splunk-observability-cisco-ai-pod-integration
splunk-observability-cisco-ai-pod-integration is an Observability & incident response skill for AI agents, published by chambear2809 in the splunk-cisco-skills repository on GitHub. Skillspace rates splunk-observability-cisco-ai-pod-integration D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Compose Cisco Nexus, Cisco Intersight, and NVIDIA GPU Observability skills into a Cisco AI Pod overlay, then add NIM, vLLM, Milvus, NetApp Trident, Pure Portworx, Redfish exporter, OpenShift SCC, workshop tenancy, RBAC, receiver naming, DCGM discovery, dual-pipeline filtering, NIM model-name extraction, and existing-collector cleanup patterns. Use when deploying Splunk Observability Cloud for a Cisco AI Pod with UCS, Nexus, NVIDIA GPUs, NIM/vLLM inference, and storage telemetry. Hand off base collector, HEC, dashboards, and detectors to the owning skills.
- Grade
- D
- Quality
- 65 / 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.
Our review
- Architecture
- 78 / 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.