dynamo-frontend-benchmark
dynamo-frontend-benchmark is an MLOps & model serving skill for AI agents, published by ai-dynamo in the dynamo repository on GitHub. Skillspace rates dynamo-frontend-benchmark C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Benchmark and profile the Dynamo frontend (dynamo.frontend HTTP + tokenizer + KV router) against mock workers (dynamo.mocker). Use when measuring frontend throughput/latency, A/B-testing a frontend change, or on-CPU/off-CPU profiling the frontend or mock workers to find bottlenecks. Covers topology setup, CPU isolation, aiperf load generation, perf/BPF profiling, throughput analysis, and the sharp edges of this setup.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 7,497
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Profiles Dynamo's own frontend internals; needs the repo checkout
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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