@m4ss/pi-binary-file-guard

Block read from loading binary files and suggest the right CLI tool instead.

We prefer keeping Pi minimal, no heavy binary parsers, and let the agent handle the rest via bash. When the model tries to read a binary file, the extension suggests the right CLI tool: pdftotext for PDFs, sqlite3 for databases, LibreOffice headless conversion + pdftotext for Office documents.

What is blocked

PDFs, archives (ZIP, tar, gzip, 7z, RAR, etc.), executables (ELF, PE), databases (SQLite), audio, video, and more; all detected via magic bytes.

Supported image formats (PNG, JPEG, GIF, WebP) are not blocked; the LLM can view them directly. Unsupported image formats (AVIF, HEIC, BMP, ICO) are blocked with conversion hints.

Examples

The error message includes the file type, the path, and a command-line hint:

> read("report.pdf")
Cannot read binary file (PDF): "report.pdf". Use pdftotext (poppler-utils) to extract text: `pdftotext <file> -`

> read("data.db")
Cannot read binary file (SQLite database): "data.db". Query with sqlite3: `sqlite3 <file> '.dump'` or `sqlite3 <file> 'SELECT * FROM <table>'`

> read("project.docx")
Cannot read binary file (ZIP / Office document (DOCX, XLSX, PPTX, ODT)): "project.docx". Unzip the file: `unzip -p <file> '*.xml'`. If this is an Office document, convert to PDF first then extract text: `libreoffice --headless --convert-to pdf <file> --outdir /tmp/office && pdftotext /tmp/office/$(basename <file .ext>).pdf -`

> read("data.tar.gz")
Cannot read binary file (Gzip archive): "data.tar.gz". Decompress first: `gzip -dc <file>` or `zcat <file>`

Install

pi install npm:@m4ss/pi-binary-file-guard

License

MIT