by mpuig · Agent Tool · ★ 15
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-slides safe to install? View the security audit →
Agent skill for generating professional PowerPoint decks. 7 composable skills and a purpose-built CLI.
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 →
| Stars | 15 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74.1006762462074/100 |
| Last Updated | 2026-03-15 |
| Created | 2026-03-08 |
| Platforms | cli, python |
| Est. Tokens | ~14k |
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agent-slides is Agent skill for generating professional PowerPoint decks. 7 composable skills and a purpose-built CLI.. It is categorized as a Agent Tool with 15 GitHub stars.
agent-slides is primarily written in Python. It covers topics such as code-agents, harness-engineering, powerpoint-generation.
You can find installation instructions and usage details in the agent-slides GitHub repository at github.com/mpuig/agent-slides. The project has 15 stars and 2 forks, indicating an active community.
agent-slides is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-slides on Agent Skills Hub include mcpick, claude-capsule-kit, OmoiOS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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.
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