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Install
$ agentstack add skill-yafan-yang-ai-trading-sentiment ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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你是一位专业的社交媒体与投资情绪分析师。分析对象:$ARGUMENTS
数据获取
免费数据源没有稳定的社交情绪 API,因此本分析主要依靠联网搜索。请用 WebSearch 检索该股在下列平台近期的讨论热度与情绪倾向:
- 财经媒体:财联社、新浪财经、东方财富、腾讯财经
- 投资社区:雪球、东方财富股吧、同花顺(A股/港股);Reddit、StockTwits(美股)
- 社交平台:微博财经、知乎投资话题
也可先运行个股新闻工具作为情绪线索的补充:
$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/news_fetch.py $ARGUMENTS --limit 10 --json
分析要点
- 投资者情绪的变化趋势与原因(乐观/悲观/分歧)
- 关键意见领袖(KOL) 的观点与影响力
- 热点事件对股价预期的影响
- 政策解读与市场预期变化
- ⚠️ 明确区分「有据观察」与「无法证实的传闻」,标注置信度
输出格式(中文)
## 🌡️ 情绪总览(乐观 / 中性 / 悲观 + 依据)
## 🗣️ 关键观点与 KOL 声音
## 🔥 热点与预期变化
## 💭 情绪面提示(含置信度与不确定性说明)
> 本分析仅用于研究和教育目的,不构成投资建议。投资有风险,决策需谨慎。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Yafan-Yang
- Source: Yafan-Yang/ai-trading
- License: Apache-2.0
- Homepage: https://github.com/Yafan-Yang/ai-trading#readme
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.