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在 OpenClaw 中安装
/install invoice-fraud-detection-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
What to consider before installing/using this skill:
- The code and README appear to implement a legitimate PDF toolkit, but the package does not declare the many Python packages and system tools it uses (pypdf, pdfplumber, pdf2image, pytesseract, reportlab, pypdfium2, pillow) nor CLI tools (poppler-utils: pdftotext/pdfimages, qpdf, pdftk, tesseract). Make sure the runtime has these dependencies or the scripts will fail.
- The bundle contains executable Python scripts. Running them will execute code on your agent/environment — review the scripts (they are included) and run them in a sandbox or test environment first, especially if you will process sensitive PDFs.
- One script monkeypatches an internal pypdf method (fill_fillable_fields.py). That is likely a workaround, but it changes library behavior at runtime and could have unintended side effects; inspect and test it.
- The LICENSE is restrictive (claims Anthropic ownership and forbids extracting/copying materials). Ensure you have the legal right to use these files in your environment.
- There is no network activity in the scripts as provided, but processing user documents can expose sensitive data locally — do not feed private documents unless you trust the environment. Consider running on non-sensitive samples first and verify outputs.
- If you plan to use it, add explicit dependency installation instructions (or a requirements.txt/venv) and prefer running in an isolated environment (container or VM).
功能分析
Type: OpenClaw Skill
Name: invoice-fraud-detection-pdf
Version: 0.1.0
The bundle is a comprehensive and well-documented toolkit for PDF processing, including text extraction, form filling, and document manipulation. It utilizes standard Python libraries such as pypdf, pdfplumber, and reportlab, and provides clear instructions for an AI agent to handle both fillable and non-fillable forms through a structured workflow (forms.md). No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; even the monkeypatch in scripts/fill_fillable_fields.py is explicitly documented as a fix for a known library bug.
能力评估
Purpose & Capability
The name/description match the included scripts and SKILL.md: the bundle provides PDF reading, form extraction/filling, image conversion, annotation, and table extraction. However, the skill declares no required binaries/env or install spec despite using many third-party Python libraries and CLI tools (pypdf, pdfplumber, pdf2image, pytesseract, reportlab, pypdfium2, PIL, poppler-utils tools like pdftotext/pdfimages, qpdf, pdftk). Also the registry metadata said "No install spec — instruction-only" while the archive actually contains executable Python scripts, which is an inconsistency.
Instruction Scope
SKILL.md and forms.md instruct only local PDF processing steps and running the included Python scripts. The runtime instructions/ scripts operate on local files (PDFs, generated PNGs, JSON field descriptors) and do not call any external network endpoints or request unrelated system files or credentials. They do, however, require the user/agent to open and process arbitrary PDF files (expected for this tool).
Install Mechanism
There is no install spec (good that nothing is downloaded at install time), but the code bundle contains multiple Python scripts that will be executed; the package relies on many external Python packages and system utilities which are not declared or provided. Because the scripts are executed locally, they can run arbitrary code in the agent's environment. There is no remote download URL in the install steps, so high-risk remote-install indicators are absent, but the lack of dependency declaration is a practical and security concern.
Credentials
The skill requests no environment variables or credentials (none declared). That is proportionate for a PDF processing toolkit. Note: the LICENSE file is proprietary and restrictive (disallows extracting materials or keeping copies outside the Services); this is a legal/operational concern but not an environment-credential leak.
Persistence & Privilege
Flags indicate the skill is not forced-always and model invocation is allowed (normal). The skill does not request persistent system-wide changes, does not modify other skills, and does not request elevated privileges.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install invoice-fraud-detection-pdf - 安装完成后,直接呼叫该 Skill 的名称或使用
/invoice-fraud-detection-pdf触发 - 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
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 71 次。
如何安装 pdf?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install invoice-fraud-detection-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。
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