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-3d3a9agit 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-3d3a9a)<a href="https://agentmods.dev/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced-3d3a9a"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced-3d3a9a/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-3d3a9a"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced-3d3a9a.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 | $0.00024 | $0.02895 |
| Opus 5 | $0.00012 | $0.01448 |
| Sonnet 5 | $0.00005 | $0.00579 |
| Haiku 4.5 | $0.00002 | $0.00290 |
Grade A, and why
doc-gen-unicode-diagnostic 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 — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document Generation with Diagnostic Workflow (Unicode-Safe)
When to Use
Use this skill when document generation tasks fail or return unclear errors, especially when:
- Generating documents in multiple formats (
.docx,.pdf,.html) - PDF generation fails with encoding/LaTeX errors
shell_agentreturns "unknown error" without diagnostics- Documents contain special characters, symbols, or non-ASCII text
- You need systematic error diagnosis rather than blind retries
⚠️ Critical: Why This Skill Exists
Recent executions show 43% effectiveness because agents:
- Skip unicode sanitization before PDF conversion
- Don't try
xelatexengine (better Unicode support) - Don't capture stderr for proper diagnosis
- Exhaust iterations on repeated failures without systematic troubleshooting
This skill fixes those gaps with mandatory steps.
Pre-Flight Validation (NEW - Required Step 0)
Before starting document generation, verify your toolchain:
run_shell
command: which pandoc && pandoc --version | head -3
run_shell
command: which pdflatex xelatex wkhtmltopdf 2>/dev/null || echo "Some engines missing"
run_shell
command: python3 -c "import sys; print(sys.version)"
If pandoc is missing, install it:
run_shell
command: apt-get update && apt-get install -y pandoc
For PDF support, install LaTeX engines:
run_shell
command: apt-get install -y texlive-latex-recommended texlive-fonts-recommended texlive-xetex
Core Technique
Manually split the workflow into observable, diagnostic steps:
- Pre-flight → Verify toolchain availability
- Content creation → Use
write_filefor markdown source (visible content) - Unicode sanitization → MANDATORY for PDF: Create sanitized version
- Format conversion with fallback → Try engines in order, capture stderr
- Verification → Check outputs exist and validate content
Unicode & LaTeX Compatibility (MANDATORY for PDF)
PDF generation via LaTeX has limited Unicode support. Before PDF conversion, you MUST sanitize:
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 · 375 lines · 24 tokens per session scan A 42127ac811ba
doc-gen-unicode-diagnostic is a skill published in the GitHub repository HKUDS/OpenSpace (7,552 stars, last pushed 28d ago), licensed MIT. It adds 24 tokens to every session and 2,895 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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