digital-human-koubo: AI digital-human talking-head videos from one photo: Renoise MCP generation + 5 editing styles + 48

by andyhuo520 · MCP Server · ★ 483

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

How to install digital-human-koubo

git clone https://github.com/andyhuo520/digital-human-koubo.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

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.

Quick Facts

Stars483
Forks133
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score65/100
Last Updated2026-10-26
Created2026-10-26
Platformsclaude-code, codex, mcp, node
Est. Tokens~20k

About digital-human-koubo

Digital Human Koubo · AI 数字人口播 One photo + one sentence → a finished talking-head video with a digital human. Script, lip-synced AI presenter, voice clean-up, captions, and pro-YouTuber-style packaging — fully automated by your AI agent. English · 简体中文 This 27-second livestream ad has no real presenter. Face, voice, studio, captions and the price animation are all AI.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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:

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