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Systems Thinking by 小钳
作者
1580021414-afk
· GitHub ↗
· v1.0.0
· MIT-0
212
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install xiaoqian-systems-thinking
功能描述
系统思维技能，让 AI 具备分析复杂系统的能力
安全使用建议
This skill is an instruction-only educational/analysis module and appears coherent with its purpose. Before installing: 1) Review the full SKILL.md (the provided content was truncated) to confirm there are no hidden runtime commands that would read files, call external endpoints, or request credentials. 2) Be aware the metadata includes a personal contact (WeChat/phone) — that’s informational only but consider privacy before sharing. 3) The code snippets are examples; if you expect the agent to execute them, verify what runtime environment the agent will use and whether executing arbitrary snippets is acceptable. If you want, provide the full SKILL.md so I can re-check the remaining content for any instructions that change this assessment.
功能分析
Type: OpenClaw Skill
Name: xiaoqian-systems-thinking
Version: 1.0.0
The skill bundle is an educational resource providing conceptual frameworks and pseudo-code for 'Systems Thinking' based on Donella Meadows' theories. The content in SKILL.md consists of illustrative TypeScript and Python snippets for modeling feedback loops and system patterns, with no executable commands, network requests, or sensitive data access.
能力评估
Purpose & Capability
The name and description (systems thinking / complex-systems analysis) match the SKILL.md content: conceptual explanations, system archetypes, leverage points, and illustrative code snippets. Nothing requested (no env vars, no binaries, no installs) is out of scope for a teaching/analysis skill.
Instruction Scope
The SKILL.md contains explanatory text and multiple example code snippets (TypeScript, Python, JS) that demonstrate analysis and simulation. The instructions do not direct the agent to read local files, access external services, or exfiltrate data in the visible portion. Note: code snippets are illustrative — if an agent were instructed elsewhere to execute them, they could perform computations but the document itself does not include runtime commands or file access instructions in the provided (truncated) content.
Install Mechanism
No install specification or code files are present (instruction-only). This is lowest-risk from an install perspective; nothing will be downloaded or written to disk by an install step.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The metadata includes a personal contact string (WeChat/phone) which is informational but not a credential requirement.
Persistence & Privilege
Flags show default behavior (always: false, user-invocable: true, model-invocation allowed). The skill does not request persistent privileges or attempt to modify other skills or system-wide settings in the visible content.
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 xiaoqian-systems-thinking - 安装完成后，直接呼叫该 Skill 的名称或使用
/xiaoqian-systems-thinking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
基于《系统之美》的系统思维分析工具
元数据
常见问题
Systems Thinking by 小钳 是什么？
系统思维技能，让 AI 具备分析复杂系统的能力. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 212 次。
如何安装 Systems Thinking by 小钳？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaoqian-systems-thinking」即可一键安装，无需额外配置。
Systems Thinking by 小钳 是免费的吗？
是的，Systems Thinking by 小钳 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Systems Thinking by 小钳 支持哪些平台？
Systems Thinking by 小钳 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 Systems Thinking by 小钳？
由 1580021414-afk（@1580021414-afk）开发并维护，当前版本 v1.0.0。
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