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 agentmods add skills/hkuds/openspace/document-gen-fallback-enhanced-enhancednpx skills add HKUDS/OpenSpace --skill document-gen-fallback-enhanced-enhancedgit 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)<a href="https://agentmods.dev/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/document-gen-fallback-enhanced-enhanced.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 | $0.00023 | $0.03822 |
| Opus 5 | $0.00012 | $0.01911 |
| Sonnet 5 | $0.00005 | $0.00764 |
| Haiku 4.5 | $0.00002 | $0.00382 |
Grade A, and why
document-gen-resilient-workflow 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 6d 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 — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resilient Document Generation Workflow
When to Use
Use this skill when document generation tasks encounter tool errors or failures, especially:
run_shellcommands return 'unknown error' without diagnostic details- PDF generation fails with LaTeX encoding or missing engine errors
- You need fallback options when primary conversion methods fail
- Workspace or path issues cause file access problems
- Unicode/special characters cause rendering issues in PDF output
shell_agenthas failed multiple times on similar tasks
Core Technique
Split document generation into observable, verifiable steps with explicit error capture and progressive fallback:
- Validate workspace → Confirm current directory and write permissions
- Pre-flight checks → Verify required tools (pandoc, LaTeX engines) are available
- Content creation → Use
write_filefor source Markdown with full visibility - Unicode sanitization → Preprocess for PDF conversion when needed
- Progressive conversion → Try multiple engines/methods until one succeeds
- Explicit error capture → Redirect stderr to diagnose failures
- Verification → Confirm output files exist and are readable
⚠️ Critical: Tool Error Patterns
'unknown error' from run_shell: This typically indicates:
- Sandbox execution context issues (not the command itself)
- Missing stderr capture preventing diagnosis
- Transient file access problems
Solution: Use explicit error capture with 2>&1 and verify tool availability first:
run_shell
command: pandoc --version 2>&1 || echo "PANDOC NOT AVAILABLE"
Pre-Flight Checklist
Before starting conversion, verify your environment:
## Pre-Flight Checks
### Check 1: Verify working directory
run_shell
command: pwd && ls -la
### Check 2: Verify pandoc availability
run_shell
command: pandoc --version 2>&1 | head -3 || echo "PANDOC MISSING"
### Check 3: Check LaTeX engines
run_shell
command: which pdflatex xelatex wkhtmltopdf 2>&1 || echo "Some engines missing"
### Check 4: Check Python libraries (fallback option)
run_shell
command: python3 -c "import fpdf; print('fpdf OK')" 2>&1 || echo "fpdf missing"
run_shell
command: python3 -c "import docx; print('python-docx OK')" 2>&1 || echo "python-docx missing"
What ships with it
2 files 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.
- 6d ago First seen · 503 lines · 23 tokens per session scan A cadbfe980b6b
document-gen-resilient-workflow is a skill published in the GitHub repository HKUDS/OpenSpace (7,510 stars, last pushed 24d ago), licensed MIT. It adds 23 tokens to every session and 3,822 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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