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 ppt-workflow-location-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/ppt-workflow-location-enhanced)<a href="https://agentmods.dev/skills/hkuds/openspace/ppt-workflow-location-enhanced"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/ppt-workflow-location-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 | $0.02363 |
| Opus 5 | $0.00012 | $0.01182 |
| Sonnet 5 | $0.00005 | $0.00473 |
| Haiku 4.5 | $0.00002 | $0.00236 |
Grade A, and why
ppt-generation-resilient 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 3d 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 — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resilient PowerPoint Generation Workflow
When to Use This Skill
Use this workflow when:
- You need to create PowerPoint presentations programmatically
- shell_agent may fail or produce opaque error messages
- You need robust error handling and debugging capabilities
- Output files may be created in unexpected nested directories
Overview
This workflow provides two paths:
- Primary: Use shell_agent with clear specifications (preferred for simple presentations)
- Fallback: Direct Python execution with python-pptx library (for complex or failed shell_agent attempts)
Both paths include automatic error capture and file location verification.
Path 1: shell_agent (Primary)
Step 1.1: Delegate with Clear Specifications
Use shell_agent to create a PowerPoint presentation with:
- Specify exact number of slides needed
- Define content/topic for each slide
- Request file saved with clear filename (e.g., presentation.pptx)
- Ask agent to confirm the full file path after creation
- Request agent report any errors with full output
Example task description:
Create a PowerPoint presentation with 10 slides covering [topic]. Each slide should have a title and bullet points. Save it as presentation.pptx in the current working directory and report the full file path. If you encounter any errors, show the complete error message.
Step 1.2: Verify shell_agent Success
Check if shell_agent completed successfully:
- Did it report a file path?
- Can you access the file at that path?
- Is the file size > 0 bytes?
If any check fails, proceed to Path 2 (Fallback).
Path 2: Direct Python with python-pptx (Fallback)
Step 2.1: Create Python Script File
First, write the PowerPoint generation script to a .py file (do NOT use inline execution):
# save as: generate_presentation.py
from pptx import Presentation
from pptx.util import Inches, Pt
import os
# CRITICAL: Explicitly set and verify working directory
working_dir = os.getcwd()
print(f"Working directory: {working_dir}")
# Create presentation
prs = Presentation()
# Example: Add slides with content
slides_content = [
{"title": "Slide 1 Title", "content": ["Bullet 1", "Bullet 2"]},
{"title": "Slide 2 Title", "content": ["Point A", "Point B", "Point C"]},
# Add more slides as needed
]
for slide_data in slides_content:
slide_layout = prs.slide_layouts[1] # Title and Content layout
slide = prs.slides.add_slide(slide_layout)
# Set title
title = slide.shapes.title
title.text = slide_data["title"]
# Set content
content = slide.placeholders[1]
tf = content.text_frame
tf.clear() # Clear existing content
for i, point in enumerate(slide_data["content"]):
if i == 0:
p = tf.paragraphs[0]
else:
p = tf.add_paragraph()
p.text = point
p.font.size = Pt(18)
# Save to current working directory with explicit path
output_filename = "presentation.pptx"
output_path = os.path.join(working_dir, output_filename)
prs.save(output_path)
print(f"Presentation saved to: {output_path}")
print(f"File exists: {os.path.exists(output_path)}")
print(f"File size: {os.path.getsize(output_path)} bytes")
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.
- 3d ago First seen · 342 lines · 23 tokens per session scan A 235d843f7f43
ppt-generation-resilient is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 23 tokens to every session and 2,363 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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