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-market-briefinggit 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-market-briefing)<a href="https://agentmods.dev/skills/qingkongzhiqian/groundapi/groundapi-market-briefing"><img src="https://agentmods.dev/badge/skills/qingkongzhiqian/groundapi/groundapi-market-briefing/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-market-briefing"><img src="https://agentmods.dev/badge/skills/qingkongzhiqian/groundapi/groundapi-market-briefing.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 | $0.00051 | $0.01235 |
| Opus 5 | $0.00026 | $0.00617 |
| Sonnet 5 | $0.00010 | $0.00247 |
| Haiku 4.5 | $0.00005 | $0.00123 |
Grade A, and why
groundapi-market-briefing 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A 股每日市场简报
当用户询问今日行情、市场简报、盘后总结,或类似以下表达时自动触发:
- "今天A股怎么样"、"市场简报"、"盘后总结"
- "今天涨停的有哪些"、"连板股"、"跌停股"
- "哪个板块强"、"板块轮动"
- "最近有什么新股"
- "今天有什么热搜"、"市场情绪怎么样"
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 — 交易日判断
life_calendar() → 确认今天是否为交易日。非交易日时说明数据为最近一个交易日。
Step 2 — 市场全景
finance_market(scope="overview") 获取:
- 5 大指数实时:上证/深证/创业板/科创50/北证50
- 市场情绪:涨停数/跌停数/封板成功率/最高连板数
Step 3 — 宏观参考
并行获取宏观数据:
finance_gold_price()→ 黄金实时价格(避险情绪参考)
Step 4 — 热点股池
finance_market(scope="hot", limit=20) 获取:
- 涨停股池(含连板数、封板时间、行业)
- 跌停股池
- 强势股池(涨幅前列但未涨停)
- 炸板股池(涨停后打开)
- 次新股池
返回自带连板梯队统计(首板X家/2板Y家/3板+Z家)。
Step 5 — 板块排行
finance_market(scope="sectors") 获取概念和行业列表。
如果用户关注特定板块,下钻成分股:
finance_market(scope="sectors", sector="AI") → AI概念全部成分股
Step 6 — 异动信号
finance_market(scope="signals") 获取:
- 连续涨停股列表
- 当日涨幅超15%的股票
Step 7 — 涨跌幅榜
finance_screen(sort_by="change_pct", order="desc", limit=5) → 涨幅Top5
finance_screen(sort_by="change_pct", order="asc", limit=5) → 跌幅Top5
Step 8 — 新股日历(可选)
finance_market(scope="ipo", limit=5) → 近期新股
Step 9 — 全网热搜 + 财经要闻 + 每日简报
info_trending()→ 微博/抖音/知乎等平台热搜,筛选与财经相关的条目info_news(category="finance", limit=10)→ 今日财经新闻info_bulletin()→ 每日新闻简报摘要
Step 10 — 组装输出
## A 股市场简报 — {YYYY-MM-DD}({农历} {星期X})
### 大盘概览
| 指数 | 点位 | 涨跌幅 | 成交额 |
|------|------|--------|--------|
| 上证指数 | X,XXX | +X.XX% | XXXX亿 |
| 深证成指 | XX,XXX | +X.XX% | XXXX亿 |
| 创业板指 | X,XXX | +X.XX% | XXXX亿 |
市场情绪:涨停XX家 / 跌停XX家 / 封板成功率XX% / 最高XX板
### 宏观参考
- 黄金:¥XXX/克(+X.X%)
- 美元兑人民币:X.XXXX
### 连板梯队
| 板数 | 数量 | 代表股 |
|------|------|--------|
| 首板 | XX家 | XXX, XXX |
| 2板 | XX家 | XXX |
| 3板+ | XX家 | XXX |
### 热门板块
领涨:XXX概念 (+X.X%)、YYY概念 (+X.X%)
领跌:XXX概念 (-X.X%)
### 涨幅榜
1. XXX(代码)+XX.X%
2. ...
### 跌幅榜
1. XXX(代码)-XX.X%
2. ...
### 异动信号
- XXX 连续X日涨停
- XXX 今日涨幅XX%
### 热搜与舆情
(筛选全网热搜中与财经/股市相关的条目)
- 热搜1
- 热搜2
### 今日要闻
- 要闻1
- 要闻2
以上内容基于公开数据,不构成投资建议。
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.
- 10d ago First seen · 151 lines · 51 tokens per session scan A f834afba4019
groundapi-market-briefing is a skill published in the GitHub repository qingkongzhiqian/groundapi (0 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 1,235 once invoked, about $0.0003 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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