live2d-add-motion-sample-web-ui: Add new motions to a Live2D model by editing JSON only, without Cubism Editor, with a browser-based WebUI

by shinshin86 · Codex Skill · ★ 237

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

How to install live2d-add-motion-sample-web-ui

git clone https://github.com/shinshin86/live2d-add-motion-sample-web-ui.git

Taken from the project's README on GitHub.

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.

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.

avatarclaude-codecodexcubismface-trackinglive2dmediapipemotionobswebui

Quick Facts

Stars237
Forks16
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score65/100
Last Updated2026-11-03
Created2026-07-13
Platformsbrowser, claude-code, codex, node
Est. Tokens~23k

About live2d-add-motion-sample-web-ui

live2d-add-motion-sample-web-ui Add new motions to a Live2D model by editing JSON only — no Cubism Editor required. Comes with a browser-based WebUI. 日本語版READMEはこちら Sample model: Hiyori Momose ©Live2D (model data is NOT included in this repository) What is this? A Live2D motion file () is just JSON — a set of keyframe curves per model parameter.

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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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