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-download-extract-fallbackgit 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-download-extract-fallback)<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-download-extract-fallback"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-download-extract-fallback.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.02322 |
| Opus 5 | $0.00009 | $0.01161 |
| Sonnet 5 | $0.00004 | $0.00464 |
| Haiku 4.5 | $0.00002 | $0.00232 |
Grade A, and why
pdf-download-extract-fallback scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Many PDF hosting sites use JavaScript-based redirects or block automated requests. Use curl with a realistic browser user-agent: How it starts
The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Download and Extract with Fallback
This skill provides a robust workflow for acquiring PDF documents from web sources and extracting their text content, with multiple fallback mechanisms to handle various failure modes.
Overview
When working with PDFs from web sources, encounters with JavaScript redirects, corrupted files, missing tools, or inaccessible content are common. This workflow ensures maximum success rate through progressive fallback strategies.
Step-by-Step Instructions
Step 1: Download PDF with Browser User-Agent
Many PDF hosting sites use JavaScript-based redirects or block automated requests. Use curl with a realistic browser user-agent:
curl -L -A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" -o output.pdf "URL_HERE"
Key flags:
-L: Follow redirects-A: Set user-agent header to mimic a real browser-o: Specify output filename
Step 2: Verify File Type Before Parsing
Always validate the downloaded file is actually a PDF before attempting extraction:
file output.pdf
Expected output should contain "PDF document". If not:
- The URL may have redirected to an HTML error page
- The file may be corrupted
- Access may be blocked
Step 3: Primary Extraction with pdftotext
First attempt extraction using the standard pdftotext utility (part of poppler-utils):
pdftotext output.pdf output.txt
If pdftotext is not available, install it:
# Debian/Ubuntu
apt-get update && apt-get install -y poppler-utils
# macOS
brew install poppler
# RHEL/CentOS
yum install -y poppler-utils
Step 4: Fallback to PyMuPDF (fitz)
If pdftotext fails or produces poor results, use Python's PyMuPDF library:
import fitz # PyMuPDF
doc = fitz.open("output.pdf")
text = ""
for page in doc:
text += page.get_text()
doc.close()
with open("output.txt", "w") as f:
f.write(text)
Install if needed:
pip install pymupdf
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.
- 4d ago First seen · 291 lines · 18 tokens per session scan A 5ea87ed04cd2
pdf-download-extract-fallback is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 26d ago), licensed MIT. It adds 18 tokens to every session and 2,322 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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