What makes topic-research-report notable?

2K downloads. Trust evidence available

How should topic-research-report be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

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topic-research-report

面向专题研究报告生成的能力。适用于用户提出“某主题/事件/政策的深度研究报告”类请求时，自动生成结构化研究内容。覆盖主题投资、政策影响、事件冲击、趋势判断等跨行业议题。触发核心条件：用户目标是“专题研究/深度解读/报告输出”，而非单行业常规研究或单标的诊断。 Skill: topic-research-report Owner: financial-ai-analyst Summary: 面向专题研究报告生成的能力。适用于用户提出“某主题/事件/政策的深度研究报告”类请求时，自动生成结构化研究内容。覆盖主题投资、政策影响、事件冲击、趋势判断等跨行业议题。触发核心条件：用户目标是“专题研究/深度解读/报告输出”，而非单行业常规研究或单标的诊断。 Tags: latest:1.0.1 Version history: v1.0.1 | 2026-04-24T09:21:19.907Z | user - 增加了命令行调用的注意事项，明确禁止后台异步执行，必须同步等待命令结果。 - 常见问题部分新增专题研究报告接口响应时间相关提示，强调需同步等待结果输出。 - 其他内容无变更。 v1.0.0 | 2026-04-17T11:19:56.241Z | user Publish 1.0.0 Ar

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View on ClawHub Homepage

Rank

Safety

Downloads

2.0k

Updated

Oct 9, 2026

Version

1.0.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2K 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: 2K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.1release · observed Apr 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s172qfps754dhtdynwv0gwshes83mtd4:topic-research-report

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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-topic-research-report/snapshot"

Documentation

CLAWHUB

11,993 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: topic-research-report
description: 面向专题研究报告生成的能力。适用于用户提出“某主题/事件/政策的深度研究报告”类请求时，自动生成结构化研究内容。覆盖主题投资、政策影响、事件冲击、趋势判断等跨行业议题。触发核心条件：用户目标是“专题研究/深度解读/报告输出”，而非单行业常规研究或单标的诊断。
metadata:
  {
    "openclaw": {
      "requires": {
        "env":["EM_API_KEY"]
      }
    }
  }
---

# 专题研究报告

通过**自然语言 query**生成专题研究报告，返回 Markdown 正文及分享信息，适用场景包括：
- **事件驱动研究（政策、国际事件、宏观变化）**
- **主题投资研究（赛道、技术趋势、概念演化）**
- **跨行业影响分析（单一行业难覆盖的问题）**
- **快速输出可分享的专题深度内容**

## 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。

## 功能范围

### 基础生成能力
- 输入专题 query，调用专题研究接口生成完整报告
- 返回报告标题、正文、文章ID、分享链接及附件路径等结构化字段
- 若返回 `wordBase64/pdfBase64`，自动解码保存为本地 `.docx/.pdf` 附件

### 触发规则（何时使用本技能）
- 用户明确要求“专题研究/深度分析/研究报告”
- 研究对象为主题、事件、政策、趋势、跨行业议题
- 典型问法：`东方财富专题研究`、`美联储加息对A股影响`、`AI Agent产业链专题`

### 不触发规则（何时不要使用本技能）
- 用户只问单行业基础研究（应走行业研究技能）
- 用户只问单只股票/基金买卖判断（应走诊断技能）
- 用户要求指标级计算、回测、量化建模（应走量化类能力）

### 触发示例

| 触发（专题研究） | 不触发（其他能力） |
|---|---|
| 东方财富专题研究 | 半导体行业最新景气度（行业研究） |
| 美联储加息对A股影响 | 海康威视值得买吗（个股诊断） |
| 一带一路主题投资机会 | 永赢先锋半导体风险大吗（基金诊断） |
| ChatGPT对教育行业冲击 | 丹化科技MACD是否金叉（指标计算） |

## 前提条件

### 1. 注册东方财富妙想账号

访问 https://ai.eastmoney.com/mxClaw 注册账号并获取 API Key。

### 2. 配置 Token

```bash
# macOS 添加到 ~/.zshrc，Linux 添加到 ~/.bashrc
export EM_API_KEY="your_api_key_here"
```

然后根据系统执行对应的命令：

**macOS：**
```bash
source ~/.zshrc
```

**Linux：**
```bash
source ~/.bashrc
```

## 快速开始

### 1. 命令行调用

```bash
python3 {baseDir}/scripts/get_data.py --query "东方财富专题研究"
```

**输出示例**
```text
Title: 东方财富日报专题研究报告
ShareUrl: http://aife-test.eastmoney.com:9001/researchShare?shareId=xxx&scene=research
DOCX: /path/to/workspace/topic_research_report/5f14e352-cd8e-4169-9d69-7399f1eb8328_docx.docx
PDF: /path/to/workspace/topic_research_report/5f14e352-cd8e-4169-9d69-7399f1eb8328_pdf.pdf
（随后输出 Markdown 正文内容）
```

**参数说明：**

| 参数 | 说明 | 必填 |
|---|---|---|
| `--query` | 用户原始专题研究问句 | ✅（`--query` 或 stdin 二选一） |
| `--no-save` | 保留参数（兼容旧调用，当前对本技能无影响） | 否 |

注意：禁止调用 任何「后台执行、稍后汇报」的方式跑本脚本，只能在当前会话中同步等待到命令完成，拿到 stdout 的结果后再继续，否则会导致本 Skill 失败。

### 2. 代码调用

```python
import asyncio
from pathlib import Path
from scripts.get_data import generate_topic_research_report

async def main():
    result = await generate_topic_research_report(
        query="东方财富专题研究",
        output_dir=Path("workspace/topic_research_report"),
        save_to_file=True,
    )
    if "error" in result:
        print(result["error"])
    else:
        print(result["title"])
        print(result["share_url"])
        print(result["content"])
        if result.get("output_path"):
            print("已保存至:", result["output_path"])

asyncio.run(main())
```

## 输出文件说明

| 文件 | 说明 |
|---|---|
| `<articleId>_docx.docx` | 由 `wordBase64` 解码得到的 Word 附件（若返回） |
| `<articleId>_pdf.pdf` | 由 `pdfBase64` 解码得到的 PDF 附件（若返回） |

## 返回字段说明

- `title`：报告标题（来源于 `data.title`）。
- `article_id`：报告 ID（来源于 `data.articleId`）。
- `share_url`：报告分享链接（来源于 `data.shareUrl`）。
- `content`：

_meta.json

{
  "ownerId": "kn7b4ptpdag877t9kmq8axyja182taab",
  "slug": "topic-research-report",
  "version": "1.0.1",
  "publishedAt": 1777022479907
}

skill-card.md

## Description:

Generates structured thematic research reports from natural-language queries for topics, events, policies, investment themes, cross-industry impacts, and trend analysis.

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:

External users and analysts use this skill to request deep thematic research reports on events, policies, market themes, technology trends, and cross-industry questions. The skill calls EastMoney's thematic research service and returns report content, a share link, and generated attachments when available.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Research queries are sent to EastMoney using EM_API_KEY.

Mitigation: Install only when this external API use is acceptable, and handle EM_API_KEY as a secret that is not written to code, prompts, logs, or output files.

Risk: Generated DOCX/PDF attachments from the remote service can be saved locally, including when users expect non-persistent behavior from --no-save.

Mitigation: Do not rely on --no-save for non-persistent operation until fixed, and avoid opening generated attachments unless the API source is trusted.

Risk: Financial or thematic research output can be incomplete, delayed, or unsuitable as investment advice.

Mitigation: Present report content as reference material, include risk notice language, and return explicit errors instead of inventing conclusions when the service fails.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/financial-ai-analyst/skills/topic-research-report)
- [Financial AI Analyst publisher profile](https://clawhub.ai/user/financial-ai-analyst)
- [EastMoney Miaoxiang service](https://ai.eastmoney.com/mxClaw)

## Skill Output:

**Output Type(s):** [text, markdown, files, shell commands, guidance]

**Output Format:** [Markdown report text with share-link text and optional local DOCX/PDF file paths]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires EM_API_KEY and may save generated DOCX/PDF attachments locally when the EastMoney API returns them.]

## Skill Version(s):

1.0.1 (source: server release evidence)

## 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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