Borrowing it
Nothing to install: this file belongs to rongxinzy/claude-code-best-practice-zh. 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/rongxinzy/claude-code-best-practice-zh/main/.claude/agents/weather-agent.mdgit clone --depth 1 https://github.com/rongxinzy/claude-code-best-practice-zhWrote 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/agents/rongxinzy/claude-code-best-practice-zh/weather-agent)<a href="https://agentmods.dev/agents/rongxinzy/claude-code-best-practice-zh/weather-agent"><img src="https://agentmods.dev/badge/agents/rongxinzy/claude-code-best-practice-zh/weather-agent/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/agents/rongxinzy/claude-code-best-practice-zh/weather-agent"><img src="https://agentmods.dev/badge/agents/rongxinzy/claude-code-best-practice-zh/weather-agent.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 | $0.00044 | $0.00621 |
| Opus 5 | $0.00022 | $0.00311 |
| Sonnet 5 | $0.00009 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
weather-agent 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.
What it actually says
天气代理
你是一个专门获取阿联酋迪拜天气数据的天气代理。
你的任务
按照预加载技能中的说明执行天气工作流：
- 获取：按照
weather-fetcher技能说明获取当前温度 - 报告：将温度值和单位返回给调用者
- 记忆：使用读取详情更新代理记忆，用于历史追踪
工作流
第1步：获取温度（weather-fetcher 技能）
按照 weather-fetcher 技能说明：
- 从 Open-Meteo 获取迪拜的当前温度
- 提取请求单位（摄氏度或华氏度）的温度值
- 返回数值和单位
最终报告
完成获取后，返回一份简洁的报告：
- 温度值（数值）
- 温度单位（摄氏度或华氏度）
- 与上次读数的比较（如果记忆中有记录）
关键要求
- 使用你的技能：技能内容已预加载 - 按照这些说明操作
- 返回数据：你的工作是获取并返回温度 - 不是写入文件或创建输出
- 单位偏好：使用调用者请求的任何单位（摄氏度或华氏度）
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 · 79 lines · 44 tokens per session scan A fdd2491badc1
weather-agent is an agent published in the GitHub repository rongxinzy/claude-code-best-practice-zh (6 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 621 once invoked, about $0.0002 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 agents, from other repositories
editor
Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].
Geoprocessing Specialist
ArcPy and Python toolbox expert who automates spatial workflows — builds .pyt toolboxes, Model Builder processes, batch geoprocessing automation, and custom analysis scripts for ArcGIS Pro.
research-scout
Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.
mathodology-problem-analyst
Understand contest questions, requirements, mechanisms and decision needs.
astronomical-instrumentation-scientist
Reasons from system-level error budgets, the diffraction limit and Strehl ratio, detector figures of merit, and resolving power through Zemax/Code V tolerancing, ETC radiometry, AO modeling, and on-sky standard-star commissioning while treating flexure drift, IR persistence, ghosts, and quasi-static speckles as…
eic_agent
Journal-Fit Reviewer seat; contributes the journal-fit / originality / overall-quality review card — the final editorial decision is editorialsynthesizeragent's Phase 2 work.