pptx-validation-fallback

pptx-validation-fallback is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 19 tokens per session (658 once invoked), scanned A, original, MIT.

A fallback process for checking PowerPoint files with Python when standard file-reading tools cannot provide reliable information.

In plain words
What is it for?
It is for validating the basic contents and structure of a .pptx presentation.
Why use it?
It provides another way to inspect slide counts, titles, and structure when normal extraction fails.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for validating the basic contents and structure of a .pptx presentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/openspace/pptx-validation-fallback
About the project

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.

HKUDS/OpenSpace · 7,534 stars · on GitHub

Install

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.

Any agent
npx skills add HKUDS/OpenSpace --skill pptx-validation-fallback
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for pptx-validation-fallback

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pptx-validation-fallback.svg)](https://agentmods.dev/skills/hkuds/openspace/pptx-validation-fallback)
Your own site
<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>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 658 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 3d ago against content hash f1a384a94214, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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.

benchmarks/gdpval/skills/pptx-validation-fallback/SKILL.md · 102 lines

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)

Read the full file on GitHub · 102 lines

Files

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.

Changes

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.

  1. 3d ago First seen · 102 lines · 19 tokens per session scan A f1a384a94214

Subscribe to this mod's changes

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.

Related

Other skills, from other repositories

orbit-notion

Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…

nexu-io/open-design · 117 tokens

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

baoyu-youtube-transcript

A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.

JimLiu/baoyu-skills · 107 tokens

feishu

Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.

Hmbown/CodeWhale · 33 tokens

read

Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…

tw93/Waza · 78 tokens

overleaf-sync

A two-way connection between a local paper folder and Overleaf, a web-based LaTeX editor for writing research papers. It lets you move changes between the local files and the shared Overleaf project.

wanshuiyin/Auto-claude-code-research-in-sleep · 97 tokens