F

Fund News Summary

Professionalv1.0.4
By yonghaozhao722Updated 2026-09-30fund-news-summary@clawhub_yonghaozhao722/fund-news-summary
FinanceIndustry Research

According to AlphaMoat, as of 2026-09, Fund News Summary has 1,951 downloads and 0 stars — ranked #4,464 of 5,078 AI skills overall, and #392 of 465 in Professional.

Installs
120
Downloads
2.0K
Stars
-
Overall Rank
#4,464
Top 88% overall · Top 85% in Professional
PlatformInstallsDownloadsStarsComments
SkillHub ↗1202.0K-—

Platforms count differently. AlphaMoat’s totals use the higher figure across platforms, not the sum.

What this skill does

Collects configured topics across US, European and Japanese markets, gold and prediction markets. The source includes Telegram delivery, Obsidian storage and GitHub pushes, and describes continuing when an individual source fails.

Profile published 2026-10-26

What you can do with it

  • Organize news for fund-related watch topics

When to use it

  • When a briefing should follow configured market themes

Example prompts

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

Summarize fund-related news for these markets

Requirements

Compiled from what the skill’s documentation declares; not verified by installing or running it.

Required command-line tools
python3
Configuration
  • Review configured fund keywords, local directories and report destinations before reuse.

Monthly Trend

Installs120
96109122Current methodLegacy method2026-03 · Installs 98 (Legacy method)2026-05 · Installs 120 (Legacy method)2026-06 · Installs 120 (Legacy method)2026-07 · Installs 120 (Legacy method)2026-08 · Installs 120 (Legacy method)2026-09 · Installs 12026-0326-09
Downloads2.0K
6711.4K2.0KCurrent methodLegacy method2026-03 · Downloads 766 (Legacy method)2026-05 · Downloads 1.3K (Legacy method)2026-06 · Downloads 1.5K (Legacy method)2026-07 · Downloads 1.7K (Legacy method)2026-08 · Downloads 1.9K (Legacy method)2026-09 · Downloads 2.0K26-0326-09
Stars-
-11Current methodLegacy method2026-03 · Stars - (Legacy method)2026-05 · Stars - (Legacy method)2026-06 · Stars - (Legacy method)2026-07 · Stars - (Legacy method)2026-08 · Stars - (Legacy method)2026-09 · Stars -26-0326-09

From 2026-09 the figures use the current method (full catalog). Earlier months use the legacy method (only skills with installs, same-name skills merged). The two are not directly comparable, so the chart does not connect them or compute growth across them.

MonthDownloadsMoMStarsInstalls
2026-092.0K—-120
2026-08Legacy method1.9K+7.7%-120
2026-07Legacy method1.7K+16.4%-120
2026-06Legacy method1.5K+11.5%-120
2026-05Legacy method1.3K—-120
2026-03Legacy method766—-98

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.

Show original (3.1 KB · SkillHub v1.0.4)
---
name: fund-news-summary
description: Automatically collects and summarizes the latest core news for US, Europe, Japan stock markets, gold, and prediction markets. Use when user asks about fund news, market updates, investment research, or daily financial summaries. Also triggered automatically via cron job at 11:00 Beijing Time daily.
---

# Fund News Summary Skill

## Purpose

Automatically collects and summarizes the latest core news for specified funds across multiple markets.

## Supported Markets

- **US Markets**: NASDAQ, S&P 500
- **Europe**: European equity markets
- **Japan**: Japanese stock market
- **Commodities**: Gold
- **Prediction Markets**: Polymarket and prediction market news

## Execution

### Automatic (Cron Job)

This skill is bound to the `DailyFundNews` cron job, executing automatically at **11:00 Beijing Time** daily.

### Manual Trigger

User can ask:
- "Get today's fund news"
- "Show market updates"
- "What's the latest on my funds?"
- "Run fund news summary"

When triggered, the Agent should:

1. **Run the script**: `python3 /root/clawd/skills/fund-news-summary/fund_news.py`
2. **Read output**: The script automatically generates a report and outputs to stdout
3. **Send to Telegram**: Send the script output directly to Telegram

## Script Features

- ✅ **Multi-market coverage**: US, Europe, Japan, Gold, Polymarket
- ✅ **Rate limiting**: Maximum 2 concurrent searches, 1.5 second request interval
- ✅ **Retry mechanism**: Automatic retry on rate limit
- ✅ **Error handling**: Individual fund failures don't affect others
- ✅ **Formatted output**: Bold list format
- ✅ **Obsidian sync**: Saves Chinese version to Obsidian
- ✅ **Auto GitHub push**: Automatically pushes to GitHub after generation

## Fund Configuration

The script has built-in keywords for:
- 华宝纳斯达克精选股票 (QDII)C
- 摩根欧洲动力策略股票 (QDII)A
- 摩根日本精选股票 (QDI)A
- 易方达黄金 ETF 联接 C
- 标普500 (S&P 500 Index)
- Polymarket / 预测市场

## Error Handling

### Common Issues

**Issue**: Script fails with "Rate limit exceeded"
- **Cause**: Too many requests to search API
- **Solution**: Script has built-in retry with exponential backoff. Wait 5 minutes and retry.

**Issue**: Empty or partial report
- **Cause**: Some fund APIs may be temporarily unavailable
- **Solution**: Check individual fund sources. The script continues even if some funds fail.

**Issue**: GitHub push fails
- **Cause**: Network issue or authentication expired
- **Solution**: Report success/failure in output. User can manually push if needed.

## Output Format

The script outputs a formatted report with:
- Market name and fund name (bold)
- Key news summary with bullet points
- Last updated timestamp

## Data Storage

- **Obsidian save path**: `/root/clawd/obsidian-vault/reports/fund/YYYY-MM-DD.md`
- **Filename format**: `YYYY-MM-DD.md`
- **Language**: Chinese (translated from English API results)
- **GitHub repo**: `https://github.com/YonghaoZhao722/yonghao-notes`
- **Branch**: `master`

## Manual Execution (Debug)

```bash
cd /root/clawd/skills/fund-news-summary
python3 fund_news.py
```
Other files archived by AlphaMoat (fetched selectively, may be incomplete)
  • skill-card.md · 2.1 KB

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