pdf-reader

Documents

Analyze PDF files attached by the user. Activates automatically when user uploads a PDF. Handles both text-based and scanned/image-based PDFs using file_read's built-in PDF rendering.

QUICK START

How to use this skill

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Prompt to paste

I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/Kocoro-lab/Kocoro/blob/HEAD/internal/skills/bundled/skills/pdf-reader/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/pdf-reader/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

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PDF Reader

Analyze PDF files using the file_read tool which natively supports PDF rendering.

How file_read handles PDFs

file_read with a .pdf path renders pages as images for vision analysis
Parameters: offset = start page (0-based), limit = max pages (default 5)
Each page is rendered at 144 DPI, resized to 1568px max dimension
Returns image blocks that you can analyze with vision

Workflow

Read the PDF: Call file_read with the PDF path. It will render pages as images automatically.
```
{"path": "/path/to/file.pdf"}
```
For multi-page PDFs: Read in batches using offset and limit.
```
{"path": "/path/to/file.pdf", "offset": 5, "limit": 5}
```
Analyze the content: The rendered pages come back as images. Describe what you see — text, tables, charts, forms, signatures, stamps, etc.

Extract text if needed: For text-heavy PDFs where you need exact content, use bash with python:

python3 -c "
import subprocess
subprocess.check_call(['pip3', 'install', 'pymupdf', '-q'])
import fitz
doc = fitz.open('/path/to/file.pdf')
for i, page in enumerate(doc):
    text = page.get_text()
    if text.strip():
        print(f'--- Page {i+1} ---')
        print(text)
"

Tips

Always start with file_read — it handles both scanned and text PDFs via vision
For scanned PDFs (image-based), vision analysis through file_read is the primary method
For text PDFs where exact character-level accuracy matters, supplement with python text extraction
When summarizing, note the total page count and which pages you've analyzed