Borrowing it
Nothing to install: this file belongs to audrey-560/bookkeeper-starter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/audrey-560/bookkeeper-starter/main/.claude/skills/monthly-close/SKILL.mdgit clone --depth 1 https://github.com/audrey-560/bookkeeper-starterWrote 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/audrey-560/bookkeeper-starter/monthly-close)<a href="https://agentmods.dev/skills/audrey-560/bookkeeper-starter/monthly-close"><img src="https://agentmods.dev/badge/skills/audrey-560/bookkeeper-starter/monthly-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/audrey-560/bookkeeper-starter/monthly-close"><img src="https://agentmods.dev/badge/skills/audrey-560/bookkeeper-starter/monthly-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 | $0.00080 | $0.01802 |
| Opus 5 | $0.00040 | $0.00901 |
| Sonnet 5 | $0.00016 | $0.00360 |
| Haiku 4.5 | $0.00008 | $0.00180 |
Grade A, and why
monthly-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 10d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What This Skill Does
Runs the full monthly close for one bookkeeper client, ending in a locked period.
Every cloud write pauses for the user's confirmation (dry-run first, then --commit).
Never auto-commit.
Context
- First
cdto the project root — all paths relative to it. - Client resolution: if
$1is a client slug (a dir underclients/), use it and pass--client <slug>to every tool; otherwise the default client is used (no flag needed). The month is the remaining argument, else the previous calendar month. - Suppress noisy warnings:
2>&1 | grep -v -E "Warning|warnings.warn|urllib3|google-auth|eol_message" - Secrets come from
clients/<slug>/.envvia each tool's client context — never hardcode.
Steps
1. Resolve client + month; open the close.
State both back to the user. Optional safety snapshot: python3 tools/snapshot_spreadsheet.py.
Then python3 tools/close_period.py check --period <MONTH> — this shows the checklist and
what statement coverage is missing.
2. Get statements in.
- API accounts (Wise):
python3 tools/fetch_wise_statement.py --month <MONTH>→ CSVs land ready to import. - Manual accounts: for each account the coverage check flagged, show the user its
institution card (
institutions/<inst>/instructions.md) and the exact account + date range needed. Files go toclients/<slug>/inbox/. - Ingest everything:
python3 tools/import_statement.py --scan-inbox(per-file: hash-dedupe, wrong-account guard, import ledger record). - Re-run
python3 tools/close_period.py check --period <MONTH>untilstatements_completeandcontinuity_okpass. A continuity failure means missing transactions — resolve it, don't skip it.
3. Invoice reconciliation (deposit → open invoice).
- Dry-run:
python3 tools/reconcile_invoices.py --month <MONTH>→ MATCHED / AGENCY PAYOUTS / NEEDS REVIEW. - MATCHED: confirm EACH match individually before marking Paid (standing rule).
All approved → re-run with
--commit; partial → mark individually withpython3 tools/mark_invoice_paid.py --invoice <INV> --paid-date <d> --net-received-usd|cad <amt>. - NEEDS REVIEW: present each; unresolved ones go to the exception queue
(
--type unmatched_deposit), never guessed.
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.
- 10d ago First seen · 119 lines · 80 tokens per session scan A 9cced4eae7b0
monthly-close is a skill published in the GitHub repository audrey-560/bookkeeper-starter (13 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 1,802 once invoked, about $0.0004 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 2026-08-30.
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