Generate Splunk Observability Cloud detector Terraform from otel-audit reports.
npx skills add https://github.com/signalfx/obstudio --skill splunk-configure
Please help me install this Agent Skill. Skill: splunk-configure Source: https://github.com/signalfx/obstudio/tree/main/skills/splunk-configure Command: npx skills add https://github.com/signalfx/obstudio --skill splunk-configure
This Skill converts an existing otel-audit report into ready-to-apply Splunk Observability Cloud detector Terraform, so you can move from “what’s missing” to “what should alert” faster.
.observe/terraform/detectors.tf with signalfx_detector resources and inline SignalFlow program_text..observe/terraform/variables.tf, .observe/terraform/terraform.tfvars.example, and a human-readable .observe/detectors.md explaining decisions and skips..observe/otel.md is missing or if the audit report contains no detected metrics.Run cp to copy the generated .observe/terraform/terraform.tfvars.example to .observe/terraform/terraform.tfvars, fill in realm, api_token, and notification_channel, then apply the Terraform in .observe/terraform.
High-intent search queries and answers about installing and using this skill.
To generate Splunk Observability Cloud detectors, the Skill reads your existing otel-audit report, classifies latency, error, throughput, and saturation metrics, and emits Terraform HCL files with inline SignalFlow into the .observe/terraform directory.
Creating Terraform for Splunk detectors is handled by mapping audited metrics into detector categories, producing a detectors.tf file with signalfx_detector resources and inline SignalFlow program_text, alongside supporting variables.tf and tfvars.example files.
Yes, you need an otel-audit report and a .observe/otel.md file to generate Splunk detector Terraform. The Skill stops early with clear guidance if the otel.md file is missing or if the audit report contains no detected metrics.
Metric classification for Splunk detectors works by categorizing latency, error, throughput, and saturation signals from the audit report into appropriate monitoring approaches, then generating corresponding SignalFlow programs and Terraform resources.
Converting audit findings to Splunk detectors generates detectors.tf with signalfx_detector resources, variables.tf, terraform.tfvars.example in the .observe/terraform directory, and a companion detectors.md report explaining decisions and skips.
Splunk detector Terraform generation stops early if the .observe/otel.md file is missing from the repository or if the otel-audit report contains no detected metrics, providing clear guidance on what is required to proceed.
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