nuoyimanaituling/manus-x
Process PDF files - extract text, read content, create PDFs, merge or split documents.
Verify PDF page counts and file integrity programmatically using PyPDF2 after generation
$ npx skills add HKUDS/OpenSpace --skill pdf-verification -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/OpenSpace pdf-verification --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "pdf-verification" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verification into .claude/skills/pdf-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-verification", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verificationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HKUDS/OpenSpace --skill pdf-verification -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/OpenSpace pdf-verification --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-verification .agents/skills/pdf-verification && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pdf-verification" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verification into .agents/skills/pdf-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-verification", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/OpenSpace --skill pdf-verification -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/OpenSpace pdf-verification --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-verification .cursor/skills/pdf-verification && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pdf-verification" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verification into .cursor/skills/pdf-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-verification", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HKUDS/OpenSpace.git --path benchmarks/gdpval/skills/pdf-verification--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HKUDS/OpenSpace --skill pdf-verification -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/OpenSpace pdf-verification --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-verification .gemini/skills/pdf-verification && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pdf-verification" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verification into .gemini/skills/pdf-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-verification", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HKUDS/OpenSpace pdf-verificationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HKUDS/OpenSpace --skill pdf-verification -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .github/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-verification .github/skills/pdf-verification && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pdf-verification" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verification into .github/skills/pdf-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-verification", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/OpenSpace --skill pdf-verification -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/OpenSpace pdf-verification --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/benchmarks/gdpval/skills/pdf-verification .opencode/skills/pdf-verification && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pdf-verification" agent skill from https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-verification into .opencode/skills/pdf-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pdf-verification", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pdf-verificationVerify PDF page counts and file integrity programmatically using PyPDF2 after generation
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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3827781. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from HKUDS/OpenSpace at commit 3827781, republished under its MIT licence (© HKUDS). 186 words, ~977 tokens.
.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.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.
pip install PyPDF2Use run_shell to execute a Python verification script:
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)
"For tasks with multiple PDFs, verify each one:
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\"}')
"Add file size validation to catch empty or near-empty files:
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')
"# 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
SKILL.md and 1 other file in benchmarks/gdpval/skills/pdf-verification of HKUDS/OpenSpace.
Open the folder on GitHubat commit 3827781
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| PDF Verification this skillHKUDS/OpenSpace | 7.7k | — | ~977 | Automated safety check: Pass | MIT | |
| PDFnuoyimanaituling/manus-x | 830 | — | ~985 | Automated safety check: Pass | None | |
| PDFeinverne/dotfiles | 121 | 47 repos | ~1.8k | Automated safety check: Pass | Proprietary | |
| Reportlabjimmc414/Kosmos | 594 | 1 repos | ~4.2k | Automated safety check: Pass | None | |
| PDFguyi-a/pi-ling | 106 | — | ~3.3k | Automated safety check: Pass | MIT | |
| PDF ReadingWide-Moat/open-computer-use | 126 | 1 repos | ~2.7k | Automated safety check: Pass | Proprietary |
nuoyimanaituling/manus-x
Process PDF files - extract text, read content, create PDFs, merge or split documents.
einverne/dotfiles
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms.
jimmc414/Kosmos
PDF generation toolkit. An agent skill from jimmc414/Kosmos.
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…
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.
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。
HKUDS/OpenSpace
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.
HKUDS/OpenSpace
Handle cascading data retrieval tool failures by falling back to embedded knowledge generation
HKUDS/OpenSpace
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.
HKUDS/OpenSpace
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.
HKUDS/OpenSpace
Fallback ladder for failed sandboxed code runs, plus the habit of fixing the working directory first so generated files land in the right place.
HKUDS/OpenSpace
Fallback workflow for executing Python code when executecodesandbox fails repeatedly
Works with
Categories
Verify PDF page counts and file integrity programmatically using PyPDF2 after generation. PDF Verification is an agent skill from HKUDS/OpenSpace.
PDF Verification fits situations like: tasks that involve PDF.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.