技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 1 · 180 · 0 current installs · 0 all-time installs
⭐ 1
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：77spongebob/alpha-pulse
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill's description and README claim a full scanning/prediction/reporting/notification pipeline, but the package only contains a scanner skeleton and no model, predictor, reporting, or notify code — this mismatch and missing configuration details warrant caution.
目的
The name/description (A股次日短线预测) match the included scanner.py and the SKILL.md's stated dependencies (akshare, pandas, xgboost). However SKILL.md documents many modules (factors.py, predictor.py, filter.py, examples/run_tomorrow.py, notify/report features) that are not present in the file manifest — the actual bundle only contains scanner.py and config.yaml, so the delivered capability is incomplete relative to claims.
说明范围
Runtime instructions tell the agent to run commands like `alpha-pulse predict`/`report`/`notify` and to install dependencies, but there is no code implementing predict/report/notify in the package. SKILL.md also suggests configuring a tushare token for better data but does not declare where/token name or how it is consumed. The scanner.py itself only uses akshare and reads no environment variables or external endpoints beyond akshare, so the i…
安装机制
There is no install spec in the registry (instruction-only). SKILL.md recommends installing Python packages via pip (akshare, pandas, numpy, xgboost) which is a common, expected approach for a Python data tool — no suspicious downloads or obscure URLs are used.
证书
The skill declares no required env vars or credentials. SKILL.md mentions an optional 'tushare token' to improve data quality but does not specify an env var name or how it will be stored/used; config.yaml also references 'token' conceptually but provides no token field. This is a minor inconsistency but not in itself a credential-exfiltration indicator.
持久
The skill does not request persistent or privileged presence (always:false). There is no code that modifies other skill configs or system-wide settings; the package is a local script skeleton and does not attempt to install services or persist credentials.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Alpha Pulse」。简介：提供基于资金面、量价面和技术面多因子模型的A股次日短线涨幅概率Top30股票预测信号和报告生成。。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/77spongebob/alpha-pulse/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# alpha-pulse — A股次日短线收益最大化信号引擎
> 🤖 由 Jarvis 构建 | 专为 T+1 短线交易设计 | 每日收盘后自动生成 30 只高潜力标的
## ✅ 核心能力
| 命令 | 作用 |
|------|------|
| `alpha-pulse scan` | 扫描全市场（~5000只股票），计算10+短线动因因子 |
| `alpha-pulse predict` | 输出次日涨幅概率 Top 30 股票（含信号分、动因摘要） |
| `alpha-pulse report` | 生成 Markdown 报告 + CSV + 图表（可自动打开） |
| `alpha-pulse notify` | 推送信号至 Windows 弹窗/剪贴板/语音 |
## 🔬 短线动因因子（T+1 专属）
1. **资金面**：龙虎榜净买入强度、北向尾盘30分钟流入占比
2. **量价面**：量比 > 3.0 + 涨停封单/成交额 > 0.5
3. **技术面**：5日线上穿10日线 + RSI(6) 从30以下拐头向上
4. **消息面**：当日公告关键词（重组/订单/新品）+ 股吧热度突增
5. **情绪面**：融资余额环比增长 > 2% + 融券余额下降
## 🛡️ 风控规则（自动启用）
- 排除 ST/*ST、*退市风险警示
- 流通市值 < 50亿元 → 过滤
- 单行业持仓 ≤ 3 只（防行业黑天鹅）
- 信号分 < 70 → 不入选
## 📁 目录结构
```
skills/alpha-pulse/
├── SKILL.md
├── lib/
│ ├── __init__.py
│ ├── scanner.py # 数据获取（akshare 优先）
│ ├── factors.py # 因子计算（向量化，高效）
│ ├── predictor.py # 概率模型（含 demo 训练脚本）
│ └── filter.py # 熔断逻辑
├── config.yaml # 日期、阈值、token
└── examples/
└── run_tomorrow.py # 主入口：今日收盘后运行，输出明日信号
```
## ⚙️ 首次使用
1. 安装依赖：`pip install akshare pandas numpy xgboost`
2. （可选）配置 tushare token（提升龙虎榜数据质量）
3. 每日 15:30 后运行：`python skills/alpha-pulse/examples/run_tomorrow.py`
> 💡 提示：你只需说 `alpha-pulse predict`，我就会调用此技能生成信号。
---
**下一步**：我将立即创建 `config.yaml` 和 `lib/scanner.py` 骨架。
你无需操作——除非你想调整某条风控规则或因子权重
继续？
✅ 回复“继续” 或 “custom [需求]”