.claude/skills/cdaRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
因果动力学架构(Causal Dynamics Architecture, CDA)领域知识参考。 当用户讨论 CDA 架构设计、因果机制网络、哈密顿约束、因果封装递归、 物理约束神经网络、因果推断与深度学习融合、统计力学启发的人工智能时触发。 提供架构全局认知和详细参考文件的按需深入能力。
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/cdaRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/cdaRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/cdaRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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/cdaclawhub inspect @wangjiaocheng/cda --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:6125789ac82370d25df9bdf8d1e48a2e7e36d14ddf13bd5e5f6ad77bd927684areferences/因果动力学架构(Causal Dynamics Architecture, CDA).mdreferences/技术的螺旋:从连接到创造,一部数字文明的演进实录.mdreferences/第三代人工智能:因果仿真范式.mdskill-card.mdSKILL.md- Initial public release of the "cda" skill, providing comprehensive reference knowledge on Causal Dynamics Architecture (CDA). - Includes detailed descriptions and documentation covering core concepts, system architecture, key data structures, terminology, and capability comparisons with existing AI methods. - Reference files offer a full knowledge chain from the evolution of digital civilization to third-generation AI paradigms, and to the technical implementation of CDA. - Guides users on how to access in-depth documentation and technical details on demand. - Outlines known limitations, open questions, originality assessment, and a phased implementation roadmap.