qwen-asr

qwen-asr is an NLP, speech & audio ML skill for AI agents, published by huanglizhuo in the QwenASR repository on GitHub. Skillspace rates qwen-asr D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Local speech-to-text using Qwen3-ASR (CPU-only, no API key, no cloud). Use when: (1) a voice message or audio file needs transcription, (2) user asks to transcribe audio, (3) speech-to-text is needed. Supports offline, segmented, and streaming modes. macOS and Linux only.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
43

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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