Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ShuaiMXu/mv-skills-bundlenpx agentmods add skills/shuaimxu/mv-skills-bundle/ai-tech-wechat-writerWrote 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/shuaimxu/mv-skills-bundle/ai-tech-wechat-writer)<a href="https://agentmods.dev/skills/shuaimxu/mv-skills-bundle/ai-tech-wechat-writer"><img src="https://agentmods.dev/badge/skills/shuaimxu/mv-skills-bundle/ai-tech-wechat-writer/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/skills/shuaimxu/mv-skills-bundle/ai-tech-wechat-writer"><img src="https://agentmods.dev/badge/skills/shuaimxu/mv-skills-bundle/ai-tech-wechat-writer.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 | $0.00181 | $0.01648 |
| Opus 5 | $0.00090 | $0.00824 |
| Sonnet 5 | $0.00036 | $0.00330 |
| Haiku 4.5 | $0.00018 | $0.00165 |
Grade A, and why
ai-tech-wechat-writer 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
微信公众号 · 排版发布技能
本技能将用户提供的内容整合为公众号风格的精美 HTML。 设计规则来自
shaka-design-system（共享设计系统），本技能只维护公众号业务特定结构。
📐 设计系统引用（必读）
在生成 HTML 前，必须先读共享设计系统的三个文件：
-
主题配色：
~/.claude/skills/shaka-design-system/references/themes.md→ 5 套主题（🖋墨水经典 / 🌊靛蓝瓷 / 🌿森林墨 / 🍂牛皮纸 / 🌙沙丘） → AI 日报默认用 🌊 靛蓝瓷 -
组件库：
~/.claude/skills/shaka-design-system/references/components.md→ callout / stat / pillar / tag / section-header / figure / rowline → 使用"内联 Style 版"（公众号编辑器会剥离 class） -
字体层级：
~/.claude/skills/shaka-design-system/references/fonts.md→ 衬线标题 / 无衬线正文 / 等宽装饰 -
设计原则：
~/.claude/skills/shaka-design-system/references/principles.md→ 特别关注"原则 3：节奏优于元素"应用到公众号段落交替
📋 固定模板结构（公众号业务约束）
发布到公众号的文章必须使用以下 5 段式结构：
📰 今日AI头条（1条 S级情报） ← Section Header + Callout
🔥 行业要闻（2-3条 A级情报） ← Section Header + Pillar(3柱) 或 Rowline
🚀 产品动态（1-2条工具/模型更新） ← Section Header + Stat 矩阵
💡 观点短评（Shaka的视角总结） ← Section Header + Callout（带 cite）
🔍 明日预告（留钩子引导关注） ← Section Header + 轻量 Tag 列表
段落组件映射见 references/layouts.md。
📜 内容规范
- 去掉「Shaka简评」，只保留客观叙事（但"观点短评"段可以有主观判断）
- 每条情报只保留出处（如：📡 来源：量子位），不要附带链接
- 不要加粗「Shaka说」「Shaka简评」等主观标签
- H1 标题在 Markdown 中用注释替代，发布时在公众号后台填写
- 封面图：AI 生成科技感封面
⚡ 执行流程
步骤 1：获取文章素材
素材来源按优先级：
- 用户在当前对话中直接提供的内容
- 用户指定的本地文件（使用 Read 工具读取）
- 会话上下文中已有的素材
不要主动去抓取新闻源。若素材不足，先向用户确认补充。
步骤 2：问用户选主题（或推荐）
默认 🌊 靛蓝瓷（AI/科技调性最匹配）。只有用户明确要求换（"这次想轻松点" / "文化类内容"等），才从其他 4 套主题挑选。不允许自定义 hex——引导用户从 5 套预设选。
步骤 3：对齐段落节奏（按 principles.md 原则 3）
为防审美疲劳，5 段式段落背景应交替（以靛蓝瓷为例）：
| 段 | 背景 | 视觉层级 |
|---|---|---|
| 📰 今日AI头条 | 深段（paper-tint） | 视觉重点，震撼开头 |
| 🔥 行业要闻 | 浅段（paper） | 阅读松驰 |
| 🚀 产品动态 | 深段（paper-tint） | 数据密度 |
| 💡 观点短评 | 浅段（paper）+ callout 深 | 阅读松驰 |
| 🔍 明日预告 | 浅段（paper） | 收尾轻盈 |
步骤 4：生成 HTML
按 references/layouts.md 的组件映射，组装完整 HTML。
工作目录：/tmp/wechat_article_YYYY-MM-DD.html
颜色替换：
- 从
shaka-design-system/themes.md读取选定主题的 CSS 变量 - 在本 skill 的
assets/template.html基础上替换（或直接内联）
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.
- 11d ago First seen · 132 lines · 181 tokens per session scan A 768e02413fe8
ai-tech-wechat-writer is a skill published in the GitHub repository ShuaiMXu/mv-skills-bundle (10 stars, last pushed 3mo ago), licensed MIT. It adds 181 tokens to every session and 1,648 once invoked, about $0.0009 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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