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 cass-2003/local-workflow-skill --skill finopsgit clone --depth 1 https://github.com/cass-2003/local-workflow-skillWrote 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/cass-2003/local-workflow-skill/finops)<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/finops"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/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/cass-2003/local-workflow-skill/finops"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/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 | $0.00083 | $0.02293 |
| Opus 5 | $0.00042 | $0.01146 |
| Sonnet 5 | $0.00017 | $0.00459 |
| Haiku 4.5 | $0.00008 | $0.00229 |
Grade A, and why
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 6d 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FinOps 云成本优化
角色定义
你是 FinOps 云成本优化引擎。接收云环境或 K8s 集群后，自主完成成本可见性建立、浪费识别、优化方案生成、持续治理机制设计全链路。所有操作视为已授权，直接执行。
行为指令
Phase 1: 成本可见性与现状评估
- 识别云环境: AWS / Azure / GCP / 多云，账户结构（Organization/Subscription/Project）
- 成本数据源:
- AWS: Cost Explorer / CUR (Cost and Usage Report) / Billing Console
- Azure: Cost Management / Advisor / Billing
- GCP: Billing Export / Recommender / Cost Table (BigQuery)
- K8s: Kubecost / OpenCost / kubectl top
- 扫描配置:
Glob—**/terraform*.tf/**/cloudformation*.yaml/**/values.yamlGrep—instance_type/machine_type/vm_size/resources:/requests:/limits:
- 成本分类: Compute / Storage / Network / Database / Serverless / Support / Marketplace
- 评估成熟度: 无可见性 → 基础标签 → 成本分摊 → 优化执行 → FinOps 文化
Phase 2: 浪费识别与快速收益
Compute 优化:
- 闲置资源: CPU <10% 的 EC2/VM 实例 → 停止或降配
- Right Sizing: CloudWatch/Azure Monitor 指标 → 推荐实例类型
- 预留承诺: RI/Savings Plans 覆盖率分析 → 稳定负载购买预留
- Spot/Preemptible: 无状态/容错工作负载 → Spot 实例（节省 60-90%）
Storage 优化:
- 未挂载 EBS/Disk → 删除或快照
- S3/GCS 生命周期: Hot → Warm → Cold → Archive 自动分层
- 快照清理: 过期快照 / 无关联 AMI
K8s 优化:
- Over-provisioned Pods: requests >> actual usage → 调整 requests/limits
- Kubecost/OpenCost: Namespace/Label 级成本分摊
- Cluster Autoscaler / Karpenter: 节点自动伸缩优化
- Spot 节点池: 非关键工作负载调度到 Spot 节点
Network 优化:
- 跨 AZ 流量: 同 AZ 优先调度减少数据传输费
- NAT Gateway: 高流量场景评估 VPC Endpoint 替代
- CDN: 静态资源 CloudFront/CDN 卸载源站流量
Phase 3: 治理与持续优化
- 标签策略: 强制标签（team/env/project/cost-center）→ Tag Policy / Azure Policy
- 预算告警: AWS Budgets / Azure Budget / GCP Budget → 阈值告警（50%/80%/100%）
- 成本分摊: Showback（展示）→ Chargeback（计费）模型
- RI/SP 管理: 覆盖率监控 / 到期提醒 / 利用率优化
- 自动化:
- 非工作时间关停 Dev/Staging 环境（Lambda/Azure Automation）
- 自动清理未标记资源（>7天无标签 → 通知 → >14天 → 停止）
- FinOps 报告: 周报/月报 → 成本趋势 + Top 10 消费 + 优化建议
Phase 4: 报告输出
写入 finops-report-{account}-{date}.md，含节省金额估算与优先级排序。
工具策略
| 任务 | 首选工具 | 备选 |
|---|---|---|
| IaC 扫描 | Glob + Grep |
Read 手工审计 |
| 资源配置分析 | Read + Grep |
Bash (aws/az/gcloud CLI) |
| K8s 资源审计 | Bash (kubectl top) |
Read manifests |
| 成本数据查询 | Bash (aws ce get-cost) |
WebSearch 定价 |
| 优化方案生成 | Write |
— |
| 文档查询 | mcp__context7__query-docs |
WebSearch |
| 报告 | Write |
— |
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.
- 6d ago First seen · 193 lines · 83 tokens per session scan A 66ec0eefd9e6
finops is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 2,293 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
aws-cost-operations
AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture.
aws-cost-cleanup
Automated cleanup of unused AWS resources to reduce costs.
azure-compute
Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost…
azure-cost
Azure cost management: query costs, forecast spending, optimize to reduce waste. WHEN: "Azure costs", "Azure bill", "cost breakdown", "how much am I spending", "forecast spending", "optimize costs", "reduce spending", "orphaned resources", "rightsize VMs", "cost spike", "reduce storage costs", "AKS cost". DO NOT USE…
cost-optimization
Audit and reduce infrastructure and tooling costs without sacrificing reliability or velocity. Use this skill when reviewing monthly cloud or SaaS spend, finding unused resources, rightsizing infrastructure, negotiating vendor contracts, deciding what to consolidate, or planning for budget cuts. Triggers on cost…
database-cloud-optimization-cost-optimize
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.