PDF

About this skill

PDF is a skill in axoviq-ai/synthadoc (1.6k stars). Its SKILL.md is about 293 tokens, with 4 other files in the folder (scripts, references). Licence: AGPL-3.0-or-later.

What it can do on your machine

Read from SKILL.md and the folder at commit 90d0db7. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 2 files in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • pip

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

PDF loads about 293 tokens when it runs, and up to ~393 if it reads all its reference files. Until then it costs about 9 tokens; SKILL.md has 67 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~9

When it runs · the whole SKILL.md, loaded when a task matches

~293

With references · SKILL.md plus every file in references/, read only if the agent opens them

~393

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from axoviq-ai/synthadoc at commit 90d0db7, republished under its AGPL-3.0-or-later licence (© axoviq-ai). 67 words, ~293 tokens.

name

pdf

description

Extract text from PDF documents

version

1.0

entry.script

scripts/main.py

entry.class

PdfSkill

triggers.extensions

.pdf

triggers.intents

pdf, research paper

requires

pypdf, pdfminer.six

author

axoviq.com

license

AGPL-3.0-or-later

pip install pypdf pdfminer.six

import asyncio
from synthadoc.skills.pdf.scripts.main import PdfSkill

skill = PdfSkill()

async def main():
    result = await skill.extract("/path/to/paper.pdf")
    print(result.text)          # extracted text from all pages
    print(result.metadata)      # {"pages": N, "cjk_fallback": bool, ...}

asyncio.run(main())

© axoviq-ai, AGPL-3.0-or-later. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in synthadoc/skills/pdf of axoviq-ai/synthadoc.

• SKILL.md
• references/cjk-notes.md
• requirements.txt
• scripts/__init__.py
• scripts/main.py

Open the folder on GitHubat commit 90d0db7