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 robust-pdf-readgit 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/robust-pdf-read)<a href="https://agentmods.dev/skills/hkuds/openspace/robust-pdf-read"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/robust-pdf-read.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 | $0.00023 | $0.00560 |
| Opus 5 | $0.00012 | $0.00280 |
| Sonnet 5 | $0.00005 | $0.00112 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
robust-pdf-read 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 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.
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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Robust PDF Text Extraction
Problem
Standard file reading tools (e.g., read_file) often fail to extract text from PDF documents. Instead of returning parsed text, they may return:
- Raw binary data
- Base64 encoded images
- Garbled characters or null bytes
This occurs because PDFs are complex binary formats, not plain text files. Attempts to parse them using general-purpose Python libraries (like PyMuPDF) in sandboxed environments may also fail due to missing dependencies or environment restrictions.
Solution
Use the pdftotext command-line utility (part of poppler-utils) via run_shell. This tool is commonly pre-installed in Linux environments and reliably extracts text content from PDFs.
Procedure
1. Detect Extraction Failure
When attempting to read a PDF:
- Check the content returned by
read_file. - If the content contains null bytes (
\x00), appears as base64, or is clearly binary/garbled, assume standard reading has failed.
2. Execute pdftotext
Run the following shell command using run_shell:
pdftotext -layout -nopgbrk <file_path> -
-layout: Maintains the physical layout of the text (optional but recommended).-nopgbrk: Prevents inserting form feed characters between pages.-: Outputs content to stdout instead of creating a new file.
3. Parse Output
Capture the stdout from the shell command. This string is the extracted text.
Example Usage
Scenario: You need to read document.pdf.
Step 1: Attempt standard read
content = read_file("document.pdf")
if "\x00" in content or not content.strip():
# Fallback needed
pass
Step 2: Fallback to shell
result = run_shell("pdftotext -layout -nopgbrk document.pdf -")
text = result.stdout
Prerequisites
- The environment must have
pdftotextinstalled (usually viapoppler-utils). - If
pdftotextis not found, attempt to install it (apt-get install poppler-utils) if permissions allow, or notify the user.
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 · 66 lines · 23 tokens per session scan A d8bacce9b3ca
robust-pdf-read is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 26d ago), licensed MIT. It adds 23 tokens to every session and 560 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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