Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by nmbrthirteen · MCP Server · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is podcli safe to install? View the security audit →
Open-source AI podcast clipper. Generate vertical clips with face tracking and burned-in captions. CLI, MCP server, and web app. podcli.com · Quick start · MCP · Features ▶ Watch with sound on X One command transcribes, picks the best moments, crops to the face, and burns captions in. Nothing leaves your machine. What It Does podcli takes a long-form podcast and turns it into a complete content operation: Record episode ↓ Transcribe (Whisper, speaker detection) ↓
| Stars | 60 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 69.1193866795069/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-06 |
| Created | 2026-02-26 |
| Platforms | browser, cli, mcp, python |
| Est. Tokens | ~18k |
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podcli is Open-source AI podcast clipper. Generate vertical clips with face tracking and burned-in captions. CLI, MCP server, web app.. It is categorized as a MCP Server with 60 GitHub stars.
podcli is primarily written in Python. It covers topics such as ai-tools, auto-captions, captions.
You can find installation instructions and usage details in the podcli GitHub repository at github.com/nmbrthirteen/podcli. The project has 60 stars and 9 forks, indicating an active community.
podcli is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to podcli on Agent Skills Hub include sudocode, MCP-Defender, mcp-fusion. 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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