ChatTTS: A generative speech model for daily dialogue

by 2noise · Agent Tool · ★ 39.9k

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

How to install ChatTTS

git clone https://github.com/2noise/ChatTTS
pip install ChatTTS

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

Security audit verdict: SAFE · quality 70/100

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.

agentchatchatgptchatttschinesechinese-languageenglishenglish-languagegptllm

Quick Facts

Stars39,856
Forks4,260
LanguagePython
CategoryAgent Tool
LicenseAGPL-3.0
Quality Score70/100
Open Issues60
Last Updated2026-04-10
Created2024-05-27
Platformspython
Est. Tokens~701k

About ChatTTS

ChatTTS A generative speech model for daily dialogue. English 한국어 Introduction [!Note] This repo contains the algorithm infrastructure and some simple examples. [!Tip] For the extended end-user products, please refer to the index repo [Awesome-ChatTTS](https://github.com/libukai/Awesome

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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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