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 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/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/peerjakobsen/smartspender/categorization"><img src="https://agentmods.dev/badge/skills/peerjakobsen/smartspender/categorization.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 | $0.00023 | $0.03475 |
| Opus 5.5 | $0.00009 | $0.01390 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 8mo ago), licensed MIT. It adds 23 tokens to every session and 3,475 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.
Other skills, from other repositories
cap-table-analysis
Guides Slice MCP cap-table and ESOP-pool analysis by combining company summary, cap table, ownership, stakeholder, share class, funding round, equity pool, valuation, and securities tools. Use when answering questions about cap table structure, stakeholder holdings, ownership, ESOP pools, share classes, rounds…
workflows-analysis
Guides Slice MCP workflow analysis using workflow list/get-one tools, exercise payment reconciliation, and tax withholding tools. Use when answering questions about grant letters, corporate approvals, share certificate workflows, exercise workflows, pending payments, tax withholding, workflow status, stuck workflows…
board-presentation-analysis
Guides creation of board-ready Slice presentations using MCP tools, especially offered-status grants and ESOP/equity-pool summaries. Use when preparing board decks, board approval packs, grant approval summaries, ESOP pool updates, option pool utilization slides, or board-facing equity recommendations.
equity-compensation-analysis
Guides Slice MCP analysis of equity compensation, grants, options, RSUs, vesting, exercises, forfeitures, PTEP, tax treatments, and valuations. Use when answering questions about employee equity, grant positions, vested or exercisable quantities, exercise price, FMV/409A, option pool consumption, tax treatment, or…
funding-rounds-analysis
Guides Slice MCP analysis of funding rounds, share classes, price per share, primary issuances, secondary transactions, convertibles, SAFEs, option-pool top-ups, total raised, and dilution. Use when answering questions about rounds, Series A/B/C, seed rounds, bridge rounds, investor positions, round history…
waterfall-analysis
Guides exit waterfall analysis using Slice MCP cap-table, share-class, securities, rounds, and ownership tools. Use when answering questions about exit proceeds, liquidation preferences, participating preferred, conversion thresholds, proceeds allocation, MOIC, investor returns, or ordinary/common shareholder payouts.