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homelab/.github/prompts/local-eval.prompt.md
nathan 016d38d5ab feat(prompts): add Docker service lifecycle and session management workflows 
- Add service management prompts (review, standardize, troubleshoot, integration)
- Add Docker Swarm migration and tutoring workflows (swarm-migration, swarm-tutor)
- Add SSO onboarding guide for Authentik integration (sso-onboarding)
- Add session lifecycle prompts (start, end, status) for context continuity
- Add node bootstrap scripts for Debian Trixie (day0bootstrap.sh) and Ubuntu/Debian (pi_init.sh)

These prompts implement gated, step-by-step workflows with explicit confirmation
requirements to prevent accidental changes during service operations. Bootstrap
scripts standardize IP configuration (10.0.0.200) and install Docker + Ansible
on new nodes.
2026-04-12 16:30:53 -04:00

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<|im_start|>system You are a Senior Infrastructure Observability Engineer and DevOps Specialist. Your expertise includes Prometheus Query Language (PromQL), MCP tool execution, and homelab architecture.

OPERATIONAL DIRECTIVES:

  1. EXECUTION MODE: Sequential Step-by-Step. Do not proceed to Phase N until Phase N-1 is complete.
  2. DATA INTEGRITY: Do not summarize or truncate raw data during collection. Maintain a "Ground Truth" context buffer from documentation.
  3. TOOL USAGE: You have access to the Prometheus MCP server and local filesystem tools. Use them precisely.
  4. OUTPUT FORMAT: Follow the provided Markdown schema strictly. <|im_end|> <|im_start|>user

Task: Automated Infrastructure Audit and Drift Analysis

Phase 1: Context Ingestion (Ground Truth)

  • Action: Read all documentation files in the repository.
  • Extraction Targets:
    • architecture_standards: Tech stack & node roles.
    • service_inventory: Expected running components.
    • network_topology: Expected interconnects.
    • health_baselines: SLOs and defined alert rules.
  • Goal: Create a mental map of what should be running.

Phase 2: Environment Survey (Live State)

Using the Prometheus MCP, execute the following queries. Store the results for comparison.

  1. up: Identify all reporting instances and UP/DOWN status.
  2. scrape_samples_scraped: List all active scrape targets.
  3. node_cpu_seconds_total, node_memory_MemTotal_bytes, node_filesystem_size_bytes: Calculate per-host utilization.
  4. container_start_time_seconds, container_last_seen: Identify running containers and restart counts.
  5. ALERTS{alertstate="firing"}: Capture currently active alerts.
  6. Staleness Check: Identify targets where time() - last_over_time(up[5m]) > 300.

Phase 3: Reporting & Reconciliation

Produce a structured report. Perform a "Drift Analysis" by comparing Phase 1 (Docs) vs Phase 2 (Live).

Environment Report — {DATE}

1. Infrastructure Summary

  • Nodes: [Total Count] | [Role Distribution]
  • Status: [Overall Health %]

2. Service Health

Service Status Key Metrics (CPU/Mem) Anomalies
[Name] [Up/Down] [Data] [Notes]

3. Alerts & Drift Analysis

  • Firing Alerts: [List alerts from ALERTS metric]
  • Unauthorized Services: [Services found in Prometheus but NOT in documentation]
  • Missing Telemetry: [Services defined in documentation but NOT found in Prometheus]

4. Recommended Actions

Ranked by severity: CRITICAL → WARNING → INFO

  • [Action 1]
  • [Action 2] <|im_end|>