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 ricmmartins/azure-sre-agent-skills --skill 04-finops-intelligencegit clone --depth 1 https://github.com/ricmmartins/azure-sre-agent-skillsWrote 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/ricmmartins/azure-sre-agent-skills/04-finops-intelligence)<a href="https://agentmods.dev/skills/ricmmartins/azure-sre-agent-skills/04-finops-intelligence"><img src="https://agentmods.dev/badge/skills/ricmmartins/azure-sre-agent-skills/04-finops-intelligence/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/ricmmartins/azure-sre-agent-skills/04-finops-intelligence"><img src="https://agentmods.dev/badge/skills/ricmmartins/azure-sre-agent-skills/04-finops-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.03124 |
| Opus 5.5 | $0.00022 | $0.01250 |
| Sonnet 5.5 | $0.00011 | $0.00625 |
| Haiku 4.5 | $0.00006 | $0.00312 |
Grade A, and why
finops-intelligence 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FinOps Intelligence
Purpose
Unified cost intelligence skill that identifies savings opportunities, tracks cost trends, and generates chargeback/showback reports by team or project. Answers both "where can we save?" and "who spent what?"
When to use this skill
- User asks "why did our bill go up?"
- User asks for cost optimization or savings opportunities
- User asks "how much did team X spend this month?"
- User asks for chargeback, showback, or cost allocation report
- Monthly proactive cost review or FinOps cadence
Pre-check
Confirm with the user:
- Scope: Which subscriptions to scan (all or specific ones)
- Time range: For trend analysis (default: last 3 months)
- Allocation model (for chargeback): Which tag to use for cost splitting?
cost-centertag (most common)ownerorteamtagapplicationorprojecttag- Resource group naming convention (e.g.,
rg-teamname-*)
- Exclusions: Dev/test subscriptions, sandbox resource groups
Analysis procedure
Step 1: Cost trend overview
Get the big picture using Azure Cost Management.
# Current month cost by service (last 30 days)
az costmanagement query --type ActualCost --timeframe MonthToDate \
--scope "subscriptions/<sub-id>" \
--dataset-aggregation '{"totalCost":{"name":"Cost","function":"Sum"}}' \
--dataset-grouping name="ServiceName" type="Dimension" \
-o table
# Previous month for comparison
az costmanagement query --type ActualCost --timeframe TheLastMonth \
--scope "subscriptions/<sub-id>" \
--dataset-aggregation '{"totalCost":{"name":"Cost","function":"Sum"}}' \
--dataset-grouping name="ServiceName" type="Dimension" \
-o table
If az costmanagement is unavailable, use the REST API:
az rest --method post \
--url "https://management.azure.com/subscriptions/<sub-id>/providers/Microsoft.CostManagement/query?api-version=2023-11-01" \
--body '{"type":"ActualCost","timeframe":"MonthToDate","dataset":{"aggregation":{"totalCost":{"name":"Cost","function":"Sum"}},"grouping":[{"type":"Dimension","name":"ServiceName"}]}}'
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.
- 1mo ago First seen · 272 lines · 55 tokens per session scan A 1001d94cc128
finops-intelligence is a skill published in the GitHub repository ricmmartins/azure-sre-agent-skills (70 stars, last pushed 7d ago), licensed MIT. It adds 55 tokens to every session and 3,124 once invoked, about $0.0002 per session on Opus 5.5. 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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