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-a-share-analystgit 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-a-share-analyst)<a href="https://agentmods.dev/skills/qingkongzhiqian/groundapi/groundapi-a-share-analyst"><img src="https://agentmods.dev/badge/skills/qingkongzhiqian/groundapi/groundapi-a-share-analyst/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-a-share-analyst"><img src="https://agentmods.dev/badge/skills/qingkongzhiqian/groundapi/groundapi-a-share-analyst.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 | $0.00054 | $0.01546 |
| Opus 5 | $0.00027 | $0.00773 |
| Sonnet 5 | $0.00011 | $0.00309 |
| Haiku 4.5 | $0.00005 | $0.00155 |
Grade A, and why
groundapi-a-share-analyst 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 9d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A 股个股分析助手
当用户询问某只 A 股股票、指数、ETF，或类似以下表达时自动触发：
- "帮我看看茅台"、"分析一下比亚迪"、"600519 怎么样"
- "平安银行财务怎么样"、"主力在买还是卖"
- "000001 技术面怎么样"、"十大股东是谁"
- "上证指数走势"、"沪深300ETF 现在多少"
- "对比工商银行和建设银行"
前置条件
本 Skill 依赖 GroundAPI MCP Server。确保已配置：
{
"mcpServers": {
"groundapi": {
"url": "https://mcp.groundapi.net/mcp",
"headers": {
"X-API-Key": "sk_gapi_xxxxx"
}
}
}
}
个股分析流程
Step 1 — 定位股票
如果用户给的是名称，先搜索：
finance_stock(keyword="茅台") 确认代码。多只匹配时列出让用户确认。
Step 2 — 获取数据
根据用户关注点选择 aspects 组合。一次调用可传多个 aspects，尽量合并减少调用次数。
快速概览（用户只是随口问"XXX怎么样"）：
finance_stock(symbol="600519", aspects="overview")
深度分析（用户要求完整分析）：
finance_stock(symbol="600519", aspects="quote,profile,technical,financial,holders")
技术面专项：
finance_stock(symbol="600519", aspects="technical,kline", days=60)
基本面专项：
finance_stock(symbol="600519", aspects="financial,holders,events")
对比分析（多股逗号分隔）：
finance_stock(symbol="601398,601939,600036", aspects="quote")
指数/ETF：
finance_stock(symbol="000001.SH", aspects="kline,technical") — 上证指数
finance_stock(symbol="510300", aspects="quote") — 沪深300ETF
同时获取辅助信息（并行调用）：
info_search(query="600519 贵州茅台 最新消息", count=5, recency="oneWeek")→ 近期新闻info_trending()→ 查看该股是否上了全网热搜（舆情参考）life_calendar()→ 确认是否交易日，如非交易日需说明数据时效
深度分析时补充宏观环境：
finance_gold_price()→ 金价（贵金属/避险板块参考）
Step 3 — 可用的 11 个 aspects
| aspect | 用途 | 典型问题 |
|---|---|---|
overview |
快速概览（报价+简介+财务摘要） | "XXX 怎么样" |
profile |
公司全档案/概念/所属指数/股本 | "XXX 是做什么的" |
quote |
最新行情快照/PE/PB/市值/涨跌停 | "现在多少钱" |
kline |
K线（支持 日/周/月，基于本地数据） | "走势图" |
technical |
MACD/MA/BOLL/KDJ + 信号检测（本地计算） | "技术面怎么样" |
financial |
三大报表+季度利润+现金流+分红+业绩预告 | "财报怎么样" |
holders |
十大股东/流通股东/股东数变化/基金持仓 | "十大股东是谁" |
management |
高管/董事/监事名单 | "管理层有谁" |
events |
分红/增发/解禁/业绩预告日历 | "什么时候分红" |
summary |
多维度事实聚合（不含主观结论） | "给我一个全面的数据汇总" |
peers |
同行业对比表（PE/PB/市值排名） | "在银行股里排第几" |
Step 4 — 结构化分析
将数据整合为报告，格式参考：
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.
- 9d ago First seen · 157 lines · 54 tokens per session scan A d68eb06fe0f9
groundapi-a-share-analyst is a skill published in the GitHub repository qingkongzhiqian/groundapi (0 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,546 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.
Other skills, from other repositories
agentservices
Access paid data APIs for AI agents including crypto prices, technical indicators, DeFi yields, on-chain analytics (whale tracking, exchange flows, stablecoin flows), market intelligence (sentiment, trends, competitor analysis, content gaps, ad copy), portfolio intelligence, DeFi strategy optimization, web search and…
aisa-skill
Skill "aisa-skill" from vbkotecha/agentservices-api, covering agentservices — paid apis for ai agents, quick start, install the x402 client, make a paid api call (agent wallet required) and what agents can do.
hithink-finance-symbol
A command-line tool entry for matching stock or index names, short codes, and tickers to their official identifiers. An identifier is the code needed by later market-data commands.
gmgn-wallet-score
Score any wallet address across three angles — profitability (a real track-record score: is this trader actually good?), copy-tradeability (can YOU actually capture what it makes, plus a latency/slippage/gas backtest), and Dev reputation (if it's mostly a token launcher, how trustworthy are its launches) — plus…
gmgn-dev-score
Decide whether a token creator's NEXT launch is safe to buy. Scores a dev address 0-100 on two separate axes — CONDUCT (will he dump on you at open) and POWER (has he ever actually built anything big) — from his full launch history and every trade he made in his own coins, then returns a buy / don't-buy call with a…
ib-collar
Generate tactical collar strategy reports for protecting PMCC positions through earnings or high-risk events. Requires TWS or IB Gateway running locally.