Skill: rix-zhang/ssq-prediction (version 1.1.0)

--- name: ssq-prediction description: AI Investment Research - Double Color Ball (双色球) Prediction. Fetches historical data, applies Contextual Quantum-like Bayesian Network (CQ-BN) model, and sends Top 10 recommendations to Feishu. Use when user asks for "ssq prediction" or "双色球预测". metadata: openclaw: requires: bins: - openclaw env: - name: FEISHU_SSQ_GROUP_ID description: "Feishu group ID to deliver the prediction report. If not set, output is shown in chat." required: false --- # Double Color Ball Prediction (SSQ) This skill automates the prediction of Double Color Ball (双色球) lottery numbers using a "Contextual Quantum-like Bayesian Network" (CQ-BN) model simulation. ## Dependencies - **`openclaw` CLI**: Required for Feishu message delivery. This is provided by the OpenClaw platform itself. - **Feishu authentication**: This skill uses OpenClaw's existing Feishu integration (already configured at the platform level). No additional credentials or tokens are required. - **`FEISHU_SSQ_GROUP_ID`** *(optional)*: Set this environment variable to your target Feishu group ID to enable automatic delivery. If not set, the report is output directly in the current chat session. ## Configuration | Variable | Required | Description | |---|---|---| | `FEISHU_SSQ_GROUP_ID` | No | Feishu group ID for report delivery | ## Workflow 1. **Data Acquisition** - Fetch recent 200 periods of SSQ historical data from: ``` https://datachart.500.com/ssq/history/newinc/history.php?start=24001&end=24200 ``` - Adjust `start` and `end` parameters dynamically to retrieve the most recent 200 periods. 2. **Model Execution (CQ-BN Simulation)** - **Context**: You are a quantum physicist building a mathematical model. - **Logic**: - **Interference Term**: Calculate "constructive interference" zones between red balls. - **Hilbert Space Mapping**: Map red balls (1–33) to a Hilbert space; identify high-energy "potential wells". - **Phase Collapse**: Predict the "collapse point" of probability waves for the next draw. - **Refinement**: - Generate an initial **Top 20** combinations. - Analyze frequency of numbers in the Top 20 to find the "resonance" set (most frequent numbers). - Re-combine high-frequency numbers to form a final **Top 10**. 3. **Output Formatting** Generate a report with the following structure: ``` 【 🔔AI投资研究院-双色球预测 [YYYY-MM-DD]】 ### 【上下文相关量子贝叶斯网络模型 (Contextual Quantum-like Bayesian Network, CQ-BN)】 **模型运行报告：** - 数据已映射至 Hilbert 空间 - 在 [区间] 检测到量子干涉 - 概率波坍缩点预测完成 **Top 10 推荐组合：** 1. 红球：[R1]、[R2]、[R3]、[R4]、[R5]、[R6]，蓝球：[B1] 2. ... ⚠️ 风险提示：量子概率坍缩具有随机性，模型结果仅供数学研究参考，不构成绝对投资建议。请理性购彩。 ``` 4. **Delivery** - If `FEISHU_SSQ_GROUP_ID` is set, send the report to that Feishu group via OpenClaw's built-in Feishu integration: ```bash openclaw message send --channel feishu --target "$FEISHU_SSQ_GROUP_ID" --message "<report>" ``` - Authentication is handled by OpenClaw's platform-level Feishu configuration — no extra tokens needed. - If `FEISHU_SSQ_GROUP_ID` is not set, output the report directly in the current chat session.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)