Parse Kubernetes runbooks into executable decision trees for automated execution.
npx skills add https://github.com/mvilrokx/runegard --skill runegard
Please help me install this Agent Skill. Skill: runegard Source: https://github.com/mvilrokx/runegard/tree/main Command: npx skills add https://github.com/mvilrokx/runegard --skill runegard
Automates the parsing of Kubernetes runbooks and their step-by-step execution on live clusters.
Run a runbook by providing its path to let RuneGard parse, build a decision tree, and execute it against your Kubernetes cluster (dry-run option available).
High-intent search queries and answers about installing and using this skill.
Automating Kubernetes runbook execution involves parsing Markdown procedures into executable decision trees. RuneGard converts these runbooks into deterministic plans for automated diagnosis and remediation against live clusters. It supports Markdown and other formats with a dry-run option.
Kubernetes runbooks learn from past failures through a continual learning loop that analyzes execution traces. RuneGard uses an RLM improvement loop to patch the skill after analyzing failures, ensuring automated runbook execution improves for future runs.
Executing remediation steps with human approval gates is supported by RuneGard. It applies an approval gate before any mutation steps, enabling safe execution of diagnostic and remediation actions on your live Kubernetes cluster.
A Claude-compatible parser is required to automate Kubernetes runbooks with RuneGard. The execution engine uses this parser alongside a defined step taxonomy to build deterministic decision trees and execute runbooks against live clusters.
The best way to parse Markdown runbooks into executable operations is using a parser that converts procedures into deterministic execution plans. RuneGard builds a decision tree from Markdown runbooks to automate diagnosis, remediation, verification, and escalation.
Automated runbook execution supports dry-run verification before applying changes. RuneGard allows you to run a runbook by providing its path to parse and build a decision tree, testing it against your Kubernetes cluster with a dry-run option before mutations.
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