galileo-lemonade-instrumentation-setup
galileo-lemonade-instrumentation-setup is an LLM evaluation & observability skill for AI agents, published by chambear2809 in the splunk-cisco-skills repository on GitHub. Skillspace rates galileo-lemonade-instrumentation-setup C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Use when adding Galileo OTLP fan-out to a Lemonade collector, capturing agent/workflow/tool traces around Lemonade, avoiding duplicate LLM records, or validating privacy-safe Galileo ingestion from an AMD Ryzen AI host. Instrument Lemonade Server inference and OpenAI-compatible calling applications for Galileo Observe while preserving Splunk OpenTelemetry delivery, privacy policy, rollback, and end-to-end readback.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 31
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.
Our review
- Architecture
- 94 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.