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/onewave-ai/claudecodeunleashed/financial-parsernpx skills add OneWave-AI/ClaudeCodeUnleashed --skill financial-parsergit clone --depth 1 https://github.com/OneWave-AI/ClaudeCodeUnleashedWrote 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/onewave-ai/claudecodeunleashed/financial-parser)<a href="https://agentmods.dev/skills/onewave-ai/claudecodeunleashed/financial-parser"><img src="https://agentmods.dev/badge/skills/onewave-ai/claudecodeunleashed/financial-parser.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 | $0.00042 | $0.01133 |
| Opus 5 | $0.00021 | $0.00566 |
| Sonnet 5 | $0.00008 | $0.00227 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
financial-document-parser 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 5d 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.
This is a copy
100% identical to financial-document-parser — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Document Parser
Extract structured data from financial documents with automatic categorization and analysis.
When to Use This Skill
Activate when the user:
- Provides invoices, receipts, or bank statements
- Asks to "parse this invoice" or "extract data from this receipt"
- Needs expense categorization
- Wants to track spending patterns
- Asks to generate expense reports
- Mentions financial document analysis
- Provides PDF or image of financial documents
Instructions
-
Identify Document Type
- Invoice (business to business)
- Receipt (point of sale)
- Bank statement
- Credit card statement
- Expense report
- Tax document
-
Extract Core Information
For Invoices:
- Invoice number
- Invoice date and due date
- Vendor/supplier name and contact
- Client/recipient name
- Line items (description, quantity, unit price, total)
- Subtotal, tax, and grand total
- Payment terms
- Payment methods accepted
For Receipts:
- Merchant name and location
- Date and time
- Items purchased
- Individual prices
- Subtotal, tax, total
- Payment method
- Last 4 digits of card (if present)
For Bank/Credit Card Statements:
- Statement period
- Account number (last 4 digits)
- All transactions (date, description, amount, balance)
- Beginning and ending balance
- Total credits and debits
- Fees or interest charges
-
Categorize Expenses
- Business expenses: Office supplies, software, equipment
- Travel: Transportation, lodging, meals
- Utilities: Internet, phone, electricity
- Professional services: Legal, accounting, consulting
- Marketing: Advertising, subscriptions
- Entertainment: Client meals, events
- Other: Miscellaneous
-
Identify Patterns
- Recurring charges (subscriptions)
- Duplicate charges
- Unusual or high-value transactions
- Tax-deductible expenses
- Foreign currency transactions
-
Generate Structured Output
- Create CSV-ready format
- Summarize totals by category
- Flag items needing attention
- Calculate tax implications (if relevant)
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.
- 5d ago First seen · 157 lines · 42 tokens per session scan A 263f6e3ac279
financial-document-parser is a skill published in the GitHub repository OneWave-AI/ClaudeCodeUnleashed (5 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 1,133 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to financial-document-parser, differing in 6 lines, and is treated as a copy.
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