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/classify-transactionsWrote 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/classify-transactions)<a href="https://agentmods.dev/skills/cynco-labs/ai-accounting-skills/classify-transactions"><img src="https://agentmods.dev/badge/skills/cynco-labs/ai-accounting-skills/classify-transactions/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/classify-transactions"><img src="https://agentmods.dev/badge/skills/cynco-labs/ai-accounting-skills/classify-transactions.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 | $0.00055 | $0.01372 |
| Opus 5.5 | $0.00022 | $0.00549 |
| Sonnet 5.5 | $0.00011 | $0.00274 |
| Haiku 4.5 | $0.00006 | $0.00137 |
Grade A, and why
classify-transactions 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/classify-transactions
Purpose
Codes are the end of classify. Substance is the middle.
Main job: classify.
Doctrine: shared/classify-substance.md.
Script first for baseline; agent applies economic substance for material themes when depth requires it.
Preconditions
shared/guardrails.md+ firm profile if present.- Active engagement;
workpapers/transactions.jsonexists (extract done). - Framework known or provisional (
engagement_state.json). - Re-read sources if context was compacted (files are the books).
- Load
shared/classify-substance.mdand chooseclassify_depth:bookkeeping— fast pathstandards_aware— year-end / “proper classifications” / revenue or capex questions
Write classify_depth into state (notes or artifacts map) when set.
Steps
1 — Run the classifier (required)
python3 scripts/classify_transactions.py \
--input workpapers/transactions.json \
--output workpapers/transactions.json \
--payee-map workpapers/payee_map.json \
--report workpapers/classification_review.md
# or
npx @cynco/accounting-skills classify ./workpapers/transactions.json
Rules: references/classification_patterns.json.
Payee map (optional): workpapers/payee_map.json.
| Field | Meaning |
|---|---|
classification_basis |
prior_year · pattern · invoice · employee · suspense · analysis |
classification_confidence |
0–1 |
needs_review |
Agent must confirm |
Do not re-derive pattern tables in chat when the script exists.
Done when: script exit 0 and classification_review.md written.
2 — Money map (material themes)
From transactions.json + review report, group material lines:
| Theme | Signal | Checklist (Malaysia pack) | Analysis file |
|---|---|---|---|
| Revenue | Material credits / customer-like inflows | references/jurisdictions/malaysia/standards/revenue_recognition.md |
workpapers/analysis/revenue_recognition.md |
| Capital vs expense | Material one-off / asset-like outflows | …/standards/capital_vs_expense.md |
workpapers/analysis/capital_vs_expense.md |
| Related parties | Directors / shareholders / common control | references/mpers.md S33 |
workpapers/analysis/related_parties.md |
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 · 145 lines · 55 tokens per session scan A f45bd3ea871c
classify-transactions is a skill published in the GitHub repository cynco-labs/ai-accounting-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 1,372 once invoked, about $0.0002 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.
Other skills, from other repositories
countbean-accounting
Rules for writing correct double-entry Beancount transactions when managing a Countbean cloud book — account naming, how to balance postings, categorisation, and safe ingestion. Use whenever recording, importing, or correcting financial data in a Countbean book.
accounting-audit-system-builder
Routes an accounting or audit request to the right module skill, from software selection through monthly closing, asking only what is missing. Use for books of accounts or audit files.
bookkeeping
Use when a small business needs audit-ready books — a chart of accounts, posting a transaction to the right account and side, clearing an uncategorized bank feed, cash vs accrual, or a ledger that won't tie to the bank. NOT interpreting the numbers — runway, burn, P&L cadence (that is finance-ops), NOT issuing…
jangbu-jongso
A Korean tax-document checklist generator for individuals, freelancers, sole-company owners, mixed earners, and certain business owners.
korean-jangbu-for
A Korean bookkeeping assistant for startups, freelancers, sole proprietors, and one-person companies. It processes financial files locally, helps classify transactions, and prepares accounting and tax outputs.
jangbu-import
A data-import workflow for turning bank files, card records, spreadsheets, receipts, tax invoices, and statement PDFs into a standard set of 13 transaction fields. OCR, or optical character recognition, is used to read information from document images and PDFs.