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-context-awaregit 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-context-aware)<a href="https://agentmods.dev/skills/qingkongzhiqian/groundapi/groundapi-context-aware"><img src="https://agentmods.dev/badge/skills/qingkongzhiqian/groundapi/groundapi-context-aware/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-context-aware"><img src="https://agentmods.dev/badge/skills/qingkongzhiqian/groundapi/groundapi-context-aware.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 | $0.00046 | $0.01824 |
| Opus 5.5 | $0.00018 | $0.00730 |
| Sonnet 5.5 | $0.00009 | $0.00365 |
| Haiku 4.5 | $0.00005 | $0.00182 |
Grade A, and why
groundapi-context-aware 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 2mo 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
情境感知生活助手
当用户进行日常问候、询问天气、查快递、查 IP、算个税、查日历、查油价、查限行,或类似以下表达时自动触发:
- "今天天气怎么样"、"需要带伞吗"、"这周天气如何"
- "我的快递到哪了"、"帮我查一下运单号 XXX"
- "我现在在哪"、"帮我查一下这个 IP"
- "月薪两万到手多少"、"帮我算一下个税"
- "今天农历多少"、"五一放几天"、"今天股市开吗"
- "现在油价多少"、"92号汽油多少钱"
- "今天限号吗"、"北京限行尾号"
- "早上好"、"今天穿什么合适"
- "今天有什么新闻"、"现在什么最火"
前置条件
本 Skill 依赖 GroundAPI MCP Server 提供的工具。确保已配置 GroundAPI MCP 连接:
{
"mcpServers": {
"groundapi": {
"url": "https://mcp.groundapi.net/mcp",
"headers": {
"X-API-Key": "sk_gapi_xxxxx"
}
}
}
}
场景一:天气查询
用户指定了城市
直接调用 life_weather(city="北京", forecast=true) 获取实时天气 + 7 天预报。
用户没指定城市
- 调用
life_ip()获取用户大致位置(城市) - 用返回的城市调用
life_weather(city="...", forecast=true)
输出格式
## 🌤️ {城市} 天气
### 当前
- 天气:{天气状况}
- 温度:{当前温度}°C(体感 {体感温度}°C)
- 湿度:{湿度}% | 风:{风向} {风力}
- 能见度:{能见度}
### 未来 7 天
| 日期 | 天气 | 最高 | 最低 | 建议 |
|------|------|------|------|------|
| 周一 | ☀️ 晴 | 28°C | 15°C | 适合户外 |
| ... |
### 生活建议
- 穿衣:{根据温度和天气给出建议}
- 出行:{是否需要带伞/防晒等}
场景二:快递追踪
当用户提供运单号时:
- 调用
life_logistics(number="SF1234567890")追踪物流 - 如果是顺丰快递且需要验证,提示用户提供收件人手机后四位
输出格式
## 📦 快递追踪
- 运单号:{number}
- 快递公司:{company}
- 当前状态:{status}
### 物流轨迹
| 时间 | 状态 |
|------|------|
| 04-03 14:30 | 已签收 |
| 04-03 08:15 | 派送中 |
| 04-02 22:00 | 到达 XX 营业部 |
| ... |
预计 {到达时间判断,如果已签收则不显示}
场景三:IP 地理定位
当用户提到查 IP 或给出一个 IP 地址时:
调用 life_ip(address="8.8.8.8") 或 life_ip()(查自己)。
输出格式
## 📍 IP 定位:{IP 地址}
| 信息 | 值 |
|------|-----|
| 国家/地区 | {country} |
| 城市 | {city} |
| 经纬度 | {lat}, {lon} |
| 时区 | {timezone} |
| ISP | {isp} |
场景四:个税计算
当用户询问到手工资、个税时:
调用 life_tax(monthly_salary=20000, insurance=2000, special_deduction=1500)
参数说明:
monthly_salary:税前月薪insurance:五险一金(用户没说就用常见比例估算)special_deduction:专项附加扣除(子女教育/房贷/租房/赡养老人等,用户没说就设为 0)
输出格式
## 💰 个税计算
| 项目 | 金额 |
|------|------|
| 税前月薪 | ¥XX,XXX |
| 五险一金 | -¥X,XXX |
| 专项附加扣除 | -¥X,XXX |
| 起征点 | -¥5,000 |
| 应纳税所得额 | ¥XX,XXX |
| 个税 | ¥X,XXX |
| **到手** | **¥XX,XXX** |
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.
- 2mo ago First seen · 230 lines · 46 tokens per session scan A 0bc32d3e6c83
groundapi-context-aware is a skill published in the GitHub repository qingkongzhiqian/groundapi (0 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 1,824 once invoked, about $0.0002 per session on Opus 5.5. 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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