pdf-checklist-workflow

pdf-checklist-workflow is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 25 tokens per session (2,432 once invoked), scanned A, original, MIT.

A Python workflow for creating structured PDF documents such as checklists, reports, and assessments.

In plain words
What is it for?
Use it to generate downloadable PDF checklists, reports, or evaluations with Python PDF libraries.
Why use it?
It provides a repeatable way to build documents with headings, tables, and scoring instead of formatting them by hand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python /tmp/generate_pdf.py.

Good fit Use it to generate downloadable PDF checklists, reports, or evaluations with Python PDF libraries.

Compare 6 skills from other repositories ↓
About the project

OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.

HKUDS/OpenSpace · 7,534 stars · on GitHub

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace
agentmods
npx agentmods add skills/hkuds/openspace/pdf-checklist-workflow

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pdf-checklist-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-checklist-workflow.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-checklist-workflow)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-checklist-workflow"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-checklist-workflow.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.02432
Opus 5 $0.00013 $0.01216
Sonnet 5 $0.00005 $0.00486
Haiku 4.5 $0.00003 $0.00243

Measured 3d ago against content hash 0d8c223f7710, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pdf-checklist-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

benchmarks/gdpval/skills/pdf-checklist-workflow/SKILL.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Checklist/Report Generation Workflow

This skill provides a reusable pattern for creating structured PDF documents such as checklists, reports, or assessments using Python in a sandboxed environment.

Overview

Use this workflow when you need to:

  • Generate PDF checklists, reports, or assessments
  • Create structured documents with tables, sections, and headers
  • Include scoring criteria or evaluation frameworks
  • Produce downloadable artifacts for users

Primary method: Use execute_code_sandbox for Python PDF generation Fallback method: If execute_code_sandbox fails, create and run Python scripts via shell commands

Step-by-Step Instructions

Step 1: Choose a PDF Library

Select a Python library based on your needs:

Library Best For Complexity
reportlab Professional reports, complex layouts Medium
fpdf / fpdf2 Simple documents, quick generation Low
matplotlib Charts, graphs, visual elements Medium

Step 2: Write PDF Generation Code in execute_code_sandbox

Use the execute_code_sandbox tool with Python code that:

  1. Imports the chosen PDF library
  2. Defines document structure (title, sections, tables)
  3. Adds content (text, tables, scores, criteria)
  4. Saves to a file path like /workspace/output.pdf
  5. Outputs the path using ARTIFACT_PATH: prefix for download

Determine workspace directory dynamically: Before generating PDFs, identify the correct output path:

# Option 1: Use current directory
WORKDIR=$(pwd)

# Option 2: Check common workspace locations
if [ -d "/workspace" ]; then WORKDIR="/workspace"
elif [ -d "$HOME/workspace" ]; then WORKDIR="$HOME/workspace"
else WORKDIR=$(pwd); fi

In Python code, use environment variables or dynamic path detection:

import os
workspace = os.environ.get('WORKSPACE', os.getcwd())
output_path = os.path.join(workspace, 'output.pdf')

Example using fpdf2:

from fpdf import FPDF

class PDFChecklist(FPDF):
    def header(self):
        self.set_font('Arial', 'B', 16)
        self.cell(0, 10, 'Assessment Checklist', 0, 1, 'C')
        self.ln(10)
    
    def section_title(self, title):
        self.set_font('Arial', 'B', 12)
        self.cell(0, 10, title, 0, 1, 'L')
        self.ln(5)
    
    def add_checklist_item(self, item, criteria, score):
        self.set_font('Arial', '', 10)
        self.cell(100, 8, item, 1)
        self.cell(60, 8, criteria, 1)
        self.cell(30, 8, str(score), 1)
        self.ln()

# Create PDF
pdf = PDFChecklist()
pdf.add_page()
pdf.set_auto_page_break(auto=True, margin=15)

# Add sections
pdf.section_title('Evaluation Criteria')
pdf.add_checklist_item('Requirement 1', 'Must meet standard', 5)
pdf.add_checklist_item('Requirement 2', 'Should be complete', 4)

# Save
output_path = '/workspace/checklist.pdf'
pdf.output(output_path)
print(f'ARTIFACT_PATH:{output_path}')

Read the full file on GitHub · 296 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 296 lines · 25 tokens per session scan A 0d8c223f7710

Subscribe to this mod's changes

pdf-checklist-workflow is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 25 tokens to every session and 2,432 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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