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performance-benchmark
作者
Deonte Cooper
· GitHub ↗
· v1.0.2
· MIT-0
180
总下载
0
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当前安装
3
版本数
在 OpenClaw 中安装
/install performance-benchmark
功能描述
Measure performance baselines, detect regressions, and compare stack alternatives before/after changes. Modes: page performance (Core Web Vitals), API latenc...
安全使用建议
This skill is a coherent, instruction-only benchmarking guide — it does not install code or ask for credentials. Before using it: (1) ensure you have the benchmark tools it references (k6, autocannon, hyperfine, or a 'benchmark' CLI) or provide your own implementations; (2) never run load tests against production without explicit authorization — the SKILL.md includes the same warning; (3) review what you store in .benchmarks/ before committing (it may contain timing data or URLs you don't want public); (4) if you plan to run benchmarks from CI, ensure your runners and secrets are properly scoped; and (5) if you expect the skill to provide a runnable CLI, note it doesn't — you must map the documented commands to real tools or scripts. Overall this is internally consistent and does what it says.
能力评估
Purpose & Capability
Name/description match the instructions: the SKILL.md describes page, API, and build benchmarking and expects external benchmark tools. It does not request unrelated credentials or binaries.
Instruction Scope
Instructions are coherent but high-level: they assume a 'benchmark' CLI and third-party tools (k6, autocannon, hyperfine) are present but do not provide or install them. The skill warns about load-testing production. Because it's an instruction-only skill, there is no hidden file I/O or unexpected external endpoints, but the lack of implementation means the agent or user must supply tooling.
Install Mechanism
No install spec and no code files — lowest-risk model. Nothing is downloaded or written by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested. Requested storage location (.benchmarks/) is reasonable for baselines but should be reviewed for sensitive content.
Persistence & Privilege
Skill is not always-enabled and does not request elevated or persistent agent privileges. It does not modify other skills or system configuration.
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 performance-benchmark - 安装完成后，直接呼叫该 Skill 的名称或使用
/performance-benchmark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
v1.0.2
Fixed metadata: clarified benchmark tool requirement with examples (k6, autocannon, hyperfine); standardized benchmark storage path to .benchmarks/; added production safety warning
v1.0.1
Fix: replace bare code blocks with ```text for consistent rendering
v1.0.0
Initial release. Performance benchmarking for Web Vitals, API latency, and build speed. Adapted from everything-claude-code by @affaan-m (MIT)
元数据
常见问题
performance-benchmark 是什么？
Measure performance baselines, detect regressions, and compare stack alternatives before/after changes. Modes: page performance (Core Web Vitals), API latenc... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 180 次。
如何安装 performance-benchmark？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install performance-benchmark」即可一键安装，无需额外配置。
performance-benchmark 是免费的吗？
是的，performance-benchmark 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
performance-benchmark 支持哪些平台？
performance-benchmark 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, darwin, win32）。
谁开发了 performance-benchmark？
由 Deonte Cooper（@djc00p）开发并维护，当前版本 v1.0.2。
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