Agent skill

PDF Checklist Generation

by HKUDS in HKUDS/OpenSpace

Generate structured PDF checklists and reports using Python libraries in sandbox

MITAuto-check passedDocuments & Office

Install PDF Checklist Generation

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

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace pdf-checklist-generation --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-checklist-generation .claude/skills/pdf-checklist-generation && 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-checklist-generation
GitHub stars
7.8k
Token cost
~900 tokens
SKILL.md length
242 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Generate structured PDF checklists and reports using Python libraries in sandbox

  • Works in 4 steps: Install Required Library → Create PDF Generation Script → Execute in Sandbox → …
  • Tasks that involve PDF
  • SKILL.md covers When to Use, Available Libraries, Step-by-Step Workflow and Best Practices, plus 2 more sections
  • Calls pip

What it does

PDF Checklist Generation is an agent skill from HKUDS/OpenSpace. Generate structured PDF checklists and reports using Python libraries in sandbox

Its SKILL.md is about 900 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 Python. 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-checklist-generation”

Requirements

  • Python 3

Workflow steps

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

  1. Install Required Library
  2. Create PDF Generation Script
  3. Execute in Sandbox
  4. Verify Output

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

    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 Checklist Generation loads about 900 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 242 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
~900

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). 242 words, ~900 tokens.

Download SKILL.mdSave it as .claude/skills/pdf-checklist-generation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
pdf-checklist-generation
description
Generate structured PDF checklists and reports using Python libraries in sandbox

PDF Checklist Generation

This skill provides a workflow for creating professional PDF documents (checklists, reports, scorecards) using Python libraries within an execute_code_sandbox environment.

When to Use

  • Need to generate downloadable PDF reports or checklists
  • Require structured documents with tables, sections, or scoring criteria
  • Working in a sandbox environment without direct file system access

Available Libraries

Choose one based on your needs:

LibraryBest ForComplexity
reportlabProfessional layouts, tables, precise controlMedium
fpdfSimple documents, quick generationLow
matplotlibCharts, graphs, visual reportsMedium

Step-by-Step Workflow

Step 1: Install Required Library
python
!pip install reportlab  # or fpdf, matplotlib
Step 2: Create PDF Generation Script

Example using reportlab:

python
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph, Spacer
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib import colors

def create_checklist_pdf(filename, checklist_items):
    doc = SimpleDocTemplate(filename, pagesize=letter)
    styles = getSampleStyleSheet()
    elements = []
    
    # Title
    elements.append(Paragraph("Assessment Checklist", styles['Heading1']))
    elements.append(Spacer(1, 12))
    
    # Table data
    data = [['Item', 'Status', 'Score']]
    for item in checklist_items:
        data.append([item['name'], item['status'], item['score']])
    
    # Create table
    table = Table(data)
    table.setStyle(TableStyle([
        ('BACKGROUND', (0, 0), (-1, 0), colors.grey),
        ('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
        ('ALIGN', (0, 0), (-1, -1), 'CENTER'),
        ('GRID', (0, 0), (-1, -1), 1, colors.black),
    ]))
    elements.append(table)
    
    doc.build(elements)
    print(f"PDF created: {filename}")

# Usage
checklist = [
    {'name': 'Security Check', 'status': 'Pass', 'score': 10},
    {'name': 'Performance Test', 'status': 'Fail', 'score': 5},
]
create_checklist_pdf('report.pdf', checklist)
Step 3: Execute in Sandbox

Run the script using execute_code_sandbox:

execute_code_sandbox(code="<your pdf generation code>")
Step 4: Verify Output

After generation, verify the PDF was created:

read_file(path="report.pdf")

Or inspect via shell:

execute_code_sandbox(code="import os; print(os.path.exists('report.pdf'))")

Best Practices

  1. Keep it simple: Start with basic layouts before adding complexity
  2. Test incrementally: Generate a minimal PDF first, then add features
  3. Handle errors: Wrap PDF generation in try/except blocks
  4. Verify file existence: Always confirm the PDF was created before proceeding
  5. Use UTF-8: Ensure text encoding is proper for special characters

Common Pitfalls

  • Forgetting to install the library before import
  • Not checking if file was created successfully
  • Using paths that don't exist in sandbox environment
  • Missing required dependencies for advanced features

Troubleshooting

IssueSolution
Import errorRun !pip install <library> first
File not foundCheck working directory with !pwd
Blank PDFEnsure doc.build() is called
Encoding issuesUse Unicode strings, specify encoding

© 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-checklist-generation of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

PDF Checklist Generation 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.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
PDF Checklist Generation this skillHKUDS/OpenSpace7.8k—~900Automated safety check: PassMIT
Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences2742 repos~2.7kAutomated safety check: PassApache-2.0
Software Certificate SkillIvanCodesDev/software-certificate-skill156—~1.6kAutomated safety check: PassMIT
Doc Cleanernotoriouslab/doc-cleaner309—~712Automated safety check: PassMIT
MineruNebutra/MinerU-Skill122—~504Automated safety check: PassMIT
Office To Mdshuyu-labs/WebCode278—~1kAutomated safety check: NotesCustom licence

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Works with

Questions about PDF Checklist Generation

What does PDF Checklist Generation do?

Generate structured PDF checklists and reports using Python libraries in sandbox. PDF Checklist Generation is an agent skill from HKUDS/OpenSpace.

When should I use PDF Checklist Generation?

PDF Checklist Generation fits situations like: tasks that involve PDF.

How do I install PDF Checklist Generation in Claude Code?

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

How do I install PDF Checklist Generation in Codex?

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

Can I use PDF Checklist Generation 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-checklist-generation -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-checklist-generation, .gemini/skills/pdf-checklist-generation, .github/skills/pdf-checklist-generation and .opencode/skills/pdf-checklist-generation in your project.

What does PDF Checklist Generation need to run?

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

Does PDF Checklist Generation 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 Checklist Generation 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 Checklist Generation use?

PDF Checklist Generation 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 Checklist Generation use?

About 900 tokens (SKILL.md is roughly 3.6k 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 Checklist Generation?

Skills that share tags, products or a category with PDF Checklist Generation: Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Software Certificate Skill (IvanCodesDev/software-certificate-skill, 156 stars), Doc Cleaner (notoriouslab/doc-cleaner, 309 stars) and Mineru (Nebutra/MinerU-Skill, 122 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PDF Checklist Generation?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,750 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.