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在 OpenClaw 中安装
/install mars-clouds-clustering-pareto-optimization
功能描述
Multi-objective optimization with Pareto frontiers. Use when optimizing multiple conflicting objectives simultaneously, finding trade-off solutions, or compu...
安全使用建议
This is an instruction-only, documentation-style skill for Pareto/frontier computations and appears coherent. Before running code: ensure the runtime has the Python packages referenced (paretoset, pandas, numpy, matplotlib) or be prepared to install them from trusted sources (e.g., PyPI). Be aware the examples write a local CSV and show plotting—verify you are comfortable saving outputs to the agent environment and do not feed sensitive data into the examples. If you need the skill to auto-install packages, require an install spec or inspect any installer before granting permission to download and run code.
功能分析
Type: OpenClaw Skill
Name: mars-clouds-clustering-pareto-optimization
Version: 0.1.0
The skill bundle provides educational content and Python code examples for Pareto optimization and multi-objective trade-off analysis. The code in SKILL.md uses standard data science libraries (pandas, numpy, paretoset) and contains no indicators of malicious intent, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
Name and description match the SKILL.md content. The instructions use Python libraries (paretoset, pandas, numpy, matplotlib) but the skill declares no install steps or required binaries—this is plausible for an instruction-only skill but means the runtime must already provide those libraries.
Instruction Scope
Instructions stay on-topic: computing Pareto sets, example code, plotting, and saving a CSV. They do not instruct reading unrelated files, accessing environment variables, or transmitting data externally.
Install Mechanism
No install spec (instruction-only). That is the lowest-risk install model; however, users should note the examples assume Python packages are available in the execution environment.
Credentials
The skill requests no environment variables, credentials, or config paths—proportionate for a local computation/visualization helper.
Persistence & Privilege
always is false and there is no persistence or requests to modify other skills or system settings.
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 mars-clouds-clustering-pareto-optimization - 安装完成后，直接呼叫该 Skill 的名称或使用
/mars-clouds-clustering-pareto-optimization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
v0.1.0
Bulk publish from all-task-skills-dedup
元数据
常见问题
pareto-optimization 是什么？
Multi-objective optimization with Pareto frontiers. Use when optimizing multiple conflicting objectives simultaneously, finding trade-off solutions, or compu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 75 次。
如何安装 pareto-optimization？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mars-clouds-clustering-pareto-optimization」即可一键安装，无需额外配置。
pareto-optimization 是免费的吗？
是的，pareto-optimization 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
pareto-optimization 支持哪些平台？
pareto-optimization 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 pareto-optimization？
由 lnj22（@lnj22）开发并维护，当前版本 v0.1.0。
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