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Spot Vm Strategy
作者
Anmol Nagpal
· GitHub ↗
· v1.0.0
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当前安装
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版本数
在 OpenClaw 中安装
/install spot-vm-strategy
功能描述
Design an interruption-resilient GCP Spot VM strategy for eligible workloads with 60-91% savings
安全使用建议
This skill is coherent for the stated purpose, but exercise caution before pasting data: billing exports and instance lists can contain project IDs, billing account IDs, cost numbers, and other sensitive metadata. Do not paste credentials, tokens, or private keys (the skill also says not to). If you want to limit exposure, redact project IDs, billing account numbers, or any URLs before sharing, or run the analysis locally and share only summarized outputs (e.g., aggregated costs or a trimmed instance list). Also be aware the SKILL.md contains a factual inaccuracy about Spot vs Preemptible VM behavior and a small command formatting error — verify recommendations against current GCP docs before applying them in production.
功能分析
Type: OpenClaw Skill
Name: spot-vm-strategy
Version: 1.0.0
The skill bundle is a strategy design tool for GCP Spot VM optimization. It provides read-only discovery commands (gcloud compute/container list and BigQuery billing queries) for the user to execute manually and share for analysis. The instructions in SKILL.md explicitly forbid the agent from asking for credentials and include safety checks to ensure user-provided data is sanitized, showing no signs of malicious intent or unauthorized execution.
能力评估
Purpose & Capability
The name/description (design Spot VM strategies) match the SKILL.md: it requests exported instance lists, GKE node-pool configs, and billing exports — all reasonable inputs for cost/availability analysis. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
The skill is instruction-only and explicitly asks the user to paste CLI/BigQuery outputs (inventory and billing exports). This stays within the stated purpose, but these outputs can include sensitive identifiers and billing amounts. The SKILL.md correctly forbids asking for credentials. Also note minor inaccuracies and sloppy command examples: it states 'Spot VMs can run up to 24 hours before preemption' (that's true for old Preemptible VMs but not a general property of Spot VMs) and the sample gcloud command includes two --format flags which is inconsistent.
Install Mechanism
No install spec and no code files — lowest-risk delivery mechanism. Nothing is written to disk by the skill itself.
Credentials
The skill requests no environment variables or credentials (proportionate). It does ask for exported billing and inventory data; that is relevant for cost estimates but can contain sensitive project/billing identifiers — the user should redact or verify before sharing.
Persistence & Privilege
always:false, no install, and no self-modifying configuration. The skill has no elevated persistence or system-wide privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install spot-vm-strategy - 安装完成后，直接呼叫该 Skill 的名称或使用
/spot-vm-strategy触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of gcp-spot-vm-strategy skill.
- Instructional tool to design cost-optimal and resilient GCP Spot VM strategies for eligible workloads.
- Guides users in analyzing instance inventory, GKE node pools, and billing data for Spot VM opportunities.
- Provides step-by-step recommendations, including workload eligibility, MIG setup, cost savings estimates, and CLI examples.
- Emphasizes best practices: interruption handling, optimal Spot/On-Demand mix, and data privacy (no credentials requested).
元数据
常见问题
Spot Vm Strategy 是什么？
Design an interruption-resilient GCP Spot VM strategy for eligible workloads with 60-91% savings. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 306 次。
如何安装 Spot Vm Strategy？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install spot-vm-strategy」即可一键安装，无需额外配置。
Spot Vm Strategy 是免费的吗？
是的，Spot Vm Strategy 完全免费（开源免费），可自由下载、安装和使用。
Spot Vm Strategy 支持哪些平台？
Spot Vm Strategy 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Spot Vm Strategy？
由 Anmol Nagpal（@anmolnagpal）开发并维护，当前版本 v1.0.0。
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