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.
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.
npx skills add HKUDS/OpenSpace --skill pdf-gen-fallback-dee20cgit clone --depth 1 https://github.com/HKUDS/OpenSpaceWrote 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.
[](https://agentmods.dev/skills/hkuds/openspace/pdf-gen-fallback-dee20c)<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>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.
| Model | Per session | Once 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 |
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.
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_sandboxfails 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:
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.
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.
- 3d ago First seen · 132 lines · 20 tokens per session scan A efb6b62f4809
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.
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