Agent skill

PDF Verification Check 112b09

by HKUDS in HKUDS/OpenSpace

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

MITAuto-check passedDocuments & Office

Install PDF Verification Check 112b09

skills CLI
$ npx skills add HKUDS/OpenSpace --skill pdf-verification-check-112b09 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HKUDS/OpenSpace pdf-verification-check-112b09 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-verification-check-112b09 .claude/skills/pdf-verification-check-112b09 && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pdf-verification-check-112b09
GitHub stars
7.8k
Token cost
~875 tokens
SKILL.md length
162 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: Install PyPDF2 (if not available) → Verify PDF Page Count and Integrity → Use run_shell for Verification → …
  • Tasks that involve PDF
  • SKILL.md covers When to Use, Verification Steps, Common Issues Caught and Example Workflow
  • Calls pip and python

What it does

PDF Verification Check 112b09 is an agent skill from HKUDS/OpenSpace. Verify generated PDF files using PyPDF2 to check page counts and integrity

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

It sits in Documents & Office, covering PDF. It works with pypdf. The repository describes itself as: "OpenSpace: The Skill Management Layer for AI Agents" -- https://open-space.cloud/. The licence is MIT.

When your agent uses it

  • Tasks that involve PDF

Example prompts

  • “/pdf-verification-check-112b09”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Install PyPDF2 (if not available)
  2. Verify PDF Page Count and Integrity
  3. Use run_shell for Verification
  4. Verify Before Completion

What it can do on your machine

Read from SKILL.md and the folder at commit 3827781. 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

    Shell commands in SKILL.md call:

    • pip
    • python

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

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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 Verification Check 112b09 loads about 875 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~875

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from HKUDS/OpenSpace at commit 3827781, republished under its MIT licence (© HKUDS). 162 words, ~875 tokens.

Download SKILL.mdSave it as .claude/skills/pdf-verification-check-112b09/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
pdf-verification-check-112b09
description
Verify generated PDF files using PyPDF2 to check page counts and integrity

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}"

© HKUDS, MIT. 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 1 other file in benchmarks/gdpval/skills/pdf-verification-check-112b09 of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

PDF Verification Check 112b09 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

PDF Verification Check 112b09 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
PDF Verification Check 112b09 this skillHKUDS/OpenSpace7.8k—~875Automated safety check: PassMIT
PDFzai-org/ZCode7.7k—~18kAutomated safety check: NotesProprietary
PDFnuoyimanaituling/manus-x830—~985Automated safety check: PassNone
PDFeinverne/dotfiles12147 repos~1.8kAutomated safety check: PassProprietary
Reportlabjimmc414/Kosmos5951 repos~4.2kAutomated safety check: PassNone
PDFguyi-a/pi-ling106—~3.3kAutomated safety check: PassMIT

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Works with

Questions about PDF Verification Check 112b09

What does PDF Verification Check 112b09 do?

Verify generated PDF files using PyPDF2 to check page counts and integrity. PDF Verification Check 112b09 is an agent skill from HKUDS/OpenSpace.

When should I use PDF Verification Check 112b09?

PDF Verification Check 112b09 fits situations like: tasks that involve PDF.

How do I install PDF Verification Check 112b09 in Claude Code?

Run `npx skills add HKUDS/OpenSpace --skill pdf-verification-check-112b09 -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-verification-check-112b09 in HKUDS/OpenSpace) into .claude/skills/pdf-verification-check-112b09 in your project. Claude Code loads it when a task matches its description.

How do I install PDF Verification Check 112b09 in Codex?

Run `npx skills add HKUDS/OpenSpace --skill pdf-verification-check-112b09 -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/pdf-verification-check-112b09 in HKUDS/OpenSpace) into .agents/skills/pdf-verification-check-112b09 in your project. Codex loads it when a task matches its description.

Can I use PDF Verification Check 112b09 in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/OpenSpace --skill pdf-verification-check-112b09 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pdf-verification-check-112b09, .gemini/skills/pdf-verification-check-112b09, .github/skills/pdf-verification-check-112b09 and .opencode/skills/pdf-verification-check-112b09 in your project.

What does PDF Verification Check 112b09 need to run?

Going by SKILL.md and its folder, PDF Verification Check 112b09 needs the command-line tools its instructions call (pip and python). Our summary lists: Python 3.

Does PDF Verification Check 112b09 access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is PDF Verification Check 112b09 safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does PDF Verification Check 112b09 use?

PDF Verification Check 112b09 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does PDF Verification Check 112b09 use?

About 875 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to PDF Verification Check 112b09?

Skills that share tags, products or a category with PDF Verification Check 112b09: PDF (zai-org/ZCode, 7.7k stars), PDF (nuoyimanaituling/manus-x, 830 stars), PDF (einverne/dotfiles, 121 stars) and Reportlab (jimmc414/Kosmos, 595 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PDF Verification Check 112b09?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,754 GitHub stars. The repository holds 199 skills in this directory. The repository was last updated on August 12, 2026.

Source: HKUDS/OpenSpace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.