What makes Global Macro Database Assistant notable?

17.1K downloads. Trust evidence available

How should Global Macro Database Assistant be evaluated before use?

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Global Macro Database Assistant

基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。Natural language query for macroecono... Skill: Global Macro Database Assistant Owner: financial-ai-analyst Summary: 基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。Natural language query for macroecono... Tags: Marco:1.0.5, analysis:1.0.5, economic:1.0.5, financial:1.0.5, latest:1.0.12, market:1.0.5, research:1.0.5 Version history: v1.0.12 | 2026-04-17T11:19:21.300Z | user Publish 1.0.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

17k

Updated

Oct 9, 2026

Version

1.0.12

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 17.1K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 17.1K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.12release · observed Apr 17, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s172qfps754dhtdynwv0gwshes83mtd4:mx-macro-data

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-financial-ai-analyst-mx-macro-data/snapshot"

Documentation

CLAWHUB

87,722 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: mx-macro-data
description: 基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。Natural language query for macroeconomic data from financial databases, covering national economic accounting, price indices, monetary finance, fiscal revenue and expenditure, foreign trade, employment, industrial operation, and other fields. It supports diverse scenarios including macroeconomic research, market analysis, and policy interpretation.
metadata:
  {
    "openclaw": {
      "requires": {
        "env":["EM_API_KEY"]
      },
      "install": [
        {
          "id": "pip-deps",
          "kind": "python",
          "package": "httpx",
          "label": "Install Python dependencies"
        }
      ]
    }
  }
---

# 宏观经济数据查询 (mx_macro_data)

通过**文本输入**查询宏观经济数据，接口返回 JSON 后会自动转换为 **CSV** 并生成对应的**内容描述 txt** 文件。

## 密钥来源与安全说明

- 本技能仅使用一个环境变量：`EM_API_KEY`。
- `EM_API_KEY` 由东方财富妙想服务（`https://ai.eastmoney.com/mxClaw`）签发，用于其接口鉴权。
- 在提供密钥前，请先确认密钥来源、可用范围、有效期及是否支持重置/撤销。
- 禁止在代码、提示词、日志或输出文件中硬编码/明文暴露密钥。

## ⚠️ 核心输入约束 (Critical Input Constraints)

- **时间维度**：支持相对时间表述（如“今年”、“过去三年”、“上月”）。
- **地域维度**：支持宏观地区表述（如“中国”、“美国”、“欧元区”、“华东地区”、“中国各省”），无需拆解为具体省市列表。

### 1. 禁止模糊商品类别 (No Ambiguous Commodities)
- **禁止输入**：大类统称（如“稀土金属”、“有色金属”、“农产品”、“能源”、“科技股”）。
- **要求**：必须解包为具体的**交易品种名称或代码**。
  - ❌ 错误：`"查询稀土价格走势"`
  - ✅ 正确：`"查询氧化镨钕、氧化镝、氧化铽的价格走势"`

### 2. 禁止宏观泛指指标 (No Macro Generalizations without Metrics)
- **禁止输入**：宽泛的经济概念而无具体指标（如“中国经济”、“美国制造业状况”、“全球通胀情况”）。
- **要求**：必须指定具体的**指标名称**（如 GDP、CPI、PMI、失业率、工业增加值等）。
  - ❌ 错误：`"查询中国经济数据"`
  - ✅ 正确：`"查询中国 GDP 同比增速、中国 CPI 同比"`
  - ✅ 正确：`"查询美国制造业 PMI"` (地域允许宏观，但指标必须具体)

### 3. 时间与地域的灵活性 (Flexible Time & Region)
- **时间**：无需绝对日期。
  - ✅ 允许：`"查询中国过去五年的M2增速"`、`"查询上个月美国的非农数据"`、`"查询黄金今日价格"`。
  - ✅ 允许（缺省）：`"查询德国失业率"` 。
- **地域**：无需拆解为子集列表。
  - ✅ 允许：`"查询华东地区GDP"`,`"查询中国各省GDP"`。
  - ⚠️ 注意：若涉及“主要新兴市场”、“Top 5 国家”等动态排名指代，仍建议上层模型解包为具体国家列表（如 `"查询中国、印度、巴西的M2"`），以确保数据源一致性。

## 🔄 输出接口与上层规划协议 (Output Interface & Orchestration Protocol)

本 Skill 仅负责执行单次查询并生成文件。**为实现数据完整性保障，上层规划引擎必须根据以下协议，对本 Skill 的输出进行后续处理。**

### 1. 输出文件结构 (Output File Structure)
执行 `mx_macro_data` 后，Skill 将在指定目录下生成一个或多个 CSV 文件，以及一个描述文件。

- **CSV 文件**：`mx_macro_data_<查询ID>_<频率>.csv`
  - *示例*：`mx_macro_data_4591GG28_yearly.csv`, `mx_macro_data_4591GG28_quarterly.csv`, `mx_macro_data_4591GG28_monthly.csv`
  - **注意**：文件数量和频率取决于查询指标的可用性（yearly、quarterly、monthly、weekly、daily）。
- **描述文件**：`mx_macro_data_<查询ID>_description.txt`
  - 包含数据来源、时间范围、指标说明等基础信息。

### 2. 上层规划引擎必须执行的“完整性复核”逻辑 (Mandatory Verification Logic for Orchestrator)

上层规划引擎在调用 `mx_macro_data` 后，**必须**执行以下工作流，以确保最终结果的完整性：
#### **阶段 A: 任务解析与预期规划 (Task Parsing & Expectation Planning)**
1.  **解析原始用户意图**：从用户查询中提取核心要素。
2.  **构建预期全集 (Expected Universe)**：
    - **地域**：通过规划引擎的内置知识库、搜索引擎或 LLM 推理能力，将模糊地域表述解析为具体行政单元。例如："中国各省" → 34 个省级行政区；"华东地区" → 上海、江苏、浙江、安徽、福建、江西、山东共 7 个省市。
    - **指标**：将复合指标拆解为独立指标。例如："GDP, CPI" → ["GDP", "CPI"]。
    - **频率**：根据查询语境推断预期频率，可能生成多个频率的数据文件（yearl

_meta.json

{
  "ownerId": "kn7b4ptpdag877t9kmq8axyja182taab",
  "slug": "mx-macro-data",
  "version": "1.0.12",
  "publishedAt": 1776424761300
}

skill-card.md

## Description:

Queries Eastmoney macroeconomic data from natural-language prompts and saves returned tables as CSV files with a text description.

This skill is ready for commercial/non-commercial use.

## Publisher:

[financial-ai-analyst](https://clawhub.ai/user/financial-ai-analyst)

### License/Terms of Use:

MIT-0

## Use Case:

Analysts, researchers, and agents use this skill to retrieve specific macroeconomic indicators, market data, and commodity series from Eastmoney and produce CSV outputs for review or downstream analysis.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill contacts Eastmoney services during normal operation.

Mitigation: Run it only where those outbound requests are expected and allowed.

Risk: The EM_API_KEY credential could be exposed or misused if broadly scoped.

Mitigation: Set EM_API_KEY only for users and sessions that need the service, and avoid storing it in code, prompts, logs, or generated files.

Risk: Generated CSV files contain external data and may be opened in spreadsheet tools.

Mitigation: Treat generated CSV files as untrusted external data and inspect or sanitize them before opening them in Excel or similar applications.

Risk: The skill writes result files under the configured output directory.

Mitigation: Run it in an isolated workspace and set MX_MACRO_DATA_OUTPUT_DIR explicitly when file placement matters.

Risk: Large or ambiguous macroeconomic requests may return partial data or require follow-up queries.

Mitigation: Review the generated description and status messages, verify expected regions, indicators, and frequencies, and report or retry missing data when needed.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/financial-ai-analyst/skills/mx-macro-data)
- [Eastmoney Miaoxiang Claw service](https://ai.eastmoney.com/mxClaw)
- [Eastmoney API service endpoint](https://ai-saas.eastmoney.com)

## Skill Output:

**Output Type(s):** [CSV files, Text, Status metadata]

**Output Format:** [CSV files grouped by frequency, a UTF-8 text description file, and returned path/count metadata]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires EM_API_KEY and writes outputs under MX_MACRO_DATA_OUTPUT_DIR or the skill default output directory.]

## Skill Version(s):

1.0.12 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 9, 2026.

About

Avoid when

Public facts

Install and run

Documentation

Extracted files

SKILL.md

_meta.json

skill-card.md

Related agents

activepieces

cherry-studio

AionUi

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Machine-readable data