Real Skill packageSource verifiedClawHub registry

System Dynamics

系统动力学技能,作为反馈循环设计器,确定系统边界,识别存量流量反馈延迟,分析高杠杆干预点,设计干预模拟二阶三阶效应。6域30种任务。触发词:系统动力学、反馈循环、存量流量、高杠杆点、干预模拟、meta-skill-system。

Identity and source

Publisher attribution波动几何registry owner unverified by skillvetai
Functional categoryAgent Engineering, Security & Governanceautomatically inferred · 55% rule confidence
Package forminstruction bundle11 recorded files
Canonical sourceClawHub registryclawhub:wangjiaocheng:system-dynamics
Open canonical source ↗

Platform declarations

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OpenClawnative officialProvenance: registry distribution

Independent structural checks

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Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/10/2026.claude/skills/system-dynamics

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/10/2026.agents/skills/system-dynamics

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/10/2026skills/system-dynamics

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @wangjiaocheng/system-dynamics
clawhub inspect @wangjiaocheng/system-dynamics --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

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Status
completed
Coverage
full text content
Files
11 / 11 inspected as text
Checked
9/10/2026, 4:44:41 AM
Scanner
0.1.3
Policy
1.0.3
1 inferred permission indicators
  • network access — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
6/20/2026, 3:29:47 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:a9cc35029d0d0f21900fa0a1dab816c7767c63bf893f94a4b9209c703d2a6867
Show up to 11 recorded paths
  • references/exemplars.md
  • references/exemplars/M0-任务域协调范本.md
  • references/exemplars/M1-系统边界确定范本.md
  • references/exemplars/M2-存量流量识别范本.md
  • references/exemplars/M3-反馈延迟分析范本.md
  • references/exemplars/M4-高杠杆干预点分析范本.md
  • references/exemplars/M5-结果交付范本.md
  • references/system-dynamics-catalog.md
  • references/system-dynamics-requirements.md
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of the system-dynamics skill. - Provides a feedback loop designer for analyzing and optimizing systems using system dynamics. - Supports identification of system boundaries, stock-flow-feedback-delay elements, high-leverage intervention points, and simulates secondary/tertiary intervention effects. - Organized into 6 domains with 30 method types; includes structured execution process and downgrade/permission rules. - Implements a 5-step workflow: system boundary setting, stock-flow identification, feedback/delay analysis, high-leverage point analysis, and intervention design/simulation. - Emphasizes use of verified facts and strict adherence to analytical discipline.