Data stage — data discovery and quality assessment for asset pricing and machine learning research. Ships one skill.
Install
# from npm (prebuilt)
dsh plugin --profile web add @zasset/za-data
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:Z-Asset/ZA_data
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).
README
This plugin publishes its README in Chinese only.
数据处理：数据发现与质量评估。资产定价 + 机器学习/深度学习研究工作流的一部分。
安装
dsh plugin --profile <你的profile> add zresearch-data
或从 npm：
npm install zresearch-data
用法
安装后，在 DSH 会话中按需触发（模型会根据任务自动加载对应 skill）：
- 文献综述：问「帮我做文献综述 / 找相关论文」
- 数据处理：问「帮我找数据 / 评估数据集」
- 模型训练：问「跑回归 / 训练 ML 模型 / 横截面收益预测」
- 写报告：问「写论文 / 起草章节」
- 做 PPT：问「做演讲 PPT / Beamer / job market talk」
skill 结构
skills/zresearch-data/
├── SKILL.md # 主 skill 定义
└── references/ # 角色定义 + 领域校准
├── agents/ # worker/critic 角色
└── domain/ # domain-profile(资产定价+ML/DL)
领域
面向实证资产定价 + ML/DL：因子模型、横截面收益预测、GMM/SDF、预测回归、机器学习、深度学习。领域校准见 references/domain/domain-profile.md。
License
MIT
Links
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