Borrowing it
Nothing to install: this file belongs to opencue/cuecards. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/opencue/cuecards/main/.agents/skills/tianqi/SKILL.mdgit clone --depth 1 https://github.com/opencue/cuecardsWrote 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/opencue/cuecards/tianqi)<a href="https://agentmods.dev/skills/opencue/cuecards/tianqi"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/tianqi.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.00750 |
| Opus 5 | $0.00012 | $0.00375 |
| Sonnet 5 | $0.00005 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
tianqi scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
bash scripts/curl.sh 'https://toy1._DOMAIN_/search' -G --data-urlencode 'cityname=黄埔' This is a copy
100% identical to tianqi — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
天气预报
查询中国地区的天气预报,支持15天及逐小时预报、各种生活指数
查询命令
# 搜索城市编号
bash scripts/curl.sh 'https://toy1._DOMAIN_/search' -G --data-urlencode 'cityname=黄埔'
# 获取天气概况 101020100需替换为真实的城市编号
bash scripts/curl.sh 'https://d1._DOMAIN_/weather_index/101020100.html?_=_TIME_'
# 获取站点位置信息 method=stationinfo&areaid=101020100
bash scripts/curl.sh 'https://d7._DOMAIN_/geong/v1/api' -G --data-urlencode 'params={"method":"stationinfo","areaid":"101020100"}'
# 分钟级天气预报,需要先从站点信息中获取经纬度
bash scripts/curl.sh 'https://mpf._DOMAIN_/mpf_v3/webgis/minute?lat=<latitude>&lon=<longitude>&_=_TIME_'
# 返回字段 values:降水量
# 每日天气预报
bash scripts/curl.sh 'https://d1._DOMAIN_/weixinfc/101020100.html?_=_TIME_'
# 返回字段 fa/fb:天气状况代码 fc:最高温度 fd:最低温度 fn:湿度
# 小时级天气预报
bash scripts/curl.sh 'https://d1._DOMAIN_/wap_180h/101020100.html?_=_TIME_'
# 返回字段 ja:天气状况代码 jb:温度 je:湿度 jg:风速 jj:气压
# 气象预警
bash scripts/curl.sh 'https://d1._DOMAIN_/dingzhi/101020100.html?_=_TIME_'
天气状况代码
'00': 晴
'01': 多云
'02': 阴
'03': 阵雨
'04': 雷阵雨
'05': 雷阵雨伴有冰雹
'06': 雨夹雪
'07': 小雨
'08': 中雨
'09': 大雨
'10': 暴雨
'11': 大暴雨
'12': 特大暴雨
'13': 阵雪
'14': 小雪
'15': 中雪
'16': 大雪
'17': 暴雪
'18': 雾
'19': 冻雨
'20': 沙尘暴
'21': 小到中雨
'22': 中到大雨
'23': 大到暴雨
'24': 暴雨到大暴雨
'25': 大暴雨到特大暴雨
'26': 小到中雪
'27': 中到大雪
'28': 大到暴雪
'29': 浮尘
'30': 扬沙
'31': 强沙尘暴
'32': 浓雾
'49': 强浓雾
'53': 霾
'54': 中度霾
'55': 重度霾
'56': 严重霾
'57': 大雾
'58': 特强浓雾
'301': 雨
'302': 雪
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 81 lines · 24 tokens per session scan A 76ca2f9e6b1e
tianqi is a skill published in the GitHub repository opencue/cuecards (5 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 750 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to tianqi, differing in 0 lines, and is treated as a copy.
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