image-to-editable-pptx-v2: what it is & alternatives

by Kevinyyy1 · Codex Skill · ★ 5

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is image-to-editable-pptx-v2 safe to install? View the security audit →

About image-to-editable-pptx-v2

A Codex skill for reconstructing slide images as high-fidelity, native-editable PowerPoint files with scene decomposition and script-first QA.

Security audit verdict: SAFE · quality 66/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

Quick Facts

Stars5
Forks1
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score65.5988954839537/100
Last Updated2026-07-26
Created2026-07-26
Platformscodex, python
Est. Tokens~15k

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Frequently Asked Questions

What is image-to-editable-pptx-v2?

image-to-editable-pptx-v2 is A Codex skill for reconstructing slide images as high-fidelity, native-editable PowerPoint files with scene decomposition and script-first QA.. It is categorized as a Codex Skill with 5 GitHub stars.

What programming language is image-to-editable-pptx-v2 written in?

image-to-editable-pptx-v2 is primarily written in Python.

How do I install or use image-to-editable-pptx-v2?

You can find installation instructions and usage details in the image-to-editable-pptx-v2 GitHub repository at github.com/Kevinyyy1/image-to-editable-pptx-v2. The project has 5 stars and 1 forks, indicating an active community.

What license does image-to-editable-pptx-v2 use?

image-to-editable-pptx-v2 is released under the MIT license, making it free to use and modify according to the license terms.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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