by henryhyw · Codex Skill · ★ 102
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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.
| Stars | 102 |
| Forks | 2 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-16 |
| Created | 2026-09-05 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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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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: