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在 OpenClaw 中安装
/install nm-conserve-cpu-gpu-performance
功能描述
Establish CPU/GPU baselines before resource-intensive operations. Use for regression detection
安全使用建议
The skill's instructions for benchmarking and throttling CPU/GPU usage look reasonable and limited to local monitoring. Before installing, ask the publisher to explain why the skill requires the 'night-market.token-conservation' config path: what data or token is stored there, and how the skill uses it? If that config contains sensitive tokens, review the Night Market plugin code (or avoid installing) to ensure the skill won't read or transmit secrets. Also verify that the host has the profilers/commands it references (nvidia-smi, perf, nsys) and that you are comfortable granting the skill autonomous invocation in case it gets invoked by other Night Market automation.
功能分析
Type: OpenClaw Skill
Name: nm-conserve-cpu-gpu-performance
Version: 1.0.0
The skill bundle provides a set of instructions for an AI agent to monitor and manage CPU and GPU resource utilization. It suggests using standard system utilities such as uptime, ps, and nvidia-smi, along with profiling tools like perf and nsys, to establish performance baselines and prevent resource exhaustion. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name and description match the instructions: steps to capture utilization, profiling, throttling, and logging. However, the registry metadata declares a required config path (night-market.token-conservation) which is not referenced or justified by the instructions. A CPU/GPU baseline helper normally wouldn't need an external token/config; this is an inconsistency that should be explained by the author (integration with Night Market may be the reason).
Instruction Scope
SKILL.md only instructs local monitoring and profiling commands (uptime, ps, nvidia-smi, perf, nsys, etc.), scoping is limited to establishing baselines and managing resource usage. It does not instruct reading unrelated files, exfiltrating data, or calling external endpoints.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk installation surface. Nothing is downloaded or written to disk by an installer.
Credentials
No env vars or binaries are required, but the single required config path (night-market.token-conservation) is potentially sensitive. The SKILL.md does not show any use of that config, so requesting it appears disproportionate to the stated purpose unless the skill integrates with a Night Market service. This should be justified: what is stored at that path, and why is it needed?
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent presence or system-wide changes. The SKILL.md mentions auto-loading alongside token-conservation in usage guidance, but that is a usage suggestion, not an enforced persistent privilege.
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 nm-conserve-cpu-gpu-performance - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-conserve-cpu-gpu-performance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 the cpu-gpu-performance skill (v1.0.0).
- Provides a step-by-step discipline for benchmarking CPU/GPU usage before resource-intensive operations to detect regressions.
- Outlines required actions: establishing a baseline, scoping work, instrumentation, throttling, and logging.
- Auto-loads with sessions involving `token-conservation` and offers clear criteria for when to use or skip.
- Includes practical examples, troubleshooting tips, and output expectations.
元数据
常见问题
Nm Conserve Cpu Gpu Performance 是什么？
Establish CPU/GPU baselines before resource-intensive operations. Use for regression detection. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 94 次。
如何安装 Nm Conserve Cpu Gpu Performance？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-conserve-cpu-gpu-performance」即可一键安装，无需额外配置。
Nm Conserve Cpu Gpu Performance 是免费的吗？
是的，Nm Conserve Cpu Gpu Performance 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Conserve Cpu Gpu Performance 支持哪些平台？
Nm Conserve Cpu Gpu Performance 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 Nm Conserve Cpu Gpu Performance？
由 athola（@athola）开发并维护，当前版本 v1.0.0。
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