Agent skill

PDF Verification

by HKUDS in HKUDS/OpenSpace

Verify PDF page counts and file integrity programmatically using PyPDF2 after generation

MITAuto-check passedDocuments & Office

Install PDF Verification

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

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace pdf-verification --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 .claude/skills/pdf-verification && 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
GitHub stars
7.7k
Token cost
~977 tokens
SKILL.md length
186 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Verify PDF page counts and file integrity programmatically using PyPDF2 after generation

  • Works in 4 steps: Install PyPDF2 (if needed) → Verify Page Count and Integrity → Verify Multiple PDFs → …
  • Tasks that involve PDF
  • SKILL.md covers Purpose, When to Use, Verification Steps and Best Practices, plus 2 more sections
  • Calls python and pip

What it does

PDF Verification is an agent skill from HKUDS/OpenSpace. Verify PDF page counts and file integrity programmatically using PyPDF2 after generation

Its SKILL.md is about 980 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”

Requirements

  • Python 3

Workflow steps

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

  1. Install PyPDF2 (if needed)
  2. Verify Page Count and Integrity
  3. Verify Multiple PDFs
  4. Check File Size (Optional)

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:

    • python
    • pip

    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 loads about 977 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 186 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
~977

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). 186 words, ~977 tokens.

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

PDF Verification Skill

Purpose

After generating PDF files, always verify page counts and file integrity programmatically before declaring task completion. This catches formatting issues, empty pages, and corrupted files early.

When to Use

  • After any PDF generation task
  • When specific page counts are required
  • Before marking a PDF-related task as complete

Verification Steps

1. Install PyPDF2 (if needed)
bash
pip install PyPDF2
2. Verify Page Count and Integrity

Use run_shell to execute a Python verification script:

bash
python -c "
from PyPDF2 import PdfReader
import sys

def verify_pdf(filepath, expected_pages=None):
    try:
        reader = PdfReader(filepath)
        actual_pages = len(reader.pages)
        print(f'✓ {filepath}: {actual_pages} pages')
        
        if expected_pages and actual_pages != expected_pages:
            print(f'✗ Page count mismatch: expected {expected_pages}, got {actual_pages}')
            return False
        
        # Check file is not empty/corrupted
        if actual_pages == 0:
            print(f'✗ Empty PDF: {filepath}')
            return False
        
        return True
    except Exception as e:
        print(f'✗ Error reading {filepath}: {e}')
        return False

# Verify each PDF
results = []
results.append(verify_pdf('output.pdf', expected_pages=2))
print(f'All checks passed: {all(results)}')
sys.exit(0 if all(results) else 1)
"
3. Verify Multiple PDFs

For tasks with multiple PDFs, verify each one:

bash
python -c "
from PyPDF2 import PdfReader

pdfs = {
    'listings.pdf': 2,
    'map.pdf': 1,
    'summary.pdf': 1
}

all_passed = True
for filepath, expected in pdfs.items():
    try:
        reader = PdfReader(filepath)
        actual = len(reader.pages)
        status = '✓' if actual == expected else '✗'
        print(f'{status} {filepath}: {actual}/{expected} pages')
        if actual != expected:
            all_passed = False
    except Exception as e:
        print(f'✗ {filepath}: {e}')
        all_passed = False

print(f'Verification: {\"PASSED\" if all_passed else \"FAILED\"}')
"
4. Check File Size (Optional)

Add file size validation to catch empty or near-empty files:

bash
python -c "
import os
from PyPDF2 import PdfReader

filepath = 'output.pdf'
min_size = 1000  # minimum bytes

file_size = os.path.getsize(filepath)
if file_size < min_size:
    print(f'✗ File too small: {file_size} bytes')
else:
    reader = PdfReader(filepath)
    print(f'✓ {filepath}: {len(reader.pages)} pages, {file_size} bytes')
"

Best Practices

  1. Verify immediately after generation - Don't wait until the end of the task
  2. Check all required PDFs - Verify each file meets specifications
  3. Fail fast - If verification fails, regenerate before proceeding
  4. Log results - Print verification results for debugging
  5. Set reasonable minimums - Use file size checks to catch empty outputs

Common Issues Caught

  • Wrong page counts (extra blank pages, missing content)
  • Corrupted or unreadable PDF files
  • Empty PDFs (0 pages)
  • Files that appear generated but contain no actual content

Example Task Completion Check

bash
# Final verification before marking task complete
python -c "
from PyPDF2 import PdfReader
import sys

required = {'listings.pdf': 2, 'map.pdf': 1}
passed = True

for f, pages in required.items():
    try:
        actual = len(PdfReader(f).pages)
        if actual != pages:
            print(f'FAIL: {f} has {actual} pages, expected {pages}')
            passed = False
    except Exception as e:
        print(f'FAIL: Cannot read {f}: {e}')
        passed = False

if passed:
    print('SUCCESS: All PDFs verified')
    sys.exit(0)
else:
    sys.exit(1)
"

© 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 of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

PDF Verification 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
PDF Verification this skillHKUDS/OpenSpace7.7k—~977Automated safety check: PassMIT
PDFnuoyimanaituling/manus-x830—~985Automated safety check: PassNone
PDFeinverne/dotfiles12147 repos~1.8kAutomated safety check: PassProprietary
Reportlabjimmc414/Kosmos5941 repos~4.2kAutomated safety check: PassNone
PDFguyi-a/pi-ling106—~3.3kAutomated safety check: PassMIT
PDF ReadingWide-Moat/open-computer-use1261 repos~2.7kAutomated safety check: PassProprietary

Similar skills

  • PDF

    nuoyimanaituling/manus-x

    Process PDF files - extract text, read content, create PDFs, merge or split documents.

    830 GitHub stars~985 tokensUpdated 8 mo ago
    Documents & OfficeAuto-check passed
  • PDF

    einverne/dotfiles

    Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms.

    121 GitHub starsUsed in 47 repos~1.8k tokens
    Documents & OfficeAuto-check passed
  • Reportlab

    jimmc414/Kosmos

    PDF generation toolkit. An agent skill from jimmc414/Kosmos.

    594 GitHub starsUsed in 1 repo~4.2k tokens
    Documents & OfficeAuto-check passed
  • PDF

    guyi-a/pi-ling

    PDF 相关的所有操作:从零生成(reportlab / pypdf)、格式转化(md/html → PDF)、修改(合并 / 拆分 / 旋转 / 加水印 / 提图片 / 元数据)、读内容(pdfplumber / extractdocumenttext)、OCR 扫描件、加密解密。触发场景:用户说"生成 PDF" / "做份 PDF 简历" / "合并这几份 PDF" / "给 PDF…

    106 GitHub stars~3.3k tokensUpdated 22 days ago
    Documents & OfficeAuto-check passed
  • PDF Reading

    Wide-Moat/open-computer-use

    A skill your agent uses when you need to read, inspect, or extract content from PDF files — especially when file content is NOT in your context and you need to read it from disk.

    126 GitHub starsUsed in 1 repo~2.7k tokens
    Documents & OfficeAuto-check passed
  • PDF

    LeastBit/Claude_skills_zh-CN

    全面的 PDF 操作工具包,用于提取文本和表格、创建新 PDF、合并/拆分文档以及处理表单。当 Claude 需要填写 PDF 表单或以编程方式大规模处理、生成或分析 PDF 文档时使用。

    588 GitHub stars~1.5k tokensUpdated 8 mo ago
    Documents & OfficeAuto-check passed

More from HKUDS/OpenSpace

All 199 skills in this repo
  • Walks through producing a master audio track plus stems in Python, from checking a reference file and timing sections by BPM to effects, a zip archive and final verification.

    7.7k GitHub stars~2.9k tokensUpdated 1 mo ago
    Auto-check passed
  • Handle cascading data retrieval tool failures by falling back to embedded knowledge generation

    7.7k GitHub stars~765 tokensUpdated 1 mo ago
    Auto-check passed
  • Gives an agent a workaround when its code-execution sandbox keeps failing: save the Python script to a file and run it through the shell instead.

    7.7k GitHub stars~588 tokensUpdated 1 mo ago
    Auto-check passed
  • A recovery routine for agents whose sandboxed code runner keeps failing: save the Python script to disk, then run it through the shell and read the output.

    7.7k GitHub stars~652 tokensUpdated 1 mo ago
    Auto-check passed
  • Fallback ladder for failed sandboxed code runs, plus the habit of fixing the working directory first so generated files land in the right place.

    7.7k GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed
  • Fallback workflow for executing Python code when executecodesandbox fails repeatedly

    7.7k GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed

Works with

Questions about PDF Verification

What does PDF Verification do?

Verify PDF page counts and file integrity programmatically using PyPDF2 after generation. PDF Verification is an agent skill from HKUDS/OpenSpace.

When should I use PDF Verification?

PDF Verification fits situations like: tasks that involve PDF.

How do I install PDF Verification in Claude Code?

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

How do I install PDF Verification in Codex?

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

Can I use PDF Verification 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 -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, .gemini/skills/pdf-verification, .github/skills/pdf-verification and .opencode/skills/pdf-verification in your project.

What does PDF Verification need to run?

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

Does PDF Verification 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 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 use?

PDF Verification 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 use?

About 977 tokens (SKILL.md is roughly 3.9k 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?

Skills that share tags, products or a category with PDF Verification: PDF (nuoyimanaituling/manus-x, 830 stars), PDF (einverne/dotfiles, 121 stars), Reportlab (jimmc414/Kosmos, 594 stars) and PDF (guyi-a/pi-ling, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PDF Verification?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,749 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.