ClipTalk — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by GML-MMGroup · Agent Tool · ★ 128

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About ClipTalk

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. [2026-09-09] 🎨 Redesigned the landscape and portrait editing workspaces, improving preview layouts, timeline space usage, and light/dark theme support across aspect ratios. [2026-09-08] 🤖 Added a reviewable conversational editing Agent that presents its editing plan before executing controlled tools and delivering previewable, revisable versions. [2026-08-28] 🎬 Upgraded the multimodal editing workspace with reusable content-search results, person/speaker workflows, voiceprint-based clipping, and an editable fine-cut timeline; also streamlined CPU/GPU deployment. [2026-08-20] 🎯 Added Face-Matched Editing and Topic-Based Editing, enabling target-person retrieval and topic-driven clip extraction. [2026-08-12] 🚀 Optimized the timeline display and added support for switching to vertical creation mode.

agentagent-skillsagentic-aiagentsai-videoai-video-clippingai-video-editingai-video-editorcapcutpro-freechatcut

Quick Facts

Stars128
Forks9
LanguagePython
CategoryAgent Tool
Quality Score60.161119651232/100
Last Updated2026-09-24
Created2026-07-06
Platformscli, python
Est. Tokens~15k

Compatible Skills

These tools work well together with ClipTalk for enhanced workflows:

  • oh-my-cassette — semantic(0.63)+complementary+rare_topics+same_lang+similar_pop+shared_platform (76%)
  • HappyHorse-1.0-API — semantic(0.61)+complementary+same_lang+similar_pop+shared_platform (71%)

ClipTalk alternative? Top 6 similar tools

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.

  • oh-my-cassette by Cassette-Editor · ⭐ 131

    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

  • JoySafeter by jd-opensource · ⭐ 300

    🚀 JoySafeter: An enterprise AI Agent Platform—Not just chatting. building、running、testing, and tracing autono

  • oreilly-ai-agents by sinanuozdemir · ⭐ 299

    An introduction to the world of AI Agents

  • n8n-claw by freddy-schuetz · ⭐ 550

    OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templ

  • pgmcp by subnetmarco · ⭐ 542

    An MCP server to query any Postgres database in natural language.

  • concierge by concierge-hq · ⭐ 531

    🚀 Universal SDK for building next-gen MCP servers

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Frequently Asked Questions

What is ClipTalk?

ClipTalk is ClipTalk —— 通过对话完成视频剪辑的 AI Agent。说句话,片子就剪好了。ClipTalk — An AI agent that edits videos through conversation. Just say it, it's edited.. It is categorized as a Agent Tool with 128 GitHub stars.

What programming language is ClipTalk written in?

ClipTalk is primarily written in Python. It covers topics such as agent, agent-skills, agentic-ai.

How do I install or use ClipTalk?

You can find installation instructions and usage details in the ClipTalk GitHub repository at github.com/GML-MMGroup/ClipTalk. The project has 128 stars and 9 forks, indicating an active community.

What are the best alternatives to ClipTalk?

The top alternatives to ClipTalk on Agent Skills Hub include oh-my-cassette, JoySafeter, oreilly-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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