weather-forecast-report

weather-forecast-report is a skill for Claude Code, Codex from staruhub/ClaudeSkills. It costs 202 tokens per session (1,517 once invoked), scanned A, original, MIT.

A document-writing guide for turning weather forecasting project materials into a formal research report for a provincial natural-science funding project. It organises code, models, results, and charts into the required academic structure.

In plain words
What is it for?
Writing completion reports about single-station forecasts for wind speed, visibility, rainfall, temperature, humidity, or air pressure, including methods, evaluation measures, conclusions, figures, tables, and a Word document.
Why use it?
Technical project files are not automatically a complete research report. This helps assemble them into a consistent document while requiring reported numbers to come from the supplied evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Writing completion reports about single-station forecasts for wind speed, visibility, rainfall, temperature, humidity, or air pressure, including methods, evaluation measures, conclusions, figures, tables, and a Word document.

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Install with agentmods
npx agentmods add skills/staruhub/claudeskills/geek-skills-weather-forecast-report
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.

Any agent
npx skills add staruhub/ClaudeSkills --skill geek-skills-weather-forecast-report
Clone the repo
git clone --depth 1 https://github.com/staruhub/ClaudeSkills

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 weather-forecast-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/staruhub/claudeskills/geek-skills-weather-forecast-report/github.svg)](https://agentmods.dev/skills/staruhub/claudeskills/geek-skills-weather-forecast-report)
Your own site
<a href="https://agentmods.dev/skills/staruhub/claudeskills/geek-skills-weather-forecast-report"><img src="https://agentmods.dev/badge/skills/staruhub/claudeskills/geek-skills-weather-forecast-report/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.

agentmods 80×15 button for weather-forecast-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/staruhub/claudeskills/geek-skills-weather-forecast-report"><img src="https://agentmods.dev/badge/skills/staruhub/claudeskills/geek-skills-weather-forecast-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 202 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,517 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00202 $0.01517
Opus 5 $0.00101 $0.00758
Sonnet 5 $0.00040 $0.00303
Haiku 4.5 $0.00020 $0.00152

Measured 12d ago against content hash af4f866747ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

weather-forecast-report 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.

lab/Geek-skills-weather-forecast-report/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

天气要素专题研究报告生成器

概述

本skill用于将Claude Code + OpenSpec开发的天气要素单站预报系统相关材料(项目文档、模型文件、评估结果等)整理成符合省级自然科学基金项目编写规范的专题研究报告。

工作流程

第一步:材料收集与分析

  1. 识别输入材料类型

    • 项目文档(README、设计文档、API文档等)
    • 模型文件(.pkl、.h5、.pt等)
    • 评估报告(准确率、RMSE、MAE等指标)
    • 代码文件(数据处理、特征工程、模型训练等)
    • 可视化图表(训练曲线、预测对比图等)
  2. 确定天气要素类型

    • 风速预报
    • 能见度预报
    • 降雨量预报
    • 温度预报
    • 湿度预报
    • 气压预报
  3. 提取关键信息

    • 研究背景与科学问题
    • 技术方案与创新点
    • 实验数据与评估指标
    • 结论与应用价值

第二步:报告结构规划

参照 references/report-structure.md 中的详细结构说明,按省级自然科学基金规范组织报告。

第三步:内容撰写

  1. 阅读撰写指南:先阅读 references/writing-guidelines.md
  2. 使用报告模板:参考 assets/report-template.md
  3. 格式规范:遵循 references/format-standards.md

第四步:生成DOCX文档

使用宿主环境中的 docx skill 生成规范的 Word 文档(路径因环境而异,以宿主 skill 系统为准),按本 skill 的格式规范产出最终报告。

关键要求

学术规范性要求

  • 一级标题:黑体四号加粗
  • 二级标题:黑体小四号
  • 正文:宋体小四号,首行缩进2字符
  • 英文与数字:Times New Roman
  • 行距:固定值26-28磅
  • 序号格式:一、(一)、1、(1)、①

内容质量要求

  • 科学性:数据准确、方法严谨、结论可靠
  • 创新性:突出技术创新点和研究贡献
  • 规范性:符合学术写作规范和基金报告要求
  • 完整性:研究逻辑链条完整闭环

图表规范

  • 图表需有编号和标题
  • 表格标题置于表格上方
  • 图片标题置于图片下方
  • 图表应在正文中被引用

验收标准(报告交付前自查)

  • 报告结构与 report-structure.md 的省级基金规范逐节对应,无缺章
  • 所有数据(准确率/RMSE/MAE 等)来自用户提供的评估材料,不编造实验数字
  • 图表全部有编号、标题且在正文中被引用
  • 格式合规:标题字体字号、正文宋体小四、行距、序号格式符合"关键要求"
  • 摘要中英文各约 400 字,关键词 3-5 个

不做什么

  • 不替用户跑模型或生成评估数据——材料不足时列出缺口向用户索取,不虚构
  • 不做气象学结论的对错判断,只负责规范化呈现
  • 非气象/非基金报告的通用学术写作,不强行套用本模板

已知陷阱

陷阱 具体表现 应对
编造实验数据 材料缺指标时用"典型值"补齐 缺口列清单向用户索取;宁可留待补充标注,不虚构
格式细节失守 字体/行距/序号与基金规范不符,评审被打回 生成 docx 后对照"关键要求"逐项核
技术报告腔 把 README 语气直接搬进学术报告 按 writing-guidelines.md 改写为学术表述,图表编号并被正文引用

资源文件说明

文件 用途
references/report-structure.md 省级基金报告详细结构说明
references/writing-guidelines.md 学术写作指南与注意事项
references/format-standards.md 格式规范与排版要求
references/evaluation-metrics.md 气象预报评估指标说明
assets/report-template.md 研究报告Markdown模板

Read the full file on GitHub · 130 lines

Files

What ships with it

5 files 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. 12d ago First seen · 130 lines · 202 tokens per session scan A af4f866747ff

Subscribe to this mod's changes

weather-forecast-report is a skill published in the GitHub repository staruhub/ClaudeSkills (712 stars, last pushed 1mo ago), licensed MIT. It adds 202 tokens to every session and 1,517 once invoked, about $0.0010 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.

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