PDF Toolkit

What it does

When your agent uses it

• Pulling tables or text out of a report PDF
• Combining several PDFs or selected page ranges into one file
• Splitting a PDF by page ranges
• Filling a form PDF's text fields from data

Example prompts

• “Extract the tables from ./reports/annual.pdf as JSON.”
• “Combine pages 1-3 of cover.pdf with all of appendix.pdf.”
• “Split input.pdf into pages 5-12 and the rest.”
• “Fill the text fields in ./forms/tax.pdf from the values in my details.json.”

Requirements

• Python with pypdf, pdfplumber and reportlab

What it can do on your machine

Read from SKILL.md and the folder at commit 4494195. 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 4 files in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python

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

• Network

  No URLs in SKILL.md.

  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 Toolkit loads about 1.9k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 646 words of instructions outside code blocks.

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

~112

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

~1.9k

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

~3.4k

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 TokenRhythm/opensquilla at commit 4494195, republished under its Apache-2.0 licence (© TokenRhythm). 646 words, ~1,914 tokens.

name

pdf-toolkit

description

Structured `.pdf` operations: extract text/tables, merge pages from multiple PDFs, split a PDF by page ranges, fill PDF form fields, and generate fresh PDFs from JSON. Trigger when the user wants deterministic programmatic PDF work — examples: pull tables from a report, combine three PDFs, extract pages 5-12, fill a tax form, or build a new PDF from data. This is the single public PDF entry and uses pypdf, pdfplumber, and reportlab.

visibility

public

invocation

direct

description_zh

结构化的 .pdf 操作：提取文本/表格、合并多个PDF的页面、按页码范围拆分PDF、填写PDF表单字段以及从JSON生成新PDF。当用户需要确定性的程序化PDF处理时触发，例如从报告提取表格、合并三个PDF、提取第5-12页、填写税表或用数据构建新PDF。本技能是唯一公开的 PDF 入口，通过…

homepage

https://pypdf.readthedocs.io/

provenance.origin

clawhub-mit0

provenance.license

MIT-0

provenance.upstream_url

https://clawhub.ai/pdf

provenance.maintained_by

OpenSquilla

python {baseDir}/scripts/extract.py /path/to/doc.pdf --json

{
  "pages": 12,
  "metadata": {"title": "...", "author": "..."},
  "text": [
    {"page": 1, "content": "..."},
    {"page": 2, "content": "..."}
  ],
  "tables": [
    {"page": 3, "rows": [["..."], ["..."]]}
  ]
}

python {baseDir}/scripts/merge.py a.pdf b.pdf c.pdf --out combined.pdf

python {baseDir}/scripts/merge.py manifest.json --out combined.pdf

[
  {"file": "a.pdf", "pages": "1-3"},
  {"file": "b.pdf", "pages": "5,7,9-11"},
  {"file": "c.pdf"}
]

python {baseDir}/scripts/split.py input.pdf --pages "1-3,7,10-12" --out output_dir/

python {baseDir}/scripts/form_fill.py form.pdf data.json --out filled.pdf

{
  "applicant_name": "Wei E.",
  "submission_date": "2026-05-06",
  "agreed": "Yes"
}

from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import LETTER
from pathlib import Path

c = canvas.Canvas(str(Path("out.pdf")), pagesize=LETTER)
c.setFont("Helvetica-Bold", 18)
c.drawString(72, 720, "Q3 Review")
c.setFont("Helvetica", 11)
c.drawString(72, 696, "Revenue grew 18% year over year.")
c.showPage()
c.save()

from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.cidfonts import UnicodeCIDFont
from reportlab.pdfgen import canvas

pdfmetrics.registerFont(UnicodeCIDFont("STSong-Light"))
c = canvas.Canvas("report.pdf")
c.setFont("STSong-Light", 14)
c.drawString(72, 760, "季度报告：收入增长")
c.save()

© TokenRhythm, Apache-2.0. 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 7 other files (scripts, references) in src/opensquilla/skills/bundled/pdf-toolkit of TokenRhythm/opensquilla.

• SKILL.md
• THIRD_PARTY_NOTICES.md
• references/pypdf.md
• references/reportlab.md
• scripts/extract.py
• scripts/form_fill.py
• scripts/merge.py
• scripts/split.py

Open the folder on GitHubat commit 4494195