Pdf Verification Check 112b09 logo

Pdf Verification Check 112b09

OrganizationPopular
HKUDS
pdf-verification-check-112b09

Verify generated PDF files using PyPDF2 to check page counts and integrity

Overview

PublisherHKUDS
RepositoryOpenSpace
Skill namepdf-verification-check-112b09
Stars
7.8K
Forks
923
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by HKUDS on GitHub. Read the source before you install it.

Installation

Install the Pdf Verification Check 112b09 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verification-check-112b09
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HKUDS/OpenSpace.git /tmp/OpenSpace
mkdir -p .claude/skills
cp -r /tmp/OpenSpace/benchmarks/gdpval/skills/pdf-verification-check-112b09 .claude/skills/pdf-verification-check-112b09
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdf Verification Check 112b09 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pdf Verification Check 112b09 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pdf Verification Check 112b09 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PDF Verification Check

After generating PDF files, always programmatically verify their structure and integrity before declaring task completion. This catches formatting errors, incorrect page counts, and corrupted files early.

When to Use

Use this skill whenever your task involves:

  • Generating PDF documents
  • Creating PDFs with specific page count requirements
  • Producing multi-part PDF outputs (e.g., listings + maps)

Verification Steps

1. Install PyPDF2 (if not available)

bash
pip install PyPDF2

2. Verify PDF Page Count and Integrity

Create a verification script or run inline Python:

python
from PyPDF2 import PdfReader
import os

def verify_pdf(pdf_path, expected_pages=None):
    """Verify PDF file exists, is readable, and has expected page count."""
    try:
        # Check file exists
        if not os.path.exists(pdf_path):
            return False, f"File not found: {pdf_path}"
        
        # Check file size (non-empty)
        file_size = os.path.getsize(pdf_path)
        if file_size == 0:
            return False, f"Empty file: {pdf_path}"
        
        # Open and verify PDF structure
        reader = PdfReader(pdf_path)
        actual_pages = len(reader.pages)
        
        # Check page count if expected
        if expected_pages is not None and actual_pages != expected_pages:
            return False, f"Expected {expected_pages} pages, got {actual_pages}"
        
        return True, f"Valid PDF with {actual_pages} page(s)"
        
    except Exception as e:
        return False, f"PDF verification failed: {str(e)}"

# Example usage
pdf_files = [
    ("listings.pdf", 2),
    ("map.pdf", 1),
]

all_valid = True
for pdf_path, expected in pdf_files:
    valid, message = verify_pdf(pdf_path, expected)
    print(f"{pdf_path}: {'✓' if valid else '✗'} {message}")
    if not valid:
        all_valid = False

if not all_valid:
    raise Exception("PDF verification failed - review and regenerate")

3. Use run_shell for Verification

Execute the verification using run_shell:

bash
python -c "
from PyPDF2 import PdfReader
import sys

pdf_path = 'output.pdf'
expected = 2

try:
    reader = PdfReader(pdf_path)
    actual = len(reader.pages)
    if actual != expected:
        print(f'ERROR: Expected {expected} pages, got {actual}')
        sys.exit(1)
    print(f'OK: {pdf_path} has {actual} page(s)')
except Exception as e:
    print(f'ERROR: {e}')
    sys.exit(1)
"

4. Verify Before Completion

Critical: Only mark your task as complete after ALL PDF verification checks pass. If verification fails:

  1. Examine the error message
  2. Regenerate the PDF with corrected formatting
  3. Re-run verification
  4. Repeat until all checks pass

Common Issues Caught

  • Wrong page counts (e.g., content spilling to extra pages)
  • Empty or corrupted PDF files
  • PDFs that fail to open properly
  • Missing expected sections due to formatting errors

Example Workflow

python
# 1. Generate PDF
generate_pdf("listings.pdf", content)

# 2. Verify before completion
valid, msg = verify_pdf("listings.pdf", expected_pages=2)
if not valid:
    # Fix and regenerate
    regenerate_pdf("listings.pdf", corrected_content)
    valid, msg = verify_pdf("listings.pdf", expected_pages=2)

# 3. Only complete if verification passes
assert valid, f"Cannot complete: {msg}"

Frequently asked questions

What does the Pdf Verification Check 112b09 AI skill do?

Verify generated PDF files using PyPDF2 to check page counts and integrity

Why use Pdf Verification Check 112b09 on TypingMind?

Because you install it once and use it with any model. Pdf Verification Check 112b09 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pdf Verification Check 112b09 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verification-check-112b09. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pdf Verification Check 112b09?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pdf Verification Check 112b09?

As many as you like. As long as a model supports skills, you can use Pdf Verification Check 112b09 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pdf Verification Check 112b09 AI skill free?

Yes. It is published on GitHub by HKUDS under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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