Receipt OCR Tracker

v1.0.0

Pixel Termux receipt snap → OCR tesseract → parse CSV expense report (date/item/amount/total tax). Triggers for "scan receipt Pixel", "OCR expense CSV", "tra...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
Purpose & Capability
Name, description, SKILL.md, and the included Python script are consistent: the tool runs Tesseract OCR on a supplied image and writes a CSV of detected amounts/items. Minor incoherence: the skill metadata declares no required binaries, but SKILL.md and the script require the Tesseract engine and Python imaging libraries (pytesseract, Pillow). Declaring those dependencies would be expected.
Instruction Scope
Runtime instructions are narrowly scoped: take a camera photo, run scripts/ocr.py on the image, produce expenses.csv and an MD summary. The script only reads the provided image and writes a local CSV. Concern: the parsing rules and regex in both SKILL.md and code are very simplistic (they match many numeric patterns), so non-monetary numbers may be parsed as amounts and totals will be incorrect.
Install Mechanism
No install spec is provided (instruction-only install), which minimizes risk. Dependencies are expected to be installed manually (SKILL.md suggests 'pkg install tesseract' and 'pkg install python-pillow'); there are no downloads or obscure install URLs and the included Python code is small and readable.
Credentials
The skill requests no environment variables or credentials and the code does not access system credentials, config paths, or network endpoints. This is proportionate for the stated purpose.
Persistence & Privilege
The skill is user-invocable and not always-enabled. It does not request persistent privileges, does not modify other skills or global agent settings, and runs only when invoked.
Assessment
This skill appears to be what it says: a small local OCR parser that runs pytesseract/Pillow and writes expenses.csv. Before installing or running it: 1) be sure you have the Tesseract binary and Python imaging libs installed (the skill does not declare them as required but SKILL.md expects them); 2) test with sample receipts — the parser uses simple regexes and can misidentify numbers (it may sum non-price numbers), so verify outputs before using for accounting; 3) the script runs locally and does not contact external servers or request credentials, but review the included scripts yourself or run in a sandbox if you handle sensitive receipts; 4) if you want more robust parsing (line-item extraction, currency handling, taxes/tips), consider a more sophisticated parser or post-process the CSV to correct misclassifications.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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