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 pptx-validation-fallbackgit 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/pptx-validation-fallback)<a href="https://agentmods.dev/skills/hkuds/openspace/pptx-validation-fallback"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pptx-validation-fallback.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 | $0.00019 | $0.00658 |
| Opus 5 | $0.00010 | $0.00329 |
| Sonnet 5 | $0.00004 | $0.00132 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
pptx-validation-fallback 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PowerPoint Validation Fallback
When to Use
Use this skill when read_file fails to properly read or validate PowerPoint (.pptx) files. This provides a reliable alternative for verifying presentation contents including slide count, titles, and structure.
Procedure
Step 1: Check if read_file Failed
If read_file with filetype pptx returns errors, incomplete content, or cannot extract slide information, proceed to the fallback method.
Step 2: Use run_shell with python-pptx
Execute Python code via run_shell using the python-pptx library to inspect the presentation:
from pptx import Presentation
# Load the presentation
prs = Presentation('path/to/file.pptx')
# Get basic info
slide_count = len(prs.slides)
print(f"Total slides: {slide_count}")
# Extract slide titles
for i, slide in enumerate(prs.slides):
if slide.shapes.title:
title = slide.shapes.title.text
print(f"Slide {i+1}: {title}")
else:
print(f"Slide {i+1}: [No title]")
Step 3: Validate Structure
Check that the presentation meets expected requirements:
from pptx import Presentation
prs = Presentation('path/to/file.pptx')
# Validation checks
expected_slides = 10 # Adjust based on requirements
actual_slides = len(prs.slides)
if actual_slides >= expected_slides:
print(f"✓ Slide count OK: {actual_slides} slides")
else:
print(f"✗ Insufficient slides: {actual_slides}/{expected_slides}")
# Check for content on each slide
for i, slide in enumerate(prs.slides):
has_title = slide.shapes.title is not None
has_content = len(slide.shapes) > 1
print(f"Slide {i+1}: title={has_title}, content={has_content}")
Step 4: Extract Detailed Content (Optional)
For deeper validation, extract text content from all shapes:
from pptx import Presentation
prs = Presentation('path/to/file.pptx')
for i, slide in enumerate(prs.slides):
print(f"\n=== Slide {i+1} ===")
for shape in slide.shapes:
if hasattr(shape, "text") and shape.text.strip():
print(shape.text)
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 · 102 lines · 19 tokens per session scan A f1a384a94214
pptx-validation-fallback is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 19 tokens to every session and 658 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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