model-experiment
model-experiment is a Model training & evaluation skill for AI agents, published by andrewleech in the qwen3-asr-onnx repository on GitHub. Skillspace rates model-experiment C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Run structured model optimization experiments for Qwen3-ASR ONNX. Use when testing quantization variants, encoder formats, weight sharing, or other model changes that need WER/RTF measurement. Triggered by requests to "run an experiment", "test a variant", "try quantizing", "measure WER", or any model optimization trial in the qwen3-asr-onnx repo.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 35
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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