jaz-tax-sg

jaz-tax-sg is a command for Claude Code from teamtinvio/jaz-ai. It costs 33 tokens per session (697 once invoked), scanned A, original, MIT.

A command for calculating Singapore company income tax for Form C-S or C-S Lite, using financial data from Jaz. It adjusts accounting profit for expenses and income treated differently for tax, then calculates tax payable.

In plain words
What is it for?
Use it for a Singapore Year of Assessment tax calculation, such as `/jaz-tax-sg YA 2026`, with either manual figures or structured financial input.
Why use it?
It brings together financial reports, tax classifications, capital allowances for business assets, and available exemptions in one computation.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the jaz-ai plugin — 7 skills, 22 commands shipped together

Good fit Use it for a Singapore Year of Assessment tax calculation, such as /jaz-tax-sg YA 2026, with either manual figures or structured financial input.

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Install with agentmods
npx agentmods add commands/teamtinvio/jaz-ai/jaz-tax-sg
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/teamtinvio/jaz-ai

Made for: Claude Code.

Or install jaz-ai, the plugin that ships this one along with the rest of its 7 skills, 22 commands.

Wrote this? Show the measurements

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agentmods badge for jaz-tax-sg

README.md
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Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 697 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 $0.00033 $0.00697
Opus 5 $0.00016 $0.00349
Sonnet 5 $0.00007 $0.00139
Haiku 4.5 $0.00003 $0.00070

Measured 11d ago against content hash dd5933a25aa5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

jaz-tax-sg 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 11d 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.

commands/jaz-tax-sg.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Singapore Tax Computation (Form C-S)

Execute the SG Form C-S tax computation via clio jobs statutory-filing sg-cs. Pulls data from Jaz, classifies GL items, and computes tax payable.

Usage

/jaz-tax-sg YA 2026
/jaz-tax-sg 2026 revenue 3M profit 500K

Workflow

1. Pull financial data from Jaz

clio reports generate profit-loss --from 2025-01-01 --to 2025-12-31 --json
clio reports generate trial-balance --to 2025-12-31 --json

2. Classify GL items

The wizard workflow (in the jaz-jobs skill reference files) guides you through:

  • Identifying non-deductible expenses (add-backs): entertainment, depreciation, donations, fines
  • Identifying non-taxable income (deductions): exempt dividends, gains on disposal
  • Capital allowance computation for fixed assets

3. Run the computation

Simple mode (manual flags):

clio jobs statutory-filing sg-cs \
  --ya 2026 \
  --revenue 3000000 \
  --profit 500000 \
  --depreciation 50000 \
  --exemption pte \
  --json

Full mode (structured input):

echo '{
  "ya": 2026,
  "revenue": 3000000,
  "adjustedProfit": 500000,
  "addBacks": {"depreciation": 50000, "entertainment": 5000},
  "capitalAllowances": 35000,
  "exemptionScheme": "pte"
}' | clio jobs statutory-filing sg-cs --input - --json

4. Capital allowance schedule (standalone)

clio jobs statutory-filing sg-ca \
  --ya 2026 \
  --cost 50000 \
  --category general \
  --acquired 2024-06-15 \
  --json

5. Review output

The computation produces:

  • Form C-S field values (18 fields for C-S, 6 for C-S Lite)
  • Workpaper with add-back details
  • Capital allowance schedule
  • Carry-forward amounts (losses, CA, donations)

Key Rules

  • YA (Year of Assessment) = FY + 1 (e.g., FY 2025 → YA 2026)
  • Form C-S eligibility: revenue ≤ $5M, no capital gains, no loss carry-back
  • Form C-S Lite: revenue ≤ $200K (simplified, 6 fields)
  • CIT rate: 17% flat
  • Exemption schemes: pte (partial tax exemption) or sute (start-up tax exemption, first 3 YAs)
  • Tax reference files are in the jaz-jobs skill: references/sg-tax/

Read the full file on GitHub · 87 lines

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. 11d ago First seen · 87 lines · 33 tokens per session scan A dd5933a25aa5

Subscribe to this mod's changes

jaz-tax-sg is a command published in the GitHub repository teamtinvio/jaz-ai (7 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 697 once invoked, about $0.0002 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.