Borrowing it
Nothing to install: this file belongs to ronnycoding/my-personal-assistant. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ronnycoding/my-personal-assistant/main/.claude/skills/finance-process/extract-pdf-transactions/SKILL.mdgit clone --depth 1 https://github.com/ronnycoding/my-personal-assistantWrote 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/ronnycoding/my-personal-assistant/extract-pdf-transactions)<a href="https://agentmods.dev/skills/ronnycoding/my-personal-assistant/extract-pdf-transactions"><img src="https://agentmods.dev/badge/skills/ronnycoding/my-personal-assistant/extract-pdf-transactions.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 5.1 | $0.00000 | $0.00529 |
| Opus 5 | $0.00000 | $0.00264 |
| Sonnet 5 | $0.00000 | $0.00106 |
| Haiku 4.5 | $0.00000 | $0.00053 |
Grade A, and why
extract-pdf-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 6d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extract PDF Transactions Skill
Extract transaction data from PDF bank and credit card statements.
Skill Metadata
- Name: extract-pdf-transactions
- Category: Financial Data Processing
- Complexity: Medium
- Privacy: Local processing only, no external APIs
Capabilities
This skill extracts structured transaction data from PDF financial statements:
- Multi-format PDF parsing - Supports various bank statement layouts
- Table detection - Automatically identifies transaction tables
- Data extraction - Parses dates, descriptions, amounts, and balances
- Multi-page support - Processes statements spanning multiple pages
- Error handling - Gracefully handles malformed PDFs
- Validation - Verifies extracted data quality
Usage
/finance-process extract --input="~/Documents/Finance/*.pdf" --output="~/Documents/Finance/transactions.csv"
How It Works
- PDF Discovery: Finds all PDF files matching the input pattern
- Content Extraction: Uses pdfplumber to extract text and tables
- Table Parsing: Identifies transaction tables using pattern matching
- Data Normalization: Standardizes column names and formats
- Validation: Checks for completeness and accuracy
- CSV Export: Saves transactions to specified output file
Script
The main script is scripts/extract_pdf_statements.py which:
- Accepts PDF file paths (glob patterns supported)
- Extracts transaction tables
- Outputs to CSV format
- Provides progress feedback and error reporting
Dependencies
Required Python packages:
- pdfplumber (primary extraction engine)
- pandas (data manipulation)
- python-dateutil (date parsing)
- tabula-py (fallback for complex tables)
Output Format
The skill produces CSV files with these columns:
date- Transaction date (YYYY-MM-DD)description- Transaction description/merchantamount- Transaction amount (negative for debits)balance- Account balance after transactioncategory- Auto-categorized transaction typesource_file- Original PDF filename
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 78 lines · 0 tokens per session scan A 2d33b6244b1f
extract-pdf-transactions is a skill published in the GitHub repository ronnycoding/my-personal-assistant (12 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 529 tokens. 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 2026-09-02.
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