caveman-evidence-review

Editorial and source context

What this Skill does

Caveman Evidence Review is a source-indexed Agent Skill for cloud, devops & infrastructure work. Based on the SKILL.md description, it focuses on read-only review of caveman cloud evidence: cost, cave score, workflows, traces, latency, errors,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Read-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings. Use when asked what Caveman found or where LLM spend goes.

Compatibility and requirements

• Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
• Confirm the source repository's tools, SDKs, and platform prerequisites for cloud deployment work.

How to install or import it

• Open the linked GitHub SKILL.md and review its scope and setup instructions.
• Install or import the skill using the agent runtime's documented workflow.
• Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

• Review every command, file path, network request, dependency, and credential scope before enabling it.
• GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

• Ask an AI agent to apply Caveman Evidence Review to cloud deployment work described in the source record.
• Have the agent state assumptions, required tools, and expected output before using this cloud, devops & infrastructure skill.
• Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.