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Install in OpenClaw
/install nm-conserve-cpu-gpu-performance
Description
Establish CPU/GPU baselines before resource-intensive operations. Use for regression detection
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-conserve-cpu-gpu-performance - After installation, invoke the skill by name or use
/nm-conserve-cpu-gpu-performance - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Nm Conserve Cpu Gpu Performance?
Establish CPU/GPU baselines before resource-intensive operations. Use for regression detection. It is an AI Agent Skill for Claude Code / OpenClaw, with 94 downloads so far.
How do I install Nm Conserve Cpu Gpu Performance?
Run "/install nm-conserve-cpu-gpu-performance" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Conserve Cpu Gpu Performance free?
Yes, Nm Conserve Cpu Gpu Performance is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Conserve Cpu Gpu Performance support?
Nm Conserve Cpu Gpu Performance is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Conserve Cpu Gpu Performance?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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