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-extraction-fallbacksgit 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-extraction-fallbacks)<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-extraction-fallbacks"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-extraction-fallbacks.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 | $0.00022 | $0.01953 |
| Opus 5 | $0.00011 | $0.00977 |
| Sonnet 5 | $0.00004 | $0.00391 |
| Haiku 4.5 | $0.00002 | $0.00195 |
Grade A, and why
pdf-extraction-fallbacks scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -L -o document.pdf "$URL" How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Extraction with Multi-Fallback Strategy
Purpose
When extracting text from PDFs (especially regulatory documents, handbooks, or protected content), single-method approaches often fail due to JavaScript protection, CORS restrictions, encoding issues, or corrupted downloads. This skill provides a robust multi-fallback workflow that detects failures early and tries sequential extraction methods.
Core Pattern
- Download with validation - Check file size and content sanity immediately
- Sequential extraction attempts - Try multiple tools in order of reliability
- Early failure detection - Don't proceed with obviously corrupt files
- Document fallback path - Log which method succeeded for future reference
Step-by-Step Instructions
Step 1: Download and Validate
Before attempting extraction, validate the downloaded file:
# Download the PDF
curl -L -o document.pdf "$URL"
# Check file size (reject if < 1KB - likely error page)
FILE_SIZE=$(stat -f%z document.pdf 2>/dev/null || stat -c%s document.pdf 2>/dev/null)
if [ "$FILE_SIZE" -lt 1024 ]; then
echo "ERROR: File too small ($FILE_SIZE bytes) - likely not a valid PDF"
# Check if it's an HTML error page
head -c 200 document.pdf | grep -i "<html\|<!doctype\|error\|access denied" && \
echo "Detected HTML error page instead of PDF"
exit 1
fi
# Check PDF magic bytes
HEAD_BYTES=$(head -c 4 document.pdf)
if [ "$HEAD_BYTES" != "%PDF" ]; then
echo "ERROR: File does not start with PDF magic bytes"
head -c 100 document.pdf
exit 1
fi
Step 2: Primary Extraction (pdftotext)
# Try pdftotext first (fastest, most reliable for simple PDFs)
if command -v pdftotext &> /dev/null; then
pdftotext -layout document.pdf output.txt 2>/dev/null
if [ -s output.txt ]; then
WORD_COUNT=$(wc -w < output.txt)
if [ "$WORD_COUNT" -gt 50 ]; then
echo "SUCCESS: pdftotext extracted $WORD_COUNT words"
exit 0
fi
fi
fi
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 · 257 lines · 22 tokens per session scan A 8fd00e9806da
pdf-extraction-fallbacks is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 22 tokens to every session and 1,953 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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