Groundapi Anomaly Tracker

Track A-share market anomalies — limit-up streaks, unusual volume, large capital flows — and drill into individual stocks for detailed analysis. Powered by G...

Security Scan

The skill's requests and instructions match its stated purpose: it is an instruction-only A-share anomaly tracker that needs a single GroundAPI API key to call GroundAPI endpoints and does not request unrelated access.

Purpose & Capability

Name/description (A-share anomaly tracking) aligns with required artifacts: a single API credential (GROUNDAPI_KEY) to call GroundAPI MCP endpoints. No unrelated binaries, credentials, or config paths are requested.

Instruction Scope

SKILL.md instructs the agent to call GroundAPI endpoints (finance_market, finance_stock, finance_market(sectors)) for market signals and stock details. It does not instruct reading arbitrary files, other environment variables, or sending data to unrelated endpoints. The sample MCP config shows the expected API host and X-API-Key header.

Install Mechanism

No install spec and no code files are present (instruction-only). This minimizes on-disk risk; nothing is downloaded or installed by the skill itself.

Credentials

Only one environment variable is required (GROUNDAPI_KEY), which is proportionate to the stated need to authenticate to GroundAPI. There are no additional secrets or unrelated credentials requested.

Persistence & Privilege

always:false and default invocation settings are used. The skill does not request permanent/global presence nor modification of other skills or system-wide settings.

Assessment

This skill is coherent: it only needs a GroundAPI API key to query market signals. Before installing, verify you trust the GroundAPI provider (https://groundapi.net), supply a key with appropriate scope/limits, and ensure you can revoke it if needed. Because the skill will call external APIs, be aware of network activity and any provider data-retention policies. No code is installed to disk, which reduces risk, but treat the API key as a secret and avoid sharing it with untrusted skills/services.

A 股异动追踪助手

当用户询问市场异动、放量股、连板股、资金异动，或类似以下表达时自动触发：

• "今天有什么异动"、"什么股票放量了"
• "连板股有哪些"、"涨停的是什么概念"
• "今天主力买了什么"

前置条件

{
  "mcpServers": {
    "groundapi": {
      "url": "https://mcp.groundapi.net/mcp",
      "headers": {
        "X-API-Key": "sk_gapi_xxxxx"
      }
    }
  }
}

执行流程

Step 1 — 获取异动信号

finance_market(scope="signals") 获取：

• 连续涨停股（2板以上）
• 当日涨幅超 15% 的股票

Step 2 — 获取涨停/炸板详情

finance_market(scope="hot", limit=30) 获取：

• 涨停池（含连板数、封板时间、封板资金、行业）
• 炸板池（曾涨停后打开）
• 连板梯队分层统计

Step 3 — 对异动股深度挖掘

对用户感兴趣的或最显眼的异动股，获取资金和技术数据： finance_stock(symbol="XXXXXX", aspects="flow,technical,quote")

关键看：

• flow.cumulative_main_net — 主力净流入金额
• flow.consecutive_inflow_days — 连续净流入天数
• technical.signals — 技术信号列表
• quote.volume_ratio — 量比

Step 4 — 概念关联分析

对异动股查看所属概念： finance_stock(symbol="XXXXXX", aspects="profile")

看 profile.concepts 和 profile.concept_tags 字段，找出共同概念。

如果多只异动股属于同一概念，说明该概念正在发酵，可以查成分股： finance_market(scope="sectors", sector="概念名")

Step 5 — 输出异动报告

## 市场异动追踪 — {YYYY-MM-DD}

### 异动概览
- 连续涨停：XX 只（最高 X 板）
- 涨幅超15%：XX 只
- 炸板：XX 只

### 连板梯队
| 板数 | 数量 | 股票 | 行业 |
|------|------|------|------|
| 5板 | 1 | XXX | AI |
| 3板 | 3 | XXX, XXX, XXX | 混合 |
| 2板 | 8 | ... | ... |

### 热点概念追踪
今日异动股主要集中在以下概念：
1. **AI 概念**（涨停 X 只）：XXX, XXX
2. **半导体**（涨停 X 只）：XXX

### 重点异动股分析

**XXX（代码）— 连续X板**
- 今日涨幅：+XX%
- 量比：X.X（放量/缩量）
- 封板资金：XX亿
- 近5日主力净流入：XX亿
- 技术信号：（列出 signals）
- 所属概念：XXX, XXX

以上数据基于公开信息，不构成投资建议。

注意事项

• 异动信号基于纯数学定义（涨幅/量比阈值），不含主观判断
• 概念关联分析是事实描述（"该股属于AI概念"），不是归因推测
• 某步数据获取失败时跳过并说明
• 输出语言跟随用户