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 skills add OneWave-AI/claude-skills --skill bookkeeping-closegit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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/skills/onewave-ai/claude-skills/bookkeeping-close)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/bookkeeping-close"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/bookkeeping-close/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.
<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/bookkeeping-close"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/bookkeeping-close.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00174 | $0.01669 |
| Opus 5.5 | $0.00070 | $0.00668 |
| Sonnet 5.5 | $0.00035 | $0.00334 |
| Haiku 4.5 | $0.00017 | $0.00167 |
Grade A, and why
bookkeeping-close 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 23d 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bookkeeping Close
A reconciliation proves that the books and the bank agree once timing is accounted for. Models get this wrong in predictable ways: they flip signs, treat an uncleared check as an error, count a transfer between the business's own accounts as income, miss a transaction imported twice, and force the rec to zero with an adjustment. This skill exists to prevent each of those. The deterministic matching lives in scripts/reconcile.py; the judgment lives here.
Scope: bookkeeping, not tax. When an item has a tax consequence (capitalize vs expense, owner draws vs wages, sales tax, 1099 status, meals deductibility), record the bookkeeping fact and put it on the accountant list. Do not give tax advice.
Inputs to collect
For each account being reconciled (checking, savings, each credit card, loan, payment processor clearing):
- Statement for the period: ending date, beginning balance, ending balance. Take the balances from the statement itself, not from the feed, because feeds can be incomplete.
- Statement lines: bank CSV/OFX, Mercury export or
listTransactions, or the platform's statement lines. - Ledger for the same account: QBO register or Transaction Detail by Account, Xero Account Transactions. Export from the date of the oldest uncleared item, not the period start, so prior-period outstanding checks can clear.
- Book balance at period start or end for that account.
- Chart of accounts, and any existing bank rules.
See references/platform-notes.md for export paths, column formats, and connector limits. Neither the QuickBooks Online API nor the Xero Accounting API can mark items reconciled; reconciliation is always finished inside the product.
Workflow
1. Normalize
Convert every file to one convention: amount is the signed change to the balance the statement reports. For a bank account, deposits positive. For a card, charges positive. Watch the word "debit": on a bank statement it means money out, in a general ledger it means money into a cash account. reconcile.py handles both and prints which reading it used. Confirm dates are parsed in the right day/month order before trusting anything.
What ships with it
8 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.
- examples/fixtures/bank_statement.csv 679 B
- examples/fixtures/ledger.csv 1.2 KB
- examples/run_fixtures.sh 1.7 KB runs code
- examples/worked-example.md 5.9 KB
- references/categorization-rules.md 6.0 KB
- references/close-checklist.md 6.0 KB
- references/platform-notes.md 8.8 KB
- scripts/reconcile.py 28 KB runs code
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.
- 23d ago First seen · 83 lines · 174 tokens per session scan A b1e06de7c53d
bookkeeping-close is a skill published in the GitHub repository OneWave-AI/claude-skills (349 stars, last pushed 15d ago), licensed MIT. It adds 174 tokens to every session and 1,669 once invoked, about $0.0007 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 2026-09-24.
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