galileo-platform-setup

galileo-platform-setup is an LLM evaluation & observability skill for AI agents, published by chambear2809 in the splunk-cisco-skills repository on GitHub. Skillspace rates galileo-platform-setup D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Render, validate, and optionally apply Galileo platform readiness, object lifecycle, Observe export/runtime, Evaluate, Luna, Controls, multimodal, and Splunk wiring for Galileo SaaS or Enterprise deployments. Covers projects, log streams, datasets, prompts, experiments, metrics, annotations, feedback, RBAC, provider handoffs, trace maintenance/metrics APIs, Luna Studio training, metadata-only media export, AI Assistant beta readiness, global dashboards, generic alert webhook relay, SDK experiment groups, large-dataset batching, HEC/OTLP/OTel handoffs, dashboards, and detectors. Use when configuring Galileo-to-Splunk Platform or Splunk Observability Cloud setup, including multimodal traces and multi-model experiment comparison evidence.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
31

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.

View source on GitHubchambear2809/splunk-cisco-skills

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
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

  • 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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