pdf-generation-troubleshooting

pdf-generation-troubleshooting is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 27 tokens per session (920 once invoked), scanned A, original, MIT.

A troubleshooting workflow for generating PDFs by trying several document-conversion tools in sequence.

In plain words
What is it for?
It helps check for Pandoc, then use ReportLab or fpdf2 as alternatives for converting or creating PDFs.
Why use it?
It helps continue PDF generation when one tool is unavailable or fails.

Skill for Claude CodeCodex

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

Good fit It helps check for Pandoc, then use ReportLab or fpdf2 as alternatives for converting or creating PDFs.

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Install with agentmods
npx agentmods add skills/hkuds/openspace/pdf-generation-troubleshooting
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

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add HKUDS/OpenSpace --skill pdf-generation-troubleshooting
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

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-generation-troubleshooting

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-generation-troubleshooting.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-generation-troubleshooting)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-generation-troubleshooting"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-generation-troubleshooting.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 920 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00027 $0.00920
Opus 5 $0.00014 $0.00460
Sonnet 5 $0.00005 $0.00184
Haiku 4.5 $0.00003 $0.00092

Measured 4d ago against content hash 5884188e4bba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pdf-generation-troubleshooting 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 4d 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-generation-troubleshooting/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Generation Troubleshooting Workflow

This skill provides a systematic approach to generating PDFs when multiple tools may be unavailable. Follow this fallback sequence to ensure PDF generation succeeds.

Workflow Overview

  1. Try pandoc first (simplest for markdown/HTML conversion)
  2. Fallback to reportlab (Python library for programmatic PDFs)
  3. Fallback to fpdf2 (alternative Python PDF library)

Each step includes installation verification before execution.

Step 1: Attempt pandoc Conversion

Use pandoc for markdown or HTML to PDF conversion. Check availability first:

# Check if pandoc is available
which pandoc || echo "pandoc not found"

If available, convert:

pandoc input.md -o output.pdf

If pandoc fails or is unavailable, proceed to Step 2.

Step 2: Attempt reportlab

Check Installation

python3 -c "import reportlab" 2>/dev/null && echo "reportlab available" || echo "reportlab not found"

Install if Needed

pip install reportlab

Create PDF Script

Use write_file to create a Python script:

from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

def create_pdf(filename, content):
    c = canvas.Canvas(filename, pagesize=letter)
    c.drawString(100, 750, content)
    c.save()

if __name__ == "__main__":
    create_pdf("output.pdf", "Your content here")

Execute Script

Use run_shell with proper directory context:

cd /path/to/working/directory && python3 script.py

If reportlab fails, proceed to Step 3.

Step 3: Attempt fpdf2

Check Installation

python3 -c "from fpdf import FPDF" 2>/dev/null && echo "fpdf2 available" || echo "fpdf2 not found"

Install if Needed

pip install fpdf2

Create PDF Script

from fpdf import FPDF

def create_pdf(filename, text):
    pdf = FPDF()
    pdf.add_page()
    pdf.set_font("Arial", size=12)
    pdf.cell(200, 10, txt=text, ln=True)
    pdf.output(filename)

if __name__ == "__main__":
    create_pdf("output.pdf", "Your content here")

Read the full file on GitHub · 156 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. 4d ago First seen · 156 lines · 27 tokens per session scan A 5884188e4bba

Subscribe to this mod's changes

pdf-generation-troubleshooting is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 27 tokens to every session and 920 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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