slidepoise: Open-source agentic slide generation with free-form visual design and editable PowerPoint output

by henryhyw · Codex Skill · ★ 102

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

How to install slidepoise

npx github:henryhyw/slidepoise console
npx github:henryhyw/slidepoise setup

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

Security audit verdict: SAFE · quality 67/100

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.

codeximage-generationopencvpowerpointpptxgenjspresentations

Quick Facts

Stars102
Forks2
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues1
Last Updated2026-10-16
Created2026-09-05
Platformscodex, python
Est. Tokens~15k

About slidepoise

SlidePoise Open-source agentic slide generation Create editable PowerPoint presentations with an AI Agent. SlidePoise uses image generation to explore compositions beyond fixed templates, then rebuilds the chosen designs as editable text, charts, tables and shapes. You can develop a single slide or a complete deck through conversation.

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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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