Install
openclaw skills install oecd-search一个通过SDMX API提供OECD全面统计数据的模型上下文协议(MCP)服务器,支持AI助手和聊天机器人查询经济、健康、教育、环境等OECD数据集。
openclaw skills install oecd-search一个通过SDMX API提供OECD全面统计数据的模型上下文协议(MCP)服务器,支持AI助手和聊天机器人查询经济、健康、教育、环境等OECD数据集。
此 Skill 必须配置 API 密钥才能使用。
.env 中没有 XBY_APIKEY,必须使用 AskUserQuestion 工具向用户询问 API 密钥scripts.config.set_api_key(api_key) 保存,然后继续处理你(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
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scripts.tools 中的函数,例如 scripts.tools.search_schools(score='520', province='北京', category='综合')raw 数据整理后展示给用户根据用户意图选择对应的工具函数:
| 用户意图 | 工具函数 |
|---|---|
| Search for OECD datasets (dataflows) by keyword. Returns matching datasets with their IDs, names, and descriptions. | scripts.tools.search_dataflows |
| List available OECD dataflows (datasets), optionally filtered by category. Use this to browse datasets by topic area. | scripts.tools.list_dataflows |
| Get the metadata and structure of a specific OECD dataset. Returns dimensions, attributes, and valid values for querying data. | scripts.tools.get_data_structure |
| Query actual statistical data from an OECD dataset. ⚠️ IMPORTANT: Defaults to last 100 observations (max 1000) to protect context window. Use filters, time periods, or last_n_observations to control data size. Large datasets (e.g. SOCX_AGG) can have 70,000+ observations - always specify limits! | scripts.tools.query_data |
| Get all available OECD data categories (17 categories covering all topics: Economy, Health, Education, Environment, etc.) | scripts.tools.get_categories |
| Get a curated list of commonly used OECD datasets across all categories. | scripts.tools.get_popular_datasets |
| Search for specific economic or social indicators by keyword (e.g., "inflation", "unemployment", "GDP"). | scripts.tools.search_indicators |
| Generate an OECD Data Explorer URL for a dataset. Use this to provide users with a direct link to explore data visually in their browser. | scripts.tools.get_dataflow_url |
| Get all OECD data categories with example datasets for each category. Returns comprehensive information about all 17 categories. | scripts.tools.list_categories_detailed |
如果参数不完整,使用 AskUserQuestion 向用户询问缺失的参数。
工具描述:Search for OECD datasets (dataflows) by keyword. Returns matching datasets with their IDs, names, and descriptions.
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| query | string | true | Search query to find relevant datasets | |
| limit | number | false | 20.0 | Maximum number of results to return (default: 20) |
工具描述:List available OECD dataflows (datasets), optionally filtered by category. Use this to browse datasets by topic area.
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| category | string | false | Optional category filter: ECO, HEA, EDU, ENV, TRD, JOB, NRG, AGR, GOV, SOC, DEV, STI, TAX, FIN, TRA, IND, REG | |
| limit | number | false | 50.0 | Maximum number of results (default: 50) |
工具描述:Get the metadata and structure of a specific OECD dataset. Returns dimensions, attributes, and valid values for querying data.
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| dataflow_id | string | true | Dataflow ID (e.g., "QNA", "MEI", "HEALTH_STAT") |
工具描述:Query actual statistical data from an OECD dataset. ⚠️ IMPORTANT: Defaults to last 100 observations (max 1000) to protect context window. Use filters, time periods, or last_n_observations to control data size. Large datasets (e.g. SOCX_AGG) can have 70,000+ observations - always specify limits!
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| dataflow_id | string | true | Dataflow ID to query | |
| filter | string | false | Dimension filter (e.g., "USA.GDP.." for US GDP). Use "*" or "all" for all values. Get structure first to see valid dimensions. | |
| start_period | string | false | Start period (e.g., "2020-Q1", "2020-01") | |
| end_period | string | false | End period (e.g., "2023-Q4", "2023-12") | |
| last_n_observations | number | false | Get only the last N observations (default: 100, max: 1000 to protect against context overflow) |
工具描述:Get all available OECD data categories (17 categories covering all topics: Economy, Health, Education, Environment, etc.)
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|
工具描述:Get a curated list of commonly used OECD datasets across all categories.
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|
工具描述:Search for specific economic or social indicators by keyword (e.g., "inflation", "unemployment", "GDP").
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| indicator | string | true | Indicator to search for | |
| category | string | false | Optional category filter |
工具描述:Generate an OECD Data Explorer URL for a dataset. Use this to provide users with a direct link to explore data visually in their browser.
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|---|---|---|---|
| dataflow_id | string | true | Dataflow ID | |
| filter | string | false | Optional dimension filter |
工具描述:Get all OECD data categories with example datasets for each category. Returns comprehensive information about all 17 categories.
| 参数名称 | 参数类型 | 是否必填 | 默认值 | 描述 |
|---|
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