← 返回 Skills 市场
wu-uk

pdf

作者 wu-uk · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
78
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install court-form-filling-pdf
功能描述
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs...
使用说明 (SKILL.md)

PDF Processing Guide

Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.

Quick Start

from pypdf import PdfReader, PdfWriter

# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")

# Extract text
text = ""
for page in reader.pages:
    text += page.extract_text()

Python Libraries

pypdf - Basic Operations

Merge PDFs

from pypdf import PdfWriter, PdfReader

writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
    reader = PdfReader(pdf_file)
    for page in reader.pages:
        writer.add_page(page)

with open("merged.pdf", "wb") as output:
    writer.write(output)

Split PDF

reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
    writer = PdfWriter()
    writer.add_page(page)
    with open(f"page_{i+1}.pdf", "wb") as output:
        writer.write(output)

Extract Metadata

reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
print(f"Subject: {meta.subject}")
print(f"Creator: {meta.creator}")

Rotate Pages

reader = PdfReader("input.pdf")
writer = PdfWriter()

page = reader.pages[0]
page.rotate(90)  # Rotate 90 degrees clockwise
writer.add_page(page)

with open("rotated.pdf", "wb") as output:
    writer.write(output)

pdfplumber - Text and Table Extraction

Extract Text with Layout

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        print(text)

Extract Tables

with pdfplumber.open("document.pdf") as pdf:
    for i, page in enumerate(pdf.pages):
        tables = page.extract_tables()
        for j, table in enumerate(tables):
            print(f"Table {j+1} on page {i+1}:")
            for row in table:
                print(row)

Advanced Table Extraction

import pandas as pd

with pdfplumber.open("document.pdf") as pdf:
    all_tables = []
    for page in pdf.pages:
        tables = page.extract_tables()
        for table in tables:
            if table:  # Check if table is not empty
                df = pd.DataFrame(table[1:], columns=table[0])
                all_tables.append(df)

# Combine all tables
if all_tables:
    combined_df = pd.concat(all_tables, ignore_index=True)
    combined_df.to_excel("extracted_tables.xlsx", index=False)

reportlab - Create PDFs

Basic PDF Creation

from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

c = canvas.Canvas("hello.pdf", pagesize=letter)
width, height = letter

# Add text
c.drawString(100, height - 100, "Hello World!")
c.drawString(100, height - 120, "This is a PDF created with reportlab")

# Add a line
c.line(100, height - 140, 400, height - 140)

# Save
c.save()

Create PDF with Multiple Pages

from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet

doc = SimpleDocTemplate("report.pdf", pagesize=letter)
styles = getSampleStyleSheet()
story = []

# Add content
title = Paragraph("Report Title", styles['Title'])
story.append(title)
story.append(Spacer(1, 12))

body = Paragraph("This is the body of the report. " * 20, styles['Normal'])
story.append(body)
story.append(PageBreak())

# Page 2
story.append(Paragraph("Page 2", styles['Heading1']))
story.append(Paragraph("Content for page 2", styles['Normal']))

# Build PDF
doc.build(story)

Command-Line Tools

pdftotext (poppler-utils)

# Extract text
pdftotext input.pdf output.txt

# Extract text preserving layout
pdftotext -layout input.pdf output.txt

# Extract specific pages
pdftotext -f 1 -l 5 input.pdf output.txt  # Pages 1-5

qpdf

# Merge PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf

# Split pages
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
qpdf input.pdf --pages . 6-10 -- pages6-10.pdf

# Rotate pages
qpdf input.pdf output.pdf --rotate=+90:1  # Rotate page 1 by 90 degrees

# Remove password
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf

pdftk (if available)

# Merge
pdftk file1.pdf file2.pdf cat output merged.pdf

# Split
pdftk input.pdf burst

# Rotate
pdftk input.pdf rotate 1east output rotated.pdf

Common Tasks

Extract Text from Scanned PDFs

# Requires: pip install pytesseract pdf2image
import pytesseract
from pdf2image import convert_from_path

# Convert PDF to images
images = convert_from_path('scanned.pdf')

# OCR each page
text = ""
for i, image in enumerate(images):
    text += f"Page {i+1}:\
"
    text += pytesseract.image_to_string(image)
    text += "\
\
"

print(text)

Add Watermark

from pypdf import PdfReader, PdfWriter

# Create watermark (or load existing)
watermark = PdfReader("watermark.pdf").pages[0]

# Apply to all pages
reader = PdfReader("document.pdf")
writer = PdfWriter()

for page in reader.pages:
    page.merge_page(watermark)
    writer.add_page(page)

with open("watermarked.pdf", "wb") as output:
    writer.write(output)

Extract Images

# Using pdfimages (poppler-utils)
pdfimages -j input.pdf output_prefix

# This extracts all images as output_prefix-000.jpg, output_prefix-001.jpg, etc.

Password Protection

from pypdf import PdfReader, PdfWriter

reader = PdfReader("input.pdf")
writer = PdfWriter()

for page in reader.pages:
    writer.add_page(page)

# Add password
writer.encrypt("userpassword", "ownerpassword")

with open("encrypted.pdf", "wb") as output:
    writer.write(output)

Quick Reference

Task Best Tool Command/Code
Merge PDFs pypdf writer.add_page(page)
Split PDFs pypdf One page per file
Extract text pdfplumber page.extract_text()
Extract tables pdfplumber page.extract_tables()
Create PDFs reportlab Canvas or Platypus
Command line merge qpdf qpdf --empty --pages ...
OCR scanned PDFs pytesseract Convert to image first
Fill PDF forms pdf-lib or pypdf (see forms.md) See forms.md

Next Steps

  • For advanced pypdfium2 usage, see reference.md
  • For JavaScript libraries (pdf-lib), see reference.md
  • If you need to fill out a PDF form, follow the instructions in forms.md
  • For troubleshooting guides, see reference.md
安全使用建议
This skill appears coherent for PDF processing and form filling. Before installing/use: (1) Run the scripts in an isolated environment (virtualenv/container) and install Python dependencies from trusted registries; some dependencies (pytesseract, pdf2image, poppler) require native binaries. (2) Review the monkeypatch in fill_fillable_fields.py (it changes pypdf internals at runtime) — acceptable workaround but worth auditing. (3) Do not feed sensitive documents to unknown third‑party services; the code operates on local files and contains no network calls, but you should still run it locally. (4) Confirm the Proprietary LICENSE terms are acceptable for your use. If you need higher assurance, request an explicit install/packaging spec and a dependency list (requirements.txt) and run a code audit or tests in a sandbox first.
功能分析
Type: OpenClaw Skill Name: court-form-filling-pdf Version: 0.1.0 The skill bundle provides a comprehensive and legitimate toolkit for PDF manipulation and form filling. It includes Python scripts for extracting form metadata, converting PDF pages to images for visual analysis, and filling forms using both standard PDF fields and text annotations (via pypdf and PIL). The instructions in forms.md and SKILL.md guide the AI agent through a structured workflow to ensure accuracy in form completion. A monkeypatch in scripts/fill_fillable_fields.py is a documented workaround for a specific bug in the pypdf library. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力评估
Purpose & Capability
Name/description (PDF manipulation and form filling) align with the included SKILL.md and the provided scripts (extracting fields, converting pages to images, validating bounding boxes, filling forms via annotations or form fields). The repository does not request unrelated environment variables or binaries.
Instruction Scope
SKILL.md and forms.md instruct the agent to run the included Python scripts and to create/inspect local JSON and image files — all within the PDF form‑filling workflow. One notable behavior: fill_fillable_fields.py monkeypatches a pypdf internal method to work around a pypdf bug. That is relevant to functionality but modifies library internals at runtime and is worth reviewing before use.
Install Mechanism
There is no formal install spec; the skill is instruction‑only but includes Python scripts that depend on external packages (pypdf, pdfplumber, pdf2image, pytesseract, reportlab, pypdfium2, etc.). The lack of an explicit install step means the environment must provide these packages; installing them should be done from trusted package sources. No downloads from untrusted URLs or archive extraction are present in the skill files.
Credentials
The skill does not request environment variables, credentials, or config paths. The scripts operate on local files provided by the user and do not contain code that exfiltrates data or contacts external endpoints.
Persistence & Privilege
Skill flags are default (not always:true), user‑invocable, and allow autonomous invocation (the platform default). The skill does not attempt to modify other skills or system‑wide agent settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install court-form-filling-pdf
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /court-form-filling-pdf 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Bulk publish from all-task-skills-dedup
元数据
Slug court-form-filling-pdf
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

pdf 是什么?

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 78 次。

如何安装 pdf?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install court-form-filling-pdf」即可一键安装,无需额外配置。

pdf 是免费的吗?

是的,pdf 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

pdf 支持哪些平台?

pdf 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 pdf?

由 wu-uk(@wu-uk)开发并维护,当前版本 v0.1.0。

💬 留言讨论