splunk-edge-processor-setup
splunk-edge-processor-setup is an Observability & incident response skill for AI agents, published by chambear2809 in the splunk-cisco-skills repository on GitHub. Skillspace rates splunk-edge-processor-setup D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Render Cisco Data Fabric edge-routing workflows and the full Splunk Edge Processor lifecycle for Splunk Cloud Platform tenants and Splunk Enterprise 10.0+ data management control planes. Covers EP objects, TLS / mTLS, Linux or Docker instances, multi-instance scale-out, source types, destinations, SPL2 pipelines with splunk-spl2-pipeline-kit linting, apply handoffs, default destination guardrails, ACS allowlist stubs, and AI-powered data management readiness handoffs. Use when installing Edge Processor, managing EP pipelines, routing forwarders, or handling Cisco Data Fabric / telemetry pipeline management requests that need Splunk Platform edge routing and transformation.
- Grade
- D
- Quality
- 66 / 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
- 81 / 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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