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pdf_ssssssss

作者 mockerzxy · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install pdfssssssss
功能描述
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multipl...
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)

Subscripts and Superscripts

IMPORTANT: Never use Unicode subscript/superscript characters (₀₁₂₃₄₅₆₇₈₉, ⁰¹²³⁴⁵⁶⁷⁸⁹) in ReportLab PDFs. The built-in fonts do not include these glyphs, causing them to render as solid black boxes.

Instead, use ReportLab's XML markup tags in Paragraph objects:

from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheet

styles = getSampleStyleSheet()

# Subscripts: use \x3Csub> tag
chemical = Paragraph("H\x3Csub>2\x3C/sub>O", styles['Normal'])

# Superscripts: use \x3Csuper> tag
squared = Paragraph("x\x3Csuper>2\x3C/super> + y\x3Csuper>2\x3C/super>", styles['Normal'])

For canvas-drawn text (not Paragraph objects), manually adjust font the size and position rather than using Unicode subscripts/superscripts.

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 internally consistent for PDF processing, but review and follow these precautions before using it: - Review and install the required Python libraries (pypdf, pdfplumber, pdf2image, pillow, reportlab, pandas if needed) and any optional CLI tools (qpdf, pdftotext, ImageMagick) from trusted package sources. - The code operates on local files only, but treat untrusted PDFs as potentially malicious (PDFs can contain exploits); run scripts in an isolated/containerized environment when processing unknown documents. - The fill script monkeypatches a pypdf internals method at startup; that can change behavior of pypdf calls in the same process—avoid running untrusted code in the same interpreter session. - The included LICENSE is restrictive (Anthropic proprietary text) — confirm you have the right to use/copy these materials according to that license. - If you need tighter control, add an explicit dependency/install step (pip requirements) and inspect any third-party packages before installing.
功能分析
Type: OpenClaw Skill Name: pdfssssssss Version: 1.0.0 The skill bundle provides a comprehensive and legitimate set of tools for PDF manipulation, including reading, merging, splitting, OCR, and advanced form filling. It contains several utility scripts (e.g., extract_form_field_info.py, fill_fillable_fields.py, and extract_form_structure.py) that use standard libraries like pypdf and pdfplumber to handle both fillable and non-fillable PDF forms. The instructions in SKILL.md and forms.md are well-structured and align perfectly with the stated purpose of the skill, with no evidence of malicious intent, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
The name/description (general PDF processing) aligns with the included scripts and docs: reading/extracting text and tables, converting pages to images, detecting/filling form fields, and adding annotations. No unrelated environment variables, binaries, or config paths are requested.
Instruction Scope
SKILL.md and the included scripts focus on local PDF processing using Python libraries (pypdf, pdfplumber, pdf2image, PIL, reportlab) and optional CLI tools (pdftotext, qpdf, pdftk, ImageMagick). The instructions do not reference reading system credentials or exfiltrating data. Note: the docs assume installation/availability of several third-party libraries and optional binaries that are not declared in the skill metadata; the runtime will require these to be present.
Install Mechanism
There is no install spec (instruction-only). That minimizes automatic install risk, but the package includes Python scripts that rely on multiple third-party libraries; the skill does not provide an explicit, auditable install step. User should install dependencies from trusted sources before running scripts.
Credentials
The skill declares no environment variables, credentials, or config paths. The scripts only operate on files provided as arguments and do not access external secrets or other services.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide privileges or modify other skills. It does monkeypatch a pypdf method at runtime (local to the process), which is normal for a local script but could affect other pypdf usage in the same process.
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 pdfssssssss
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /pdfssssssss 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
v1.0.0
first
元数据
Slug pdfssssssss
版本 1.0.0
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_ssssssss 是什么?

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multipl... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 135 次。

如何安装 pdf_ssssssss?

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

pdf_ssssssss 是免费的吗?

是的,pdf_ssssssss 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

pdf_ssssssss 支持哪些平台?

pdf_ssssssss 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_ssssssss?

由 mockerzxy(@mockerzxy)开发并维护,当前版本 v1.0.0。

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