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 viktorbezdek/skillstack --skill cloud-finopsgit clone --depth 1 https://github.com/viktorbezdek/skillstackWrote 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/viktorbezdek/skillstack/cloud-finops)<a href="https://agentmods.dev/skills/viktorbezdek/skillstack/cloud-finops"><img src="https://agentmods.dev/badge/skills/viktorbezdek/skillstack/cloud-finops/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/viktorbezdek/skillstack/cloud-finops"><img src="https://agentmods.dev/badge/skills/viktorbezdek/skillstack/cloud-finops.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 | $0.00275 | $0.03226 |
| Opus 5.5 | $0.00110 | $0.01290 |
| Sonnet 5.5 | $0.00055 | $0.00645 |
| Haiku 4.5 | $0.00028 | $0.00323 |
Grade A, and why
cloud-finops 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FinOps - Expert Guidance
Built by OptimNow (James Barney) and Viktor Bezdek. Grounded in hands-on enterprise delivery, not abstract frameworks.
How to use this skill
This skill covers cloud, AI, SaaS, and adjacent technology spend domains. Read
references/optimnow-methodology.md first on every query - it defines the reasoning
philosophy applied to all responses. Then load the domain reference that matches the query.
Domain routing
| Query topic | Load reference |
|---|---|
| AI & GenAI | |
| AI costs, LLM inference, token economics, agentic cost patterns, AI ROI, AI cost allocation, GPU cost attribution, RAG harness costs | references/finops-for-ai.md |
| AI investment governance, AI Investment Council, stage gates, incremental funding, AI value management, AI practice operations | references/finops-ai-value-management.md |
| GenAI capacity planning, provisioned vs shared capacity, traffic shape, spillover, throughput units | references/finops-genai-capacity.md |
| AI coding tools, Cursor costs, Claude Code costs, Copilot costs, Windsurf costs, Codex costs, dev tool FinOps, seat + usage billing, BYOK coding agents, LiteLLM proxy | references/finops-ai-dev-tools.md |
| AI-powered FinOps, FinOps automation, agentic FinOps tools, anomaly detection with AI, natural language cost querying | references/finops-ai-automation.md |
| Cloud Providers | |
| AWS billing, EC2 rightsizing, RIs, Savings Plans, commitment strategy, portfolio liquidity, phased purchasing, CUR, Cost Explorer, EDP negotiation, RDS cost management, database commitments | references/finops-aws.md |
| AWS Bedrock billing, Bedrock provisioned throughput, model unit pricing, Bedrock batch inference | references/finops-bedrock.md |
| Azure cost management, reservations, Savings Plans, AHB, commitment strategy, portfolio liquidity, phased purchasing, Azure Advisor, MACC, EA-to-MCA transition, database commitments | references/finops-azure.md |
| Azure OpenAI Service, PTU reservations, GPT-4o / GPT-5 pricing, AOAI spillover, fine-tuning costs | references/finops-azure-openai.md |
| Anthropic billing, Claude API costs, Claude Code costs, Opus, Sonnet, Haiku pricing, Fast mode, prompt caching, Batch API, long-context pricing | references/finops-anthropic.md |
| GCP billing, Compute Engine, Cloud SQL, GCS, BigQuery optimisation | references/finops-gcp.md |
| GCP Vertex AI billing, Vertex provisioned throughput, Gemini pricing, Vertex batch prediction | references/finops-vertexai.md |
| OCI compute, storage, networking optimisation | references/finops-oci.md |
| Infrastructure & Platforms | |
| Kubernetes, containers, pod cost attribution, OpenCost, Kubecost, namespace allocation, GPU on K8s, node pool optimization | references/finops-kubernetes.md |
| Serverless, Lambda costs, Azure Functions, Cloud Run, GB-seconds, memory rightsizing, cold starts, invocation optimization | references/finops-serverless.md |
| Kafka, MSK, Elasticsearch, OpenSearch, Redis, Valkey, event streaming costs, search cluster costs, in-memory data store costs | references/finops-data-platforms.md |
| Databricks clusters, jobs, Spark optimisation, Unity Catalog costs | references/finops-databricks.md |
| Snowflake warehouses, query optimisation, storage, credits | references/finops-snowflake.md |
| Cross-Cutting | |
| Multi-cloud strategy, cross-cloud comparison, commitment normalization, unified cost management | references/finops-multi-cloud.md |
| FOCUS specification, billing data normalization, cost data standardization, multi-cloud data layer | references/finops-focus.md |
| Tagging strategy, naming conventions, IaC enforcement, MCP governance | references/finops-tagging.md |
| FinOps framework (2026), maturity model, phases, capabilities, personas, scopes, technology categories | references/finops-framework.md |
| GreenOps, cloud carbon, sustainability, carbon-aware workloads | references/greenops-cloud-carbon.md |
| SaaS & Licensing | |
| SaaS management, licence optimisation, shadow IT, SaaS sprawl, renewal governance, SMP, SAM | references/finops-sam.md |
| ITAM, IT asset management, BYOL, marketplace channel governance, licence compliance, vendor negotiation, FinOps-ITAM collaboration, entitlement management, consumption-based SaaS overages | references/finops-itam.md |
| Multi-domain query | Load all relevant references, synthesize |
What ships with it
28 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- evals/evals.json 1.3 KB
- evals/trigger-evals.json 1.9 KB
- references/finops-ai-automation.md 14 KB
- references/finops-ai-dev-tools.md 18 KB
- references/finops-ai-value-management.md 11 KB
- references/finops-anthropic.md 7.1 KB
- references/finops-aws.md 140 KB
- references/finops-azure-openai.md 18 KB
- references/finops-azure.md 86 KB
- references/finops-bedrock.md 9.7 KB
- references/finops-data-platforms.md 15 KB
- references/finops-databricks.md 13 KB
- references/finops-focus.md 14 KB
- references/finops-for-ai.md 25 KB
- references/finops-framework.md 17 KB
- references/finops-gcp.md 17 KB
- references/finops-genai-capacity.md 9.4 KB
- references/finops-itam.md 18 KB
- references/finops-kubernetes.md 19 KB
- references/finops-multi-cloud.md 16 KB
- references/finops-oci.md 3.9 KB
- references/finops-sam.md 22 KB
- references/finops-serverless.md 13 KB
- references/finops-snowflake.md 15 KB
- references/finops-tagging.md 11 KB
- references/finops-vertexai.md 10 KB
- references/greenops-cloud-carbon.md 16 KB
- references/optimnow-methodology.md 8.0 KB
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 · 188 lines · 275 tokens per session scan A a4bebeb5c73b
cloud-finops is a skill published in the GitHub repository viktorbezdek/skillstack (14 stars, last pushed 4mo ago), licensed MIT. It adds 275 tokens to every session and 3,226 once invoked, about $0.0011 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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