Ansible Runbook Executor
Ansible Runbook Executor
Executes Ansible playbooks for server diagnostics and remediation using ansible-runner Python SDK. Supports inventory parsing, vault-encrypted credentials, and real-time task output streaming.
Overview
The Ansible Runbook Executor agent leverages the ansible-runner Python SDK to execute diagnostic and remediation playbooks on remote infrastructure. It parses YAML-based inventory files, resolves host groups, and manages vault-encrypted secrets for secure credential handling during execution.
Designed for incident response, the agent can run pre-defined runbooks for common scenarios: disk space cleanup, service restarts, log collection, certificate rotation, and DNS resolution checks. Each playbook execution produces structured JSON output with per-host task results, return codes, and stdout/stderr capture.
The agent streams real-time task output via ansible-runner event handlers, enabling live progress tracking during long-running operations. It supports check mode (dry-run) for validation before applying changes, and integrates with Ansible Galaxy for pulling community roles. Tags and limits can be applied dynamically to scope execution to specific hosts or task subsets.
Installation
Any Agent
npx skills add agentskillexchange/skills --skill ansible-runbook-executor
More from agentskillexchange/skills
your skill name
A clear description of what this skill does and when to use it. Reference specific APIs, tools, or techniques.
23playwright visual regression tester
Automates visual regression testing using the Playwright screenshot comparison API and pixelmatch diffing library. Captures baseline snapshots, detects pixel-level UI changes across viewport sizes, and generates HTML diff reports with threshold-based pass/fail results.
2playwright visual regression suite
Automated visual regression testing using Playwright’s screenshot comparison API (page.screenshot with maxDiffPixelRatio) and toMatchSnapshot assertions. Supports cross-browser testing on Chromium, Firefox, and WebKit.
2stripe payments connector
Full Stripe API integration using the stripe-node SDK. Creates PaymentIntents via stripe.paymentIntents.create(), manages Customers and Subscriptions, handles webhook events through stripe.webhooks.constructEvent(), and supports Stripe Connect for marketplace payouts.
2grafana loki log query agent
Queries Grafana Loki log aggregation system using LogQL via the Loki HTTP API. Filters log streams by labels, parses structured JSON logs, and correlates log entries with Grafana dashboard panels.
2great expectations data validation pipeline
Validate data quality using the Great Expectations Python library. Define expectations as unit tests for your data, run validation suites, and generate human-readable data quality reports.
1