天气查询

天气查询 is a skill for Claude Code, Codex from wanmol/goal-flow. It costs 10 tokens per session (207 once invoked), scanned A, original, MIT.

A weather lookup tool for cities in mainland China. It uses a third-party weather service to return current temperature, humidity, and conditions, with possible delays of up to 10 minutes.

In plain words
What is it for?
Use it to answer questions about today’s weather in mainland Chinese cities, including temperature, humidity, conditions, and wind.
Why use it?
It avoids manually checking a weather service when someone asks about the current weather in a supported city.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/wanmol/goal-flow/weather_query
Any agent
npx skills add wanmol/goal-flow --skill weather_query
Clone the repo
git clone --depth 1 https://github.com/wanmol/goal-flow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for 天气查询

README.md
[![agentmods](https://agentmods.dev/badge/skills/wanmol/goal-flow/weather_query.svg)](https://agentmods.dev/skills/wanmol/goal-flow/weather_query)
Your own site
<a href="https://agentmods.dev/skills/wanmol/goal-flow/weather_query"><img src="https://agentmods.dev/badge/skills/wanmol/goal-flow/weather_query.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 207 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00010 $0.00207
Opus 5 $0.00005 $0.00103
Sonnet 5 $0.00002 $0.00041
Haiku 4.5 $0.00001 $0.00021

Measured 5d ago against content hash 62caa9faa1a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

天气查询 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/weather_api.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/weather_query/SKILL.md · 30 lines

What it actually says

概述

该技能通过调用第三方天气 API,获取指定城市的实时天气数据。

使用指南

  • 触发条件:用户询问"今天天气怎么样"、"北京天气"等
  • 输入:城市名称(必需)
  • 输出:返回温度、湿度、天气状况等信息

示例对话

用户:上海今天天气怎么样? 助手:上海今天晴,气温 25°C,湿度 60%,东南风 3 级。

限制

  • 仅支持中国大陆城市
  • 数据可能有 10 分钟延迟
Files

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.

Changes

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.

  1. 5d ago First seen · 30 lines · 10 tokens per session scan A 62caa9faa1a4

Subscribe to this mod's changes

天气查询 is a skill published in the GitHub repository wanmol/goal-flow (134 stars, last pushed 22d ago), licensed MIT. It adds 10 tokens to every session and 207 once invoked, about $0.0001 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 2026-08-30.

Related

Other skills, from other repositories

Apple Notes

Open Notes.app and create or update iCloud notes on macOS using memo when possible and AppleScript when direct app automation is more reliable.

agentic-in/elephant-agent · 31 tokens

GIF Search

Search and download reaction GIFs through the Tenor API using curl and jq when the user wants lightweight media retrieval.

agentic-in/elephant-agent · 26 tokens

tcapi

Skill to call Cloud API for Tencent Cloud (腾讯云). Used for cloud automation or resource management. 当用户需要查询、创建、管理腾讯云资源,或执行云 API 自动化操作时触发。优先使用 Octop 自带 venv 中的 tccli,凭证支持全自动 OAuth 登录。.

TencentCloud/Octop · 68 tokens

skillpack-creator

Create a reusable SkillPack from a successful completed task. Use when the user wants to convert a one-off research, coding, analysis, or content workflow into a distributable local SkillPack with skillpack.json, local skills under skills/, starter prompts, start scripts, and an optional zip package.

CreminiAI/skillpack · 67 tokens

skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

CreminiAI/skillpack · 64 tokens

release-cut

Cut a new pi-agent-dashboard release: promote ## [Unreleased] in CHANGELOG.md, bump every workspace package.json per SemVer, commit, tag v , and push — triggering the Release workflow that publishes every non-private workspace, builds the Electron artifacts, and creates a GitHub Release. Use on "cut a release"…

BlackBeltTechnology/pi-agent-dashboard · 93 tokens