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 seb1n/awesome-ai-agent-skills --skill expense-categorizationgit clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skillsWrote 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/seb1n/awesome-ai-agent-skills/expense-categorization)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/expense-categorization"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/expense-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/seb1n/awesome-ai-agent-skills/expense-categorization"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/expense-categorization.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 | $0.00037 | $0.02124 |
| Opus 5 | $0.00018 | $0.01062 |
| Sonnet 5 | $0.00007 | $0.00425 |
| Haiku 4.5 | $0.00004 | $0.00212 |
Grade A, and why
expense-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 8d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Expense Categorization
Automatically classify business expenses into accounting categories, assign department cost centers, and flag tax-deductible items from raw transaction data. This skill processes credit card statements, bank feeds, and expense reports to produce clean, categorized output suitable for bookkeeping, tax preparation, and spend analytics.
Workflow
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Receive Expense Data Accept transaction data as CSV, bank statement text, or structured records. Required fields: date, amount, and description or merchant name. Optional fields: card last four digits, employee name, department, receipt notes. Normalize date formats and currency to a consistent standard.
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Parse Description and Merchant Extract the merchant name from the transaction descriptor, stripping out authorization codes, location suffixes, and card network prefixes. Map common merchant name variations to canonical names (e.g., "AMZN MKTP US" → "Amazon", "GOOGLE *GSUITE" → "Google Workspace"). Use the merchant category code (MCC) when available as a secondary signal.
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Classify Expense Category Assign each transaction to a primary category based on merchant identity, MCC, description keywords, and amount patterns. Standard categories: Travel & Lodging, Meals & Entertainment, Software & SaaS, Office Supplies, Professional Services, Advertising, Utilities, Insurance, Shipping & Postage, Equipment, Training & Education, Miscellaneous.
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Assign Department and Cost Center Route each expense to the appropriate department based on the cardholder, project codes in the description, or pre-configured rules. Apply default department assignments for known merchants (e.g., AWS charges → Engineering, HubSpot → Marketing).
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Flag Tax-Deductible Items Mark expenses that qualify for tax deduction based on category and business purpose. Apply IRS rules for meals (50% deductible for business meals, 100% for company events), home office, vehicle mileage, and professional development. Flag items that need substantiation — receipts, business purpose memo, or attendee lists.
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.
- 8d ago First seen · 125 lines · 37 tokens per session scan A db6ae528834f
expense-categorization is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (179 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 2,124 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 2026-09-03.
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