Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cynco-labs/ai-accounting-skillsnpx agentmods add skills/cynco-labs/ai-accounting-skills/finalise-accountsWrote 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/cynco-labs/ai-accounting-skills/finalise-accounts)<a href="https://agentmods.dev/skills/cynco-labs/ai-accounting-skills/finalise-accounts"><img src="https://agentmods.dev/badge/skills/cynco-labs/ai-accounting-skills/finalise-accounts/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/cynco-labs/ai-accounting-skills/finalise-accounts"><img src="https://agentmods.dev/badge/skills/cynco-labs/ai-accounting-skills/finalise-accounts.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 | $0.00022 | $0.00325 |
| Opus 5.5 | $0.00009 | $0.00130 |
| Sonnet 5.5 | $0.00004 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
finalise-accounts 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 2mo 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
/finalise-accounts
Purpose
Move from draft to locked numbers.
Preconditions
- QC Section A all pass
- Open client queries either cleared or accepted as limitations in report
- MPERS technical issues cleared or disclosed
Steps
- Freeze journal sequence (no further posts without re-opening + re-QC)
- Stamp version:
FS_final_draft_vN→FS_for_management_approval - Archive workpapers hash/date
- Update engagement README status:
LOCKED_PENDING_APPROVAL - Push system of record (Beancount) — after lock:
python3 scripts/export_to_beancount.py \
--client-dir <client> \
--output <client>/ledger/main.beancount \
--bean-check
Excel/openpyxl workpapers stay as engagement packs. Beancount is the ledger SoR.
Offer open-fava so the user can browse in the browser (http://127.0.0.1:5000).
See references/beancount_integration.md and skills export-beancount / open-fava.
Completion
Done when: QC Section A clear (or user-stopped with limitation), lock recorded in state, journals frozen for issue path.
Output
Finalisation memo + file list + path to ledger/main.beancount when exported.
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.
- 2mo ago First seen · 40 lines · 22 tokens per session scan A 1d6c9c0c361f
finalise-accounts is a skill published in the GitHub repository cynco-labs/ai-accounting-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 325 once invoked, about $0.0001 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 2026-08-31.
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