vllm-sr-agent-operations
vllm-sr-agent-operations is an LLM evaluation & observability skill for AI agents, published by vllm-project in the semantic-router repository on GitHub. Skillspace rates vllm-sr-agent-operations D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Operate a vLLM Semantic Router directly through its CLI and HTTP contracts. Use when an agent needs to install or deploy vLLM-SR, author or change canonical YAML configuration and Recipes, validate and plan changes, test routing with preview and real end-to-end requests, run the Intelligence 1.0 benchmark suite, analyze replay evidence, or continuously optimize a physical or virtual model pool. Dashboard is never required.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 5,776
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
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
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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