run-network-benchmark
run-network-benchmark is an Observability & incident response skill for AI agents, published by starkware-libs in the sequencer repository on GitHub. Skillspace rates run-network-benchmark D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Run the apollo_network_benchmark P2P stress test end-to-end — gather parameters, start a local Docker or GKE cluster deployment, monitor it via Prometheus/Grafana, and summarize latency/throughput/delivery results. Use when the user says 'run the network benchmark', 'network stress test', 'apollo_network_benchmark', 'p2p benchmark', or wants to benchmark gossipsub/sqmr broadcasting.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 73
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
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- 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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