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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/HKUDS/OpenSpacenpx agentmods add skills/hkuds/openspace/ppt-workflow-location-enhanced-877e03Wrote 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-877e03)<a href="https://agentmods.dev/skills/hkuds/openspace/ppt-workflow-location-enhanced-877e03"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/ppt-workflow-location-enhanced-877e03/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/ppt-workflow-location-enhanced-877e03"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/ppt-workflow-location-enhanced-877e03.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 | $0.00031 | $0.02168 |
| Opus 5 | $0.00015 | $0.01084 |
| Sonnet 5 | $0.00006 | $0.00434 |
| Haiku 4.5 | $0.00003 | $0.00217 |
Grade A, and why
ppt-generation-resilient scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resilient PowerPoint Generation Workflow
When to Use This Skill
Use this workflow when:
- You need to create PowerPoint presentations with specific slide content and structure
- Direct document generation tools fail or are unavailable
- shell_agent encounters opaque errors during PowerPoint generation
- Output files may be created in unexpected nested directories within the workspace
Overview
This workflow provides a resilient approach with two tiers:
- Primary: shell_agent delegation with clear specifications
- Fallback: Direct Python execution using python-pptx library with proper error capture
Step 0: Verify Working Directory
Before starting, establish your working directory context:
# Capture current working directory
pwd
# Store for later reference
WORK_DIR=$(pwd)
echo "Working directory: $WORK_DIR"
Step 1: Attempt PowerPoint Generation via shell_agent (Primary)
Delegate the PowerPoint creation task to shell_agent with explicit specifications:
Use shell_agent to create a PowerPoint presentation with:
- Specify the exact number of slides needed
- Define the content/topic for each slide
- Request the file be saved with a clear filename (e.g., presentation.pptx)
- Ask the agent to confirm the file path after creation using: echo "FILE_PATH: $(pwd)/presentation.pptx"
- Request that any errors be printed to stderr with full tracebacks
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. After creation, run: echo "FILE_PATH: $(pwd)/presentation.pptx" and report any errors with full tracebacks.
Wait for shell_agent response. If successful with file path confirmed, proceed to Step 4. If shell_agent fails or returns opaque errors, proceed to Step 2.
Step 2: Fallback to Direct Python Execution with python-pptx
When shell_agent fails, create and execute a Python script directly:
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.
- 6d ago First seen · 271 lines · 31 tokens per session scan A c657974da280
ppt-generation-resilient is a skill published in the GitHub repository HKUDS/OpenSpace (7,552 stars, last pushed 28d ago), licensed MIT. It adds 31 tokens to every session and 2,168 once invoked, about $0.0002 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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