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-checklist-workflow-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/pdf-checklist-workflow-enhanced)<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-checklist-workflow-enhanced"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-checklist-workflow-enhanced.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 373 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00026 | $0.03846 |
| Opus 5 | $0.00013 | $0.01923 |
| Sonnet 5 | $0.00005 | $0.00769 |
| Haiku 4.5 | $0.00003 | $0.00385 |
Grade A, and why
unified-deliverables-flow 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 — 423 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unified Multi-Deliverable Generation Workflow
This skill provides a structured, phased approach for creating multiple deliverable types (spreadsheets, diagrams, PDF reports) in a single cohesive workflow with explicit iteration budgeting to prevent premature exhaustion.
Overview
Use this workflow when you need to:
- Generate multiple deliverable types (Excel, images, PDFs) in one task
- Ensure balanced iteration allocation across all deliverables
- Handle tool failures gracefully with retries and fallbacks
- Produce downloadable artifacts with verified paths
Critical: Iteration Budget Allocation
Allocate iterations BEFORE starting work:
| Phase | Deliverable | Budget | Checkpoint |
|---|---|---|---|
| Phase 1 | Spreadsheet | 8 iterations | File exists + readable |
| Phase 2 | Diagram | 8 iterations | File exists + >1KB |
| Phase 3 | PDF Report | 8 iterations | File exists + ARTIFACT_PATH output |
| Buffer | Error recovery | 6 iterations | Remaining for retries |
| Total | All deliverables | 30 iterations | All verified |
Rules:
- Complete each phase before moving to the next
- If a phase exceeds budget, use fallback strategy (see below)
- Never spend >10 iterations on a single deliverable without checkpoint
- Verify each deliverable before proceeding
Step-by-Step Instructions
Phase 0: Pre-Work Setup (1 iteration max)
-
Define all deliverables explicitly:
Deliverable 1: hardware_selection_table.xlsx (Excel with comparison data) Deliverable 2: cnc_workcell_layout.png (PNG diagram of layout) Deliverable 3: final_report.pdf (PDF summary report) -
Verify workspace is accessible:
run_shell command: ls -la /workspace/ && mkdir -p /workspace/artifacts -
Set path variables for consistency:
- All files go to
/workspace/or/workspace/artifacts/ - Use absolute paths in all code
- Never use relative paths like
./output.xlsx
- All files go to
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 · 423 lines · 26 tokens per session scan A affdd1316e9a
unified-deliverables-flow is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 26d ago), licensed MIT. It adds 26 tokens to every session and 3,846 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.
Other skills, from other repositories
doc-reader
Read any common document/data file — PDF, Word (.docx), Excel (.xlsx/.xls), PowerPoint (.pptx), images (OCR), CSV/TSV, plain text, JSON/YAML/TOML, HTML/XML, and most source-code files. Use the readdocument tool.
markdown-converter
Markdown conversion: PDF, Office, HTML, data, OCR, audio, ZIP, YouTube.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
report-generator
A report-generation tool for producing SEO and GEO analysis reports in formats such as Markdown, HTML, PDF, JSON, and Excel. It also supports charts, templates, data processing, and interactive report elements.
smart-data-collection
A workflow for extracting structured information from images and documents such as PDFs, Word files, and spreadsheets, then storing it in a database.
meta-multi-format-export-pack
From one piece of source content, render four deliverables: .docx report, .pptx slides, .xlsx data, and an HTML/PDF public version.