wenzi

iFinD投研-金融资讯搜索

Knowledgev1.0.1
By wenziUpdated 2026-05-112 versions · latest released 2026-03-26ifind-repilot-news-search@clawhub_wenzisay/ifind-repilot-news-search
Knowledge Base Q&AInformation Retrieval#News#新闻#金融

According to AlphaMoat, as of 2026-09, iFinD投研-金融资讯搜索 has 1,960 downloads and 1 stars — ranked #4,459 of 5,078 AI skills overall, and #393 of 442 in Knowledge.

Installs
246
Downloads
2.0K
Stars
1
Overall Rank
#4,459
Top 88% overall · Top 89% in Knowledge
PlatformInstallsDownloadsStarsComments
ClawHub ↗25975--
SkillHub ↗2462.0K1—

Platforms count differently and update at different times.

What this skill does

Search market-wide financial news, sentiment, and market updates from a natural-language question, returning relevant snippets for research. Results may be incomplete or outdated; verify publication date, source, and context, and do not treat snippets as full reports or investment advice.

Profile published 2026-10-27

What you can do with it

  • Search financial news from a question
  • Organize market and industry leads

When to use it

  • When finding financial news or company sentiment
  • When checking source and publication time

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Search for news related to this question and show the source and date for each item.
Summarize findings, distinguish facts from commentary, and do not give trading advice.

Monthly Trend

Downloads2.0K
2531.2K2.1K2026-03 · Downloads 3792026-05 · Downloads 8292026-06 · Downloads 9782026-07 · Downloads 1.2K2026-08 · Downloads 1.5K2026-09 · Downloads 2.0K26-0326-09
Stars1
0112026-03 · Stars -2026-05 · Stars 12026-06 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-092.0K—1
2026-081.5K+20.2%1
2026-071.2K+25.2%1
2026-06978+18.0%1
2026-05829—1
2026-03379—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

5.2 KB · ClawHub v1.0.1
---
name: ifind-repilot-news-search
description: 通过问句语义化搜索全市场金融资讯(新闻、舆情、市场动态等),返回与问句相关的新闻片段信息。当需要检索金融新闻、市场资讯、行业动态、公司舆情等信息时,使用此 skill。
metadata:  {"openclaw":{"emoji":"📰︎","requires":{"bins":["python3"]}}}
---

## 概述

此 skill 通过自然语言问句查询(向量检索)全市场金融资讯。它调用封装好的 Python 脚本,向同花顺数据接口发送请求,返回与问句相关的新闻列表信息。支持按照时间范围查询。
Show all (139 lines)
## 前置要求

### 环境依赖

- Python 3.x
- 标准库:`json`, `urllib`, `pathlib`
- 无需安装第三方库
- 注1:若 `python3` 命令不可用(常见于 Windows),请改用 `python`
- 注2:`<skill_dir>` 为当前 skill 所在目录的完整路径,请根据当前上下文自动获取。

### 首次配置

首次使用 skill 前,需要先配置认证 token。

1. 提示用户先从飞研平台获取 token。平台地址: https://repilot.51ifind.com/ ,菜单路径:业务管理 -> Skills技能库。
2. 用户提供token后,运行以下命令配置 token:
```bash
python3 <skill_dir>/scripts/fetch_data.py --set-token <your_auth_token>
```
3. 检查 token 是否已配置:
```bash
python3 <skill_dir>/scripts/fetch_data.py --check-token
```

注:配置文件位于:`~/.config/ifind-repilot/config.json`

## 使用方式

### 基本查询

```bash
python3 <skill_dir>/scripts/fetch_data.py "<自然语言查询语句>"
```

### 带时间范围查询

```bash
python3 <skill_dir>/scripts/fetch_data.py "<自然语言查询语句>" --start-date <开始日期> --end-date <结束日期>
```

日期格式:`YYYY-MM-DDTHH:MM:SS`,例如 `2025-01-01T00:00:00`

日期参数可以放在查询语句之前或之后:

```bash
# 方式一:日期参数在前
python3 <skill_dir>/scripts/fetch_data.py --start-date 2025-01-01T00:00:00 --end-date 2026-01-01T00:00:00 "美联储利率政策"

# 方式二:日期参数在后
python3 <skill_dir>/scripts/fetch_data.py "美联储利率政策" --start-date 2025-01-01T00:00:00 --end-date 2026-01-01T00:00:00
```

### 查询示例

| 查询内容 | 命令 |
|---------|------|
| 美联储利率政策 | `python3 <skill_dir>/scripts/fetch_data.py "美联储利率政策"` |
| 同花顺最新资讯 | `python3 <skill_dir>/scripts/fetch_data.py "同花顺"` |
| 2025年美联储利率政策 | `python3 <skill_dir>/scripts/fetch_data.py "美联储利率政策" --start-date 2025-01-01T00:00:00 --end-date 2025-12-31T23:59:59` |


### 返回格式

脚本直接返回查询结果的 JSON 数据,包含以下字段:

| 字段 | 类型 | 说明 |
|------|------|------|
| `total` | int | 检索到的新闻总数 |
| `status_code` | int | 状态码,0表示成功 |
| `status_msg` | string | 状态信息 |
| `data` | array | 新闻列表 |

每条新闻包含以下字段:

| 字段 | 类型 | 说明 |
|------|------|------|
| `title` | string | 新闻标题 |
| `summary` | string | 新闻摘要 |
| `url` | string | 新闻原文链接 |
| `channel` | string | 频道类型 |
| `publish_time` | int | 发布时间(Unix时间戳) |
| `publish_date` | string | 发布时间(格式:YYYY-MM-DD HH:MM:SS) |
| `score` | int | 相关性评分 |
| `extra` | object | 扩展信息(如 `publish_source` 来源) |

返回示例:

```json
{
  "total": 15,
  "status_code": 0,
  "data": [
    {
      "title": "龙虎榜丨同花顺今日涨停,二机构合计净卖出6.41亿元",
      "summary": "11月7日,同花顺今日涨停,成交额132.06亿元...",
      "url": "https://www.jiemian.com/article/11954485.html",
      "channel": "news",
      "publish_time": 1730968311,
      "publish_date": "2024-11-07 16:31:51",
      "score": 100,
      "extra": {
        "publish_source": "界面新闻"
      }
    }
  ],
  "status_msg": "OK"
}
```

### 错误处理

| 错误信息 | 原因 | 解决方法 |
|----------|------|----------|
| `请先配置 auth_token` | 未设置 token | 提示用户获取并发送token,收到token后,运行 `--set-token` 配置 |
| `API HTTP 错误` | 请求失败 | 检查网络或 API 地址 |
| `网络错误` | 无法连接 | 检查网络连接 |
| `API 返回失败` | 接口返回错误 | 查看具体错误信息 |
| `API HTTP 错误: 429` | 触发当日请求限制 | 提醒用户到飞研平台检查用量信息 |
| `API HTTP 错误: 401` | 缺失token或者token无效 | 提醒用户检查token是否正确 |
| `API HTTP 错误: 403` | 没有权限访问接口 | 没有权限访问接口 |

## 执行规则

1. 先判断用户请求或任务是否需要金融资讯检索。
2. 若需要金融资讯检索,根据用户请求内容与思考,生成一个合适的自然语言查询语句作为参数调用脚本。
3. 若请求返回未检索到数据、或者返回的数据不符合期望,可以尝试生成一个新的自然语言查询语句重新查询。
4. 不要编造任何金融资讯。若脚本失败或返回空结果,应明确说明失败原因或未检索到数据。
5. 将脚本输出内容进行重新组织和提炼;保留新闻标题、来源和摘要中的重要数据。
6. 当出现401、403、429错误时,请勿再重试,直接提醒用户skill返回的错误内容。

Popular in Knowledge

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.