jh941213/codex-lattice · Archived

finops-azure

Azure FinOps and resource review workflow. Use when Azure resources, infrastructure specs, cost estimates, budgets, quotas, scaling, monitoring, or cloud operations are involved. Defaults to read-only Azure CLI discovery.

Installation

$ npx skills add jh941213/codex-lattice --skill finops-azure

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 19
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,559 B
  • docs SUMMARY.md 241 B

History

  1. First recorded snapshot · 1 installs

SKILL.md

FinOps Azure

Use this skill when Azure resources, infra specs, cost estimates, budgets, quotas, scaling, monitoring, or cloud operations are involved.

Workflow

  1. Use read-only az commands by default.
  2. Confirm login and subscription:

- az account show --output json - az account list --output table

  1. Inventory relevant resources:

- az resource list --output json - filter by resource group, tag, or service when known

  1. Check cost and waste signals:

- budgets - unattached disks - idle public IPs - oversized SKUs - missing autoscale - missing tags

  1. Check operational signals:

- diagnostic settings - alerts - metrics - backup/restore posture

  1. Record durable assumptions in .codex-lattice/model-visible/AZUREINFRAMEMORY.md.
  2. Update docs/harness/COSTMODEL.md, docs/harness/INFRASPEC.md, and docs/harness/OPERATIONS_RUNBOOK.md.

Safety Rules

  • Do not create, update, delete, scale, rotate, or restart Azure resources without explicit user approval.
  • Never print secrets, keys, connection strings, tokens, or full credentials.
  • Prefer JSON output for machine-readable evidence.

Required Output

Return subscription, resource scope, cost drivers, waste candidates, monitoring gaps, risk, and next commands.