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 norman-finance/norman-mcp-server --skill categorize-transactionsgit clone --depth 1 https://github.com/norman-finance/norman-mcp-serverWrote 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/norman-finance/norman-mcp-server/categorize-transactions)<a href="https://agentmods.dev/skills/norman-finance/norman-mcp-server/categorize-transactions"><img src="https://agentmods.dev/badge/skills/norman-finance/norman-mcp-server/categorize-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/norman-finance/norman-mcp-server/categorize-transactions"><img src="https://agentmods.dev/badge/skills/norman-finance/norman-mcp-server/categorize-transactions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00581 |
| Opus 5 | $0.00023 | $0.00291 |
| Sonnet 5 | $0.00009 | $0.00116 |
| Haiku 4.5 | $0.00005 | $0.00058 |
Grade A, and why
categorize-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 11d 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 — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Help the user categorize and organize their bank transactions.
First: determine account type
Call get_company_details and check isSme:
- Freelance (
isSme: false): Usecategorize_transaction— AI detects the freelance category automatically. - SME / GmbH / UG (
isSme: true): Uselist_company_categoriesto find DATEV categories by code. If the right category isn't provisioned, usesearch_skr_by_codeorsuggest_skr_categoryto search the full SKR catalog, thencreate_company_categoryto add it.
Workflow
-
Fetch uncategorized transactions: Call
search_transactionsto find transactions that need attention. Look for unverified or uncategorized entries. -
Smart categorization: For each transaction, suggest a category based on:
- The transaction description / reference text
- The counterparty name
- The amount and pattern (recurring = likely subscription)
- Similar past transactions
-
Assign the category:
- Freelance: Use
categorize_transactionwith the transaction details — it returns the AI-suggested freelance category. - SME: Use
update_transactionwithcompany_category_idto assign a DATEV category. If the needed category isn't inlist_company_categories, search the full SKR03/SKR04 catalog withsearch_skr_by_code(by number) orsuggest_skr_category(by description, uses AI). Thencreate_company_categoryto add it.
- Freelance: Use
-
Invoice matching: When a transaction looks like an incoming payment:
- Call
list_invoicesto find matching unpaid invoices (by amount or client) - Use
link_transactionto connect the payment to the invoice
- Call
-
Document attachment: Remind the user to attach receipts for expenses:
- Use
upload_bulk_attachmentsfor multiple receipts - Use
link_attachment_transactionto connect receipts to transactions
- Use
-
Verification: After categorizing, use
change_transaction_verificationto mark transactions as verified.
Present transactions in batches of 10-15 for manageable review. Show: Date, Amount, Description, Suggested Category.
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.
- 11d ago First seen · 47 lines · 45 tokens per session scan A e7a46eed3544
categorize-transactions is a skill published in the GitHub repository norman-finance/norman-mcp-server (54 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 581 once invoked, about $0.0002 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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