knowledge-cat-ppt-skill: Story-first Agent Skill for creating, routing, and QA-checking PPT, HTML, and image-first presentation decks

by gnipbao · Agent Tool · ★ 87

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How to install knowledge-cat-ppt-skill

git clone https://github.com/gnipbao/knowledge-cat-ppt-skill.git ~/.codex/skills/knowledge-cat-ppt-skill
git clone https://github.com/gnipbao/knowledge-cat-ppt-skill.git ~/.claude/skills/knowledge-cat-ppt-skill

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars87
Forks14
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score69/100
Last Updated2026-06-28
Created2026-05-24
Platformspython
Est. Tokens~16k

About knowledge-cat-ppt-skill

Knowledge Cat PPT Skill Story-first presentation production for AI agents. English Bilingual Knowledge Cat PPT is an open-source Agent Skill for creating, reviewing, and repairing presentation decks. It is designed for Codex, Claude Code, and other skill-aware coding agents.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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