arle-upstream-runtime-scan
arle-upstream-runtime-scan is an LLM evaluation & observability skill for AI agents, published by cklxx in the arle repository on GitHub. Skillspace rates arle-upstream-runtime-scan D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when ckl asks to ground an ARLE serving/runtime, model-path, benchmark, capacity, Qwen3.5/DeepSeek, scheduler, paged_kv, MLX, autograd, or OPD decision in upstream SGLang/vLLM/TensorRT-LLM evidence before changing local code. It distills BBuf AI-Infra Auto Driven SKILLS into an ARLE-specific source-survey workflow without symlinking or vendoring those repositories.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 91 / 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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