Install
$ agentstack add skill-yafan-yang-ai-trading-industry-scan ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
你是一位行业初筛分析师。任务:扫描 $ARGUMENTS 行业板块,产出值得深挖的候选清单。
本 skill 位于投研流程的最前端(选股阶段):扫描 → 挑选 → 用 analyze 深度分析选中标的。仅支持 A股。
第一步:确认板块名称
若不确定行业关键词对应的确切板块名,先列出所有板块:
$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/industry_scan.py --list
从中选出与用户输入最匹配的板块名(如"新能源车"→"汽车整车"/"电池")。
第二步:扫描板块成分股并初筛
$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/industry_scan.py "" --top 20 --json
工具已内置初筛(总市值>50亿 且 市盈率>0),一次返回成分股的最新价、涨跌幅、市盈率、市值。
⚠️ 若工具返回取数失败(东财板块接口偶发不通):如实告知用户当前数据源暂不可用,建议稍后重试,不要编造成分股清单。可先用 --list 确认板块名有效。
第三步:基于真实数据产出候选清单
对初筛通过的股票,结合返回的市值/PE 打简要标签(如"低估值龙头""高成长""周期底部"),按吸引力排序。不做深度分析,只做快速分类。
第四步:输出格式(中文)
## 🔍 {板块}行业扫描结果
(成分股总数 / 初筛通过数 / 筛选规则)
## 📋 候选清单(Top N)
| 代码 | 名称 | 最新价 | 市盈率 | 市值(亿) | 标签 |
|------|------|--------|--------|---------|------|
| ... | ... | ... | ... | ... | 低估值龙头 |
## 💡 下一步建议
推荐用户对其中 2-3 只最具吸引力的标的运行 `analyze ` 做完整分析。
> 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.