Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jh941213/codex-lattice --skill finops-azuregit clone --depth 1 https://github.com/jh941213/codex-latticeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jh941213/codex-lattice/finops-azure)<a href="https://agentmods.dev/skills/jh941213/codex-lattice/finops-azure"><img src="https://agentmods.dev/badge/skills/jh941213/codex-lattice/finops-azure/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jh941213/codex-lattice/finops-azure"><img src="https://agentmods.dev/badge/skills/jh941213/codex-lattice/finops-azure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.00356 |
| Opus 5 | $0.00023 | $0.00178 |
| Sonnet 5 | $0.00009 | $0.00071 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
finops-azure scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
FinOps Azure
Use this skill when Azure resources, infra specs, cost estimates, budgets, quotas, scaling, monitoring, or cloud operations are involved.
Workflow
- Use read-only
azcommands by default. - Confirm login and subscription:
az account show --output jsonaz account list --output table
- Inventory relevant resources:
az resource list --output json- filter by resource group, tag, or service when known
- Check cost and waste signals:
- budgets
- unattached disks
- idle public IPs
- oversized SKUs
- missing autoscale
- missing tags
- Check operational signals:
- diagnostic settings
- alerts
- metrics
- backup/restore posture
- Record durable assumptions in
.codex-lattice/model-visible/AZURE_INFRA_MEMORY.md. - Update
docs/harness/COST_MODEL.md,docs/harness/INFRA_SPEC.md, anddocs/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.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 43 lines · 46 tokens per session scan A 6bda98293ce8
finops-azure is a skill published in the GitHub repository jh941213/codex-lattice (19 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 356 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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