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 document-gen-fallback-enhanced-enhanced-c5d426git 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/document-gen-fallback-enhanced-enhanced-c5d426)<a href="https://agentmods.dev/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced-c5d426"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced-c5d426/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced-c5d426"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced-c5d426.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00019 | $0.03005 |
| Opus 5 | $0.00010 | $0.01503 |
| Sonnet 5 | $0.00004 | $0.00601 |
| Haiku 4.5 | $0.00002 | $0.00300 |
Grade A, and why
document-gen-unicode-safe 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 10d 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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document Generation Fallback Workflow (Unicode-Safe)
When to Use
First, assess whether to delegate to shell_agent or use manual workflow:
✅ Use shell_agent Directly When:
- Document is straightforward (no special Unicode characters, symbols, or non-ASCII text)
- Single format output needed (e.g., just
.docx) - Content is primarily ASCII text with standard punctuation
- No complex formatting requirements (tables, equations, custom templates)
- You want quick iteration and
shell_agenthas succeeded on similar tasks before
⚠️ Use Manual Workflow When:
shell_agentreturns unknown or unclear errors- Document contains special characters, symbols, or non-ASCII text (see Unicode table below)
- Generating multiple formats simultaneously (e.g.,
.docx,.pdf,.html) - PDF generation fails due to LaTeX encoding issues
- You need fine-grained control over each conversion step
- Previous
shell_agentattempts failed on similar content
📋 Decision Checklist
1. Does the document contain: em-dashes (—), curly quotes (" "), arrows (→),
checkmarks (✓), or other special symbols? → Use Manual Workflow
2. Is non-ASCII text present (é, ñ, ü, 中文,العربية)? → Use Manual Workflow with sanitization
3. Did shell_agent already fail on this or similar content? → Use Manual Workflow
4. Need multiple output formats with guaranteed success? → Use Manual Workflow
5. Simple ASCII document, single format, first attempt? → Try shell_agent First
Core Technique
Quick Path (for straightforward documents): Delegate directly to shell_agent with clear instructions:
shell_agent
task: Create a Word document from markdown content. Write the markdown to
/tmp/document.md, then convert to .docx using pandoc, and verify the output exists.
Manual Path (for complex/Unicode-heavy documents): Split the workflow into discrete, observable steps:
- Content creation → Use
write_fileto create source document (Markdown) - Unicode sanitization → Preprocess markdown to replace problematic characters before PDF conversion
- Format conversion → Use
run_shellwithpandocfor each target format - Verification → Check output files exist and are valid
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.
- 10d ago First seen · 367 lines · 19 tokens per session scan A f89ddf3e4f6e
document-gen-unicode-safe is a skill published in the GitHub repository HKUDS/OpenSpace (7,552 stars, last pushed 28d ago), licensed MIT. It adds 19 tokens to every session and 3,005 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 2026-08-30.
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