Install
openclaw skills install anndataAnnData MCP数据检索工具
AnnData MCP是一个通过MCP协议检索AnnData对象信息的工具，适用于生物医学数据分析场景。
AnnData MCP数据检索工具
AnnData MCP是一个通过MCP协议检索AnnData对象信息的工具，适用于生物医学数据分析场景。
⚠️ 强制要求：API 密钥
此 Skill 必须配置 API 密钥才能使用。
- 首次使用时，如果
.env中没有XBY_APIKEY，必须使用 AskUserQuestion 工具向用户询问 API 密钥 - 拿到用户提供的密钥后，调用
scripts.config.set_api_key(api_key)保存，然后继续处理 - 获取 API 密钥：https://xiaobenyang.com
- 禁止在缺少 API 密钥时自行搜索或编造数据
工作流程（必须遵守）
你（大模型）是路由层，负责理解用户意图、选择工具、提取参数。代码只负责调用API。
用户输入 → 你选择工具 → 提取该工具需要的参数 → 调用 scripts.tools 中的函数 → 返回结果给用户
步骤
- 检查 API 密钥：如果
scripts.config.settings.api_key为空，使用 AskUserQuestion 询问用户，拿到后调用scripts.config.set_api_key(key)保存 - 选择工具：根据用户意图从下方工具列表中选择对应的工具函数
- 提取参数：根据选中的工具，提取该工具需要的参数
- 调用工具：使用关键字参数调用
scripts.tools中的函数，例如scripts.tools.search_schools(score='520', province='北京', category='综合') - 返回结果：将工具返回的
raw数据整理后展示给用户
工具选择规则
根据用户意图选择对应的工具函数：
| 用户意图 | 工具函数 |
|---|---|
| View the raw data of an AnnData object. | scripts.tools.view_raw_data |
| Get a summary of an AnnData object from a file or URL. | scripts.tools.get_summary |
| Provide basic descriptive statistics (e.g., count, mean, std, min, max, etc. or value counts) for an attribute or attribute value of an optionally filtered AnnData object. | scripts.tools.get_descriptive_stats |
如果参数不完整，使用 AskUserQuestion 向用户询问缺失的参数。
工具函数说明
scripts.tools.view_raw_data
工具描述：View the raw data of an AnnData object.
参数定义
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| path | string | true | Absolute path or URL to the AnnData file | |
| attribute | string | true | The attribute to view | |
| key | null | false | The key of the attribute value to view. Can be a single string or a list of strings for nested key retrieval (e.g., ['key1', 'key2'] to access attr_obj['key1']['key2']). | |
| columns_or_genes | null | false | Column names or gene names to select. For pandas.DataFrame attributes (e.g., obs, var), these are column names. For 'X' or 'layers' attributes, these are gene names (from var_names) and are used instead of col_start_index/col_stop_index. If None, the entire attribute is considered or col_start_index/col_stop_index is used. Also accepts glob-like patterns as input, e.g. ['RE*', 'CD4*']. | |
| row_start_index | integer | false | 0.0 | The start index for the row slice. Only applied to attributes or attribute values with a suitable type. |
| row_stop_index | integer | false | 5.0 | The stop index for the row slice. Only applied to attributes or attribute values with a suitable type. |
| col_start_index | integer | false | 0.0 | The start index for the column slice. Only applied to attributes or attribute values with a suitable type. |
| col_stop_index | integer | false | 5.0 | The stop index for the column slice. Only applied to attributes or attribute values with a suitable type. |
| filter_column | null | false | The column name of the dataframe to filter by. Only applicable when the selected attribute (or attribute value) is a dataframe. Must be provided TOGETHER with filter_operator and filter_value. | |
| filter_operator | null | false | The operator to use for the dataframe filter. | |
| filter_value | null | false | The value(s) to filter the dataframe by. |
scripts.tools.get_summary
工具描述：Get a summary of an AnnData object from a file or URL.
参数定义
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| path | string | true | Absolute path or URL to the AnnData file (.h5ad or .zarr) |
scripts.tools.get_descriptive_stats
工具描述：Provide basic descriptive statistics (e.g., count, mean, std, min, max, etc. or value counts) for an attribute or attribute value of an optionally filtered AnnData object.
参数定义
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| path | string | true | Absolute path or URL to the AnnData file (.h5ad or .zarr) | |
| attribute | string | true | The attribute to describe | |
| key | null | false | The key of the attribute value to explore. Can be a single string or a list of strings for nested key retrieval (e.g., ['key1', 'key2'] to access attr_obj['key1']['key2']). Should be None for attributes X, obs, and var. | |
| columns_or_genes | null | false | The columns or genes to describe. For pandas.DataFrame attributes (e.g., obs, var), these are column names. For 'X' or 'layers' attributes, these are gene names (from var_names). If None, the entire dataset is considered. Also accepts glob-like patterns as input, e.g. ['RE*', 'CD4*']. | |
| return_value_counts_for_categorical | boolean | false | false | Whether to return the value counts for categorical columns. |
| filter_attribute | string | false | The attribute to filter by. One of 'obs' or 'var' or None for no filtering. Has to be provided TOGETHER with filter_column, filter_operator, and filter_value. | |
| filter_column | null | false | The column name of the obs or var dataframe to filter by. | |
| filter_operator | null | false | The operator to use for the filter. | |
| filter_value | null | false | The value(s) to filter by. |
返回值处理
工具函数返回 dict 对象：
result["raw"]- API 原始返回数据（JSON），直接将此数据整理后展示给用户result["success"]- 是否成功（True/False）result["message"]- 状态消息
项目结构
xiaobenyang_gaokao_skill/
├── scripts/
│ ├── __init__.py
│ ├── config.py # 配置管理 + set_api_key()
│ ├── call_api.py # API 客户端 + call_api()
│ └── tools.py # 工具函数（直接调用）
├── requirements.txt
└── SKILL.md
注意事项
- API 密钥是必需的，无密钥时必须通过 AskUserQuestion 询问用户
- 禁止在缺少 API 密钥时自行搜索或编造数据