pdf-gen-fallback-dee20c

pdf-gen-fallback-dee20c is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 20 tokens per session (892 once invoked), scanned A, original, MIT.

A shell-based fallback workflow for generating PDFs and other documents when a code sandbox gives unclear errors.

In plain words
What is it for?
It helps create PDFs, reports, and structured documents with Python after checking tools such as ReportLab, FPDF, or pypdf.
Why use it?
It provides a more direct execution route and includes checks for missing Python document libraries.

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 with Python after checking…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/openspace/pdf-gen-fallback-dee20c
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 · 7,510 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-dee20c
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-dee20c

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-gen-fallback-dee20c.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-gen-fallback-dee20c)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-gen-fallback-dee20c"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-gen-fallback-dee20c.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 892 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 $0.00020 $0.00892
Opus 5 $0.00010 $0.00446
Sonnet 5 $0.00004 $0.00178
Haiku 4.5 $0.00002 $0.00089

Measured 3d ago against content hash efb6b62f4809, 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-dee20c 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-dee20c/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Generation Fallback Workflow

Purpose

When execute_code_sandbox returns opaque or unhelpful errors during document/PDF generation, use run_shell with direct python -c execution as a reliable alternative. This pattern includes library availability checks and explicit error handling.

When to Use

  • execute_code_sandbox fails with unclear error messages during document generation
  • PDF, report, or document creation tasks are failing unexpectedly
  • You need more control over the Python execution environment

Step-by-Step Instructions

1. Check Library Availability

Before attempting generation, verify required libraries are installed:

run_shell: python -c "import reportlab; print('reportlab OK')"
run_shell: python -c "import fpdf; print('fpdf OK')"
run_shell: python -c "import PyPDF2; print('PyPDF2 OK')"

If a library is missing, install it:

run_shell: pip install reportlab --quiet

2. Execute Generation via run_shell

Instead of execute_code_sandbox, use run_shell with python -c:

run_shell: 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 generated successfully')
"

3. Handle Errors Explicitly

Wrap generation code with try/except and capture stderr:

run_shell: python -c "
import sys
try:
    # Your generation code here
    from reportlab.pdfgen import canvas
    c = canvas.Canvas('output.pdf')
    c.drawString(100, 750, 'Content')
    c.save()
    print('SUCCESS: PDF created')
    sys.exit(0)
except Exception as e:
    print(f'ERROR: {type(e).__name__}: {e}', file=sys.stderr)
    sys.exit(1)
" 2>&1

4. Verify Output File

After generation, confirm the file was created:

run_shell: ls -la output.pdf
run_shell: file output.pdf

5. Fallback Hierarchy

If the first approach fails, try alternatives in this order:

Read the full file on GitHub · 132 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 · 132 lines · 20 tokens per session scan A efb6b62f4809

Subscribe to this mod's changes

pdf-gen-fallback-dee20c is a skill published in the GitHub repository HKUDS/OpenSpace (7,510 stars, last pushed 25d ago), licensed MIT. It adds 20 tokens to every session and 892 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.

Related

Other skills, from other repositories

pydicom

Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.

K-Dense-AI/scientific-agent-skills · 56 tokens

foundry-hosted-agent-validation

Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.

microsoft/agent-framework · 82 tokens

skill-doc-delivery

Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.

nyldn/claude-octopus · 29 tokens

parse-document

Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.

superlinked/sie · 64 tokens

meta-web-to-pdf-briefing

Render a topic into a distributable PDF briefing in three steps: web search → bullet summary → styled PDF. Trigger when the user asks for a PDF briefing on a single topic.

opensquilla/opensquilla · 45 tokens

chat-complex-documents

Chat with and search your complex documents — ask questions, extract tables and fields, and get answers grounded in the source. Connects the hosted Unstructured Transform MCP server to parse, structure, and enrich PDFs, Word/Excel/PowerPoint, images, scanned files, emails, and 60+ other formats into clean, AI-ready…

vellum-ai/vellum-assistant · 90 tokens