Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add qingkongzhiqian/groundapi --skill groundapi-anomaly-trackergit clone --depth 1 https://github.com/qingkongzhiqian/groundapiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/qingkongzhiqian/groundapi/groundapi-anomaly-tracker)<a href="https://agentmods.dev/skills/qingkongzhiqian/groundapi/groundapi-anomaly-tracker"><img src="https://agentmods.dev/badge/skills/qingkongzhiqian/groundapi/groundapi-anomaly-tracker/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/qingkongzhiqian/groundapi/groundapi-anomaly-tracker"><img src="https://agentmods.dev/badge/skills/qingkongzhiqian/groundapi/groundapi-anomaly-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00942 |
| Opus 5 | $0.00018 | $0.00471 |
| Sonnet 5 | $0.00007 | $0.00188 |
| Haiku 4.5 | $0.00004 | $0.00094 |
Grade A, and why
groundapi-anomaly-tracker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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,获取技术和行情数据:
finance_stock(symbol="XXXXXX", aspects="technical,quote,kline")
关键看:
technical.signals— 技术信号列表(金叉/死叉/超买超卖等)technical.macd/technical.ma/technical.kdj— 技术指标quote.volume_ratio— 量比quote.change_pct/quote.turnover_rate— 涨跌幅与换手率
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
- 换手率:X.X%
- 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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 112 lines · 37 tokens per session scan A eaeb93bd846f
groundapi-anomaly-tracker is a skill published in the GitHub repository qingkongzhiqian/groundapi (0 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 942 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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