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-generationgit 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-generation)<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-checklist-generation"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-checklist-generation.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 | $0.00017 | $0.00851 |
| Opus 5 | $0.00009 | $0.00426 |
| Sonnet 5 | $0.00003 | $0.00170 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
pdf-checklist-generation 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Checklist Generation
This skill provides a workflow for creating professional PDF documents (checklists, reports, scorecards) using Python libraries within an execute_code_sandbox environment.
When to Use
- Need to generate downloadable PDF reports or checklists
- Require structured documents with tables, sections, or scoring criteria
- Working in a sandbox environment without direct file system access
Available Libraries
Choose one based on your needs:
| Library | Best For | Complexity |
|---|---|---|
reportlab |
Professional layouts, tables, precise control | Medium |
fpdf |
Simple documents, quick generation | Low |
matplotlib |
Charts, graphs, visual reports | Medium |
Step-by-Step Workflow
Step 1: Install Required Library
!pip install reportlab # or fpdf, matplotlib
Step 2: Create PDF Generation Script
Example using reportlab:
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph, Spacer
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib import colors
def create_checklist_pdf(filename, checklist_items):
doc = SimpleDocTemplate(filename, pagesize=letter)
styles = getSampleStyleSheet()
elements = []
# Title
elements.append(Paragraph("Assessment Checklist", styles['Heading1']))
elements.append(Spacer(1, 12))
# Table data
data = [['Item', 'Status', 'Score']]
for item in checklist_items:
data.append([item['name'], item['status'], item['score']])
# Create table
table = Table(data)
table.setStyle(TableStyle([
('BACKGROUND', (0, 0), (-1, 0), colors.grey),
('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
('ALIGN', (0, 0), (-1, -1), 'CENTER'),
('GRID', (0, 0), (-1, -1), 1, colors.black),
]))
elements.append(table)
doc.build(elements)
print(f"PDF created: {filename}")
# Usage
checklist = [
{'name': 'Security Check', 'status': 'Pass', 'score': 10},
{'name': 'Performance Test', 'status': 'Fail', 'score': 5},
]
create_checklist_pdf('report.pdf', checklist)
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 · 123 lines · 17 tokens per session scan A 7de587c2445d
pdf-checklist-generation is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 17 tokens to every session and 851 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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