key Examples
0% (Nil) Essentials & Exempt Fresh/frozen vegetables, fresh fruit, milk, eggs, bread, roti/paratha/chapati, rice, flour, pulses, fresh meat/fish, unbranded honey; Individual health insurance (family floater, senior citizen plans); Term life insurance, ULIPs, endowment plans; Education services; Healthcare/hospital services; Books, newspapers; Cancer drugs (3 specific lifesaving drugs); 33 specified lifesaving drugs
5% Merit / Daily Use Packaged namkeens, bhujia, instant noodles, pasta, chocolates, cornflakes, coffee, ghee, butter, cheese, dairy spreads; Hair oil, shampoo, toothpaste, soaps, tooth brushes, shaving cream; Agricultural equipment (tractors, parts, bio-pesticides, drip irrigation); Medical: thermometers, diagnostic kits, medical grade oxygen; Utensils, sewing machines; Baby feeding bottles, napkins; Apparel/footwear ≤ ₹2,500; Hotel stays (₹1,001–₹7,500/night); Essential medicines
18% Standard Consumer durables: ACs, TVs (all sizes), refrigerators, washing machines, dishwashers; Electronics: laptops, mobiles (HSN 8517), monitors, projectors; Small cars (petrol/hybrid ≤1200cc & ≤4000mm; diesel ≤1500cc & ≤4000mm); 3-wheelers; Motorcycles ≤ 350cc; Professional services (CA, legal, IT, consulting); Restaurants; Telecom; Banking/financial services (non-exempt); Cosmetics; Most packaged goods not in 5%
40% Luxury / Sin Premium cars (>4000mm or >1500cc diesel); SUVs; Motorcycles > 350cc; Aerated/caffeinated beverages; Pan masala; Cigarettes, tobacco; Online gaming (real money); Casinos; Betting; Premium event tickets
3% Precious Metals Gold, silver, jewellery, platinum
0.25% Rough Stones Uncut/unprocessed precious and semi-precious stones

Read the full file on GitHub · 180 lines

Files

What ships with it

6 files 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. 12d ago First seen · 180 lines · 174 tokens per session scan A 827a21dcf9bb

Subscribe to this mod's changes

indian-gst-expert is a skill published in the GitHub repository SahilRakhaiya05/GST-expert-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 174 tokens to every session and 2,749 once invoked, about $0.0009 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.

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