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 →
by Cassette-Editor · MCP Server · ★ 131
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is oh-my-cassette safe to install? View the security audit →
Oh My Cassette: Pocket AI Co-editor for Video Montage <img src="https://img.shields.io/badge/Cassette-Compatible-
| Stars | 131 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.016754978139/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-03 |
| Created | 2026-06-10 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~25k |
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oh-my-cassette is 你的随身 AI 剪辑搭档 | Pocket AI co-editor for video montage — AI video editing plugin & MCP server for Claude Code, Codex, Hermes & OpenCode. It is categorized as a MCP Server with 131 GitHub stars.
oh-my-cassette is primarily written in Python. It covers topics such as agent, agent-skills, ai-agent.
You can find installation instructions and usage details in the oh-my-cassette GitHub repository at github.com/Cassette-Editor/oh-my-cassette. The project has 131 stars and 2 forks, indicating an active community.
oh-my-cassette is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oh-my-cassette on Agent Skills Hub include Adobe_Premiere_Pro_MCP, mcp-video, Overture. 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.
Sources & who's responsible: