test-model
test-model is an MLOps & model serving skill for AI agents, published by guoqingbao in the xinfer repository on GitHub. Skillspace rates test-model F (53/100) and it passed the safety scan; the rating is based on static analysis only.
Test LLM models served by xinfer for correctness, output quality, and performance. Use when the user asks to test, benchmark, validate, or verify models — either from a local folder path or HuggingFace model IDs. Supports all xinfer-compatible formats: BF16, FP8, MXFP4, NVFP4, GGUF, GPTQ, AWQ, ISQ, Dense, MoE, and Multimodal architectures.
- Grade
- F
- Quality
- 53 / 100
- Safety
- Passed
- GitHub stars
- 292
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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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