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 agentmods add skills/peerjakobsen/smartspender/categorizationnpx skills add peerjakobsen/smartspender --skill categorizationgit clone --depth 1 https://github.com/peerjakobsen/smartspenderWrote 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/peerjakobsen/smartspender/categorization)<a href="https://agentmods.dev/skills/peerjakobsen/smartspender/categorization"><img src="https://agentmods.dev/badge/skills/peerjakobsen/smartspender/categorization.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.03475 |
| Opus 5 | $0.00012 | $0.01737 |
| Sonnet 5 | $0.00005 | $0.00695 |
| Haiku 4.5 | $0.00002 | $0.00347 |
Grade A, and why
categorization 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 3d 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Categorization
Purpose
Provides Claude with Danish merchant knowledge and categorization rules for classifying bank transactions into spending categories.
Categories
15 Danish spending categories with subcategories:
| Category | Subcategories | Description |
|---|---|---|
| Bolig | Husleje, El, Vand, Varme, Forsikring | Housing costs |
| Dagligvarer | Supermarked, Specialbutik | Groceries |
| Transport | Offentlig, Bil, Taxi, Cykel | Transportation |
| Abonnementer | Streaming, Fitness, Software, Telefon | Subscriptions |
| Restauranter | Restaurant, Café, Takeaway | Dining out |
| Shopping | Tøj, Elektronik, Bolig, Andet | Shopping |
| Sundhed | Apotek, Læge, Tandlæge | Health |
| Underholdning | Biograf, Koncert, Spil | Entertainment |
| Rejser | Fly, Hotel, Ferie | Travel |
| Børn | Daginstitution, Tøj, Legetøj | Children |
| Personlig pleje | Frisør, Kosmetik | Personal care |
| Uddannelse | Kurser, Bøger, Materialer | Education |
| Opsparing | Overførsler til opsparing | Savings transfers |
| Indkomst | Løn, Refusion | Income |
| Andet | Ukategoriseret | Other / fallback |
Merchant Pattern Database
Map raw transaction text patterns to normalized merchant names and categories. Patterns use * as wildcard.
Dagligvarer (Groceries)
| Pattern | Merchant | Subcategory |
|---|---|---|
*NETTO* |
Netto | Supermarked |
*FØTEX* or *FOETEX* |
Føtex | Supermarked |
*REMA*1000* or *REMA1000* |
Rema 1000 | Supermarked |
*IRMA* |
Irma | Supermarked |
*LIDL* |
Lidl | Supermarked |
*ALDI* |
Aldi | Supermarked |
*BILKA* |
Bilka | Supermarked |
*MENY* |
Meny | Supermarked |
*SPAR* |
Spar | Supermarked |
*FAKTA* |
Fakta | Supermarked |
*COOP* |
Coop | Supermarked |
*DAGLIG*BRUGSEN* or *DAGLI*BRUGSEN* |
Dagli'Brugsen | Supermarked |
*SUPER*BRUGSEN* |
SuperBrugsen | Supermarked |
*KVICKLY* |
Kvickly | Supermarked |
Transport
| Pattern | Merchant | Subcategory |
|---|---|---|
*DSB* |
DSB | Offentlig |
*REJSEKORT* |
Rejsekort | Offentlig |
*MOVIA* |
Movia | Offentlig |
*Q8* |
Q8 | Bil |
*CIRCLE*K* |
Circle K | Bil |
*SHELL* |
Shell | Bil |
*OK BENZIN* or *OK PLUS* |
OK | Bil |
*UBER* |
Uber | Taxi |
*TAXA* or *DANTAXI* |
Taxa | Taxi |
*DONKEY*REPUBLIC* |
Donkey Republic | Cykel |
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.
- 3d ago First seen · 283 lines · 23 tokens per session scan A 37f52cac0989
categorization is a skill published in the GitHub repository peerjakobsen/smartspender (5 stars, last pushed 7mo ago), licensed MIT. It adds 23 tokens to every session and 3,475 once invoked, about $0.0001 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 2026-08-31.
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