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/commands/weather-orchestrator.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/commands/rongxinzy/claude-code-best-practice-zh/weather-orchestrator)<a href="https://agentmods.dev/commands/rongxinzy/claude-code-best-practice-zh/weather-orchestrator"><img src="https://agentmods.dev/badge/commands/rongxinzy/claude-code-best-practice-zh/weather-orchestrator/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/commands/rongxinzy/claude-code-best-practice-zh/weather-orchestrator"><img src="https://agentmods.dev/badge/commands/rongxinzy/claude-code-best-practice-zh/weather-orchestrator.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 | $0.00012 | $0.00424 |
| Opus 5 | $0.00006 | $0.00212 |
| Sonnet 5 | $0.00002 | $0.00085 |
| Haiku 4.5 | $0.00001 | $0.00042 |
Grade A, and why
weather-orchestrator 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 12d 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
Weather Orchestrator 命令
获取阿联酋迪拜的当前温度并创建一个可视化的 SVG 天气卡片。
工作流
步骤 1: 询问用户偏好
使用 AskUserQuestion 工具询问用户希望温度以摄氏度还是华氏度显示。
步骤 2: 获取天气数据
使用 Task 工具调用天气代理：
- subagent_type: weather-agent
- description: 获取迪拜天气数据
- prompt: 获取阿联酋迪拜的当前温度，单位为[用户要求的单位]。返回数值温度值和单位。该代理预加载了一个技能（weather-fetcher），提供详细说明。
- model: haiku
等待代理完成并返回温度值和单位。
步骤 3: 创建 SVG 天气卡片
使用 Skill 工具调用 weather-svg-creator 技能：
- skill: weather-svg-creator
该技能将使用步骤 2 中的温度值和单位（在当前上下文中可用）来创建 SVG 卡片并写入输出文件。
关键要求
- 使用 Task 工具调用代理：不要使用 bash 命令来调用代理。必须使用 Task 工具。
- 使用 Skill 工具调用 SVG 创建器：通过 Skill 工具调用 SVG 创建器，而不是 Task 工具。
- 传递用户偏好：在调用代理时包含用户的温度单位偏好。
- 顺序执行：完成每一步后再进入下一步。
输出摘要
向用户提供清晰的摘要，显示：
- 请求的温度单位
- 从迪拜获取的温度
- SVG 卡片创建于
orchestration-workflow/weather.svg - 摘要写入
orchestration-workflow/output.md
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.
- 12d ago First seen · 47 lines · 12 tokens per session scan A e5ba0ce3631a
weather-orchestrator is a command published in the GitHub repository rongxinzy/claude-code-best-practice-zh (6 stars, last pushed 5mo ago), licensed MIT. It adds 12 tokens to every session and 424 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 2026-08-31.
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