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Systems Thinking by 小钳
by
1580021414-afk
· GitHub ↗
· v1.0.0
· MIT-0
212
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install xiaoqian-systems-thinking
Description
系统思维技能，让 AI 具备分析复杂系统的能力
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xiaoqian-systems-thinking - After installation, invoke the skill by name or use
/xiaoqian-systems-thinking - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
基于《系统之美》的系统思维分析工具
Metadata
Frequently Asked Questions
What is Systems Thinking by 小钳?
系统思维技能，让 AI 具备分析复杂系统的能力. It is an AI Agent Skill for Claude Code / OpenClaw, with 212 downloads so far.
How do I install Systems Thinking by 小钳?
Run "/install xiaoqian-systems-thinking" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Systems Thinking by 小钳 free?
Yes, Systems Thinking by 小钳 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Systems Thinking by 小钳 support?
Systems Thinking by 小钳 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Systems Thinking by 小钳?
It is built and maintained by 1580021414-afk (@1580021414-afk); the current version is v1.0.0.
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