pdf-gen-fallback

pdf-gen-fallback is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 16 tokens per session (739 once invoked), scanned A, original, MIT.

A fallback workflow for creating PDFs and other structured documents with Python from the shell when a code sandbox fails.

In plain words
What is it for?
It helps create PDFs, reports, and structured documents while checking whether required Python libraries are available.
Why use it?
It gives document-generation tasks another execution path when sandbox errors are unclear or standard execution is unreliable.

Skill for Claude CodeCodex

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

Good fit It helps create PDFs, reports, and structured documents while checking whether required Python libraries are available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/openspace/pdf-gen-fallback
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-gen-fallback
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-gen-fallback

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-gen-fallback.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-gen-fallback)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-gen-fallback"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-gen-fallback.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 739 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 $0.00016 $0.00739
Opus 5 $0.00008 $0.00369
Sonnet 5 $0.00003 $0.00148
Haiku 4.5 $0.00002 $0.00074

Measured 3d ago against content hash 2004a30af6bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pdf-gen-fallback 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-gen-fallback/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Generation Fallback

This skill provides a reliable workflow for generating PDFs and documents when execute_code_sandbox returns opaque errors. Use direct run_shell with python -c as a fallback, with library availability checks and explicit error handling.

When to Use

  • execute_code_sandbox fails with cryptic error messages during document/PDF generation
  • You need to generate PDFs, reports, or structured documents
  • Standard library execution is unreliable for document creation tasks

Step-by-Step Procedure

Step 1: Check Library Availability

Before attempting generation, verify that required libraries are installed:

run_shell command="python -c \"import reportlab; print('reportlab available')\""
run_shell command="python -c \"import fpdf; print('fpdf available')\""
run_shell command="python -c \"import pypdf; print('pypdf available')\""

Step 2: Attempt execute_code_sandbox First

Try the sandbox approach initially (it's cleaner for iteration):

execute_code_sandbox code="""
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

c = canvas.Canvas("output.pdf", pagesize=letter)
c.drawString(100, 750, "Document Content")
c.save()
print("ARTIFACT_PATH:/path/to/output.pdf")
"""

Step 3: Detect Opaque Errors

Watch for these failure indicators:

  • Generic "execution failed" messages
  • Import errors that don't match library availability checks
  • Timeout errors during document rendering
  • Missing artifact paths in output

Step 4: Fall Back to run_shell

If sandbox fails, use direct shell execution:

run_shell command="python -c \"
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
c = canvas.Canvas('output.pdf', pagesize=letter)
c.drawString(100, 750, 'Document Content')
c.save()
print('PDF created successfully')
\""

Step 5: Verify Output

After generation, confirm the file exists:

run_shell command="ls -la output.pdf && file output.pdf"

Read the full file on GitHub · 104 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 · 104 lines · 16 tokens per session scan A 2004a30af6bb

Subscribe to this mod's changes

pdf-gen-fallback is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 16 tokens to every session and 739 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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