Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/10/2026.claude/skills/cda-data-synthRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Real Skill packageSource verifiedClawHub registry
CDA Data Synth
CDA 因果数据合成器——根据领域描述自动生成 CDA 架构可消费的因果数据集。 生成 Entity-State Graph（JSON 格式）、CausalEdge 列表、带时间戳的观测轨迹、哈密顿量约束参数。 覆盖热力学、力学、流体、多域耦合等物理域，支持生成训练数据、验证数据、基准测试数据。 当用户需要为 C...
Identity and source
Publisher attribution波动几何registry owner unverified by skillvetai
Functional categoryData, Spreadsheets & Analyticsautomatically inferred · 54% rule confidence
Package forminstruction bundle5 recorded files
Canonical sourceClawHub registryclawhub:wangjiaocheng:cda-data-synth
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OpenClawnative officialProvenance: registry distribution
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OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/10/2026.agents/skills/cda-data-synthRuntime, 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/cda-data-synthRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Installation and inspection
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clawhub install @wangjiaocheng/cda-data-synthclawhub inspect @wangjiaocheng/cda-data-synth --version 1.0.0Security evidence
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- Status
- completed
- Coverage
- full text content
- Files
- 5 / 5 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
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- Evidence checked
- 5/29/2026, 8:42:54 PM
- Release binding
- Matches this record
- vt: clean
- skillspector: clean
- llm: clean
Recorded files
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Package content hash
sha256:4facabf73e5c4f442c64a80267e40051f5bc818743172ad55e75953d1d419491Show up to 5 recorded paths
references/data-format-spec.mdreferences/synthesis-protocols.mdreferences/thermal-building-example.jsonskill-card.mdSKILL.md
Source changelog
Initial release of CDA Data Synthesizer: - Generates synthetic causal datasets for CDA architecture from domain descriptions. - Outputs standardized JSON files: Entity-State Graph, trajectory snapshots, Hamiltonian parameters, and metadata. - Supports multiple physical domains: thermodynamics, mechanics, fluid dynamics, and multi-domain coupling. - Ensures physical consistency, true causality, verifiability, and scalability in generated data. - Provides a clear workflow and protocol references for data generation and formatting.