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Read, extract, summarize, and analyze PDF attachments saved by Kivio Chat.
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Basé sur la classification professionnelle SOC
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| id | |
| name | |
| description | Read, extract, summarize, and analyze PDF attachments saved by Kivio Chat. |
| recommended-tools | ["read","run_python"] |
Use this skill when the user attaches or references a PDF and asks to read, summarize, extract, compare, translate, inspect, or answer questions about it.
Kivio stores each uploaded file as a safe local copy and includes its absolute path in the user message under Kivio 安全副本路径. Pass that safe copy path to run_python via files; Kivio mounts it inside the Pyodide filesystem for the run. Python code must use the mounted virtual paths in KIVIO_INPUT_FILES, not the host absolute path directly.
You can also process any local PDF, not just uploaded safe copies: pass its absolute path (e.g. one discovered via glob/list_dir) directly to run_python via files.
run_python with files=["Kivio 安全副本路径"] and pypdf to inspect or extract text from the PDF when possible.Use Pyodide-friendly Python. Prefer pypdf for digitally generated PDFs. The files argument mounts attachment safe copies into Pyodide and exposes their virtual paths through KIVIO_INPUT_FILES. If text extraction returns little content, report that the PDF may be scanned/image-only and ask the user whether to use OCR or Lens.
from pathlib import Path
from pypdf import PdfReader
pdf_path = Path(KIVIO_INPUT_FILES[0])
reader = PdfReader(str(pdf_path))
for index, page in enumerate(reader.pages, start=1):
text = page.extract_text() or ""
print(f"--- page {index} ---")
print(text[:4000])