by GML-MMGroup · Agent Tool · ★ 143
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/GML-MMGroup/ClipTalk.git
Taken from the project's README on GitHub.
Flagged: sudo usage. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 143 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 60/100 |
| Last Updated | 2026-10-10 |
| Created | 2026-07-06 |
| Platforms | cli, python |
| Est. Tokens | ~15k |
ClipTalk ✂️ An AI Agent That Edits Videos Through Conversation Just say it. It's edited. English · 简体中文 📰 News [2026-09-11] 🛠️ Added guided local setup, a standalone Agent service, and Docker Compose deployment. [2026-09-10] 🎤 Integrated TalkNet active-speaker detection to distinguish speaking from visual presence, with automatic CPU/GPU selection and explicit fallback notices.
These tools work well together with ClipTalk for enhanced workflows:
Looking for a ClipTalk alternative? If you're comparing ClipTalk with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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, C
Best Motion graphics and video editing skill for Claude Code, Codex and Cursor. Plan, animate, edit, caption a
An introduction to the world of AI Agents
🚀 JoySafeter: An enterprise AI Agent Platform—Not just chatting. building、running、testing, and tracing autono
The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.
OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templ
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: