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OpenClaw Performance
作者
michealxie001
· GitHub ↗
· v1.0.0
· MIT-0
136
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install openclaw-perf
功能描述
Performance analysis and optimization. Profiles code execution, identifies bottlenecks, and suggests optimizations.
安全使用建议
This skill appears to be what it says: a local Python performance analyzer. Before installing or running it, consider: (1) review the included scripts locally (you already have them) and run them in a sandbox or on a copy of your repository to avoid accidental scans of sensitive directories; (2) the tool reads your source files — do not point it at folders containing secrets or credentials; (3) profiling recommendations (cProfile, timeit) will execute your code if you follow them — only run user code you trust. No credentials or network access are requested, so the primary risk is accidental analysis or execution of untrusted code rather than data exfiltration.
功能分析
Type: OpenClaw Skill
Name: openclaw-perf
Version: 1.0.0
The skill bundle is a static analysis tool for identifying Python performance bottlenecks (e.g., N+1 queries, nested loops). The code in scripts/main.py uses the standard 'ast' module to safely parse files without execution and provides recommendations via print statements; it does not perform any network calls, file exfiltration, or unauthorized command execution.
能力评估
Purpose & Capability
Name/description claim performance analysis; included scripts/main.py implements static analysis, simple checks (N+1, string concat, unused imports, nested loops) and CLI stubs for profiling/benchmarking. No unrelated binaries, env vars, or credentials are requested — all required pieces are consistent with the stated purpose.
Instruction Scope
SKILL.md instructs running the bundled script against project files or directories and shows CI examples. The runtime instructions and the code only read and parse Python source files and present profiling/benchmark guidance. The analyzer reads files under user-specified --file/--dir; this is expected for a code analysis tool. There are no instructions to access unrelated system files, secrets, or external endpoints.
Install Mechanism
No install spec is provided (instruction-only with a bundled script). Nothing is downloaded or extracted; the single included Python script is self-contained and uses only stdlib modules, which is proportionate and low risk.
Credentials
The skill declares no required environment variables or credentials. The code also does not read environment variables or require secrets. This is appropriate for a static profiler/analyzer.
Persistence & Privilege
Skill is not always-enabled and requests no elevated persistence. It does not modify other skills or global agent configuration. Autonomous invocation (platform default) would let the agent run the analyzer, which is reasonable but should be controlled by the user.
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 openclaw-perf - 安装完成后,直接呼叫该 Skill 的名称或使用
/openclaw-perf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
Performance analysis and bottleneck detection tool
元数据
常见问题
OpenClaw Performance 是什么?
Performance analysis and optimization. Profiles code execution, identifies bottlenecks, and suggests optimizations. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 136 次。
如何安装 OpenClaw Performance?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-perf」即可一键安装,无需额外配置。
OpenClaw Performance 是免费的吗?
是的,OpenClaw Performance 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
OpenClaw Performance 支持哪些平台?
OpenClaw 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 OpenClaw Performance?
由 michealxie001(@michealxie001)开发并维护,当前版本 v1.0.0。
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