qwen-audio-agent: A realtime voice runtime that keeps Agents talking, working, and present

by QwenAudio · Codex Skill · ★ 3.0k

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

How to install qwen-audio-agent

npm install -g qwen-audio-agent

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

Security audit verdict: SAFE · quality 73/100

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.

acpagentagentic-aiai-codingclaude-codecodexdeveloper-toolsopencodespeech-recognitiontext-to-speech

Quick Facts

Stars3,025
Forks308
LanguageJavaScript
CategoryCodex Skill
LicenseApache-2.0
Quality Score73/100
Open Issues15
Last Updated2026-10-26
Created2026-07-27
Platformsclaude-code, codex, node
Est. Tokens~15k

About qwen-audio-agent

Qwen Audio Agent 中文 | English Agent Presence Real conversation should not leave you waiting after a single sentence, nor should it grind to a halt just because the Agent is looking something up, calling a tool, or working on a task. Conversation should keep flowing, and the Agent should always be present.

Compatible Skills

These tools work well together with qwen-audio-agent for enhanced workflows:

  • ai — semantic(0.37)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • QuickVoice — semantic(0.33)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • customizable-gpt-chatbot — semantic(0.30)+complementary+rare_topics+similar_pop+shared_platform (55%)

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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:

View on GitHub → Browse Codex Skill tools