aqua-metrics

aqua-metrics is an Observability & incident response skill for AI agents, published by oracle in the accelerated-data-science repository on GitHub. Skillspace rates aqua-metrics D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI. Covers the signing proxy, container registry setup, OCI Container Instance deployment, and PromQL dashboards. Triggered when user wants to monitor LLM deployments, view TTFT/latency/throughput metrics, or set up observability for AQUA.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
125

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHuboracle/accelerated-data-science

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
UPL-1.0
Adoption
Adopted by 0 other repositories, in 0 collections

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
  • 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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