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.
npx agentmods add commands/michielinksee/bantou/setupgit clone --depth 1 https://github.com/michielinksee/bantouWrote 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.
[](https://agentmods.dev/commands/michielinksee/bantou/setup)<a href="https://agentmods.dev/commands/michielinksee/bantou/setup"><img src="https://agentmods.dev/badge/commands/michielinksee/bantou/setup.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00605 |
| Opus 5 | $0.00008 | $0.00302 |
| Sonnet 5 | $0.00003 | $0.00121 |
| Haiku 4.5 | $0.00002 | $0.00060 |
Grade A, and why
setup 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 5d 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.
What it actually says
/bantou:setup
Initial firm onboarding. Conducts a guided interview to configure the plugin for the tax accountant's office.
Usage
/jp-accounting:setup
No arguments required. The command starts an interactive interview.
Interview flow (approximately 10 minutes)
The setup agent asks the following 8 questions in sequence. Each question adapts based on previous answers.
Q1. Firm name (事務所名)
"事務所名を教えてください。"
Q2. Client count (顧問先数)
"顧問先は何社ぐらいありますか?(概算で構いません)"
Q3. Primary accounting software (メインの会計ソフト)
"メインで使っている会計ソフトを教えてください。" Options: freee / 弥生会計 / MFクラウド / TKC / 複数併用
Q4. Meal expense threshold (会議費・交際費の区分基準)
"飲食代の会議費/交際費の区分は、1人あたり何円を基準にしていますか?" Default: ¥5,000 (tax law standard) or ¥10,000 (2024 revision)
Q5. Overseas SaaS handling (海外SaaSの処理)
"海外SaaS(AWS, GitHub, Slack等)の仕訳ルールを教えてください。" Covers: reverse charge, withholding tax, yen conversion timing
Q6. Invoice system status (インボイス制度対応)
"適格請求書発行事業者の登録番号をお持ちですか? 免税事業者の顧問先はありますか?"
Q7. Payroll processing (給与計算)
"給与計算も事務所で処理していますか? 使用している給与ソフトがあれば教えてください。"
Q8. Report sharing method (レポート共有方法)
"顧問先へのレポート共有はどの方法がメインですか?" Options: email / chatwork / LINE WORKS / Slack / PDF郵送
Output
After the interview, the setup command:
- Generates a customized
CLAUDE.mdfrom the standard baseline template - Configures the keyword dictionary based on the firm's conventions
- Suggests freee/Yayoi API connection setup if applicable
- Saves the firm profile to
data/firm-profile.json
Notes
- Setup can be re-run at any time to update the configuration
- All answers are stored locally, never sent to cloud services
- The generated CLAUDE.md can be manually edited afterward
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.
- 5d ago First seen · 75 lines · 16 tokens per session scan A b18798ee6c41
setup is a command published in the GitHub repository michielinksee/bantou (2 stars, last pushed 14d ago), licensed MIT. It adds 16 tokens to every session and 605 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.
Other commands, from other repositories
ingest
Ingest financial data (bank/credit-card statements, CSV exports, receipts, or a plain-text description) into the book as validated double-entry transactions.
init
Initialise Countbean — connect to your hosted book (approving in the browser) or create a local one, plus a starter chart of accounts.
assess
Review the book and report what the numbers actually show — run rate, categories, changes, unusual entries, and gaps in the data.
connect
Connect Claude to your hosted Countbean book — approve it in your browser, or paste a key you already have.
report
Generate a financial report from the book — a styled HTML page and/or an Excel workbook (balance sheet, income statement, transactions).
status
Show the current state of your Countbean book — balances, net worth, account count, and recent changes.