Wanwu is an enterprise platform for building AI agents, workflows, retrieval-augmented applications, and managing models in multi-tenant environments. It is designed for developers and enterprise teams delivering AI applications and integrations. The catalogue entries provide skills and agents for using the platform.
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.
npx agentmods add skills/unicomai/wanwu/wechat-article-pronpx skills add UnicomAI/wanwu --skill wechat-article-progit clone --depth 1 https://github.com/UnicomAI/wanwuWrote 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/unicomai/wanwu/wechat-article-pro)<a href="https://agentmods.dev/skills/unicomai/wanwu/wechat-article-pro"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/wechat-article-pro.svg" alt="Measured on agentmods" 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 | $0.00083 | $0.01053 |
| Opus 5 | $0.00042 | $0.00526 |
| Sonnet 5 | $0.00017 | $0.00211 |
| Haiku 4.5 | $0.00008 | $0.00105 |
Grade A, and why
wechat-article-pro 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 2d 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
微信公众平台文章发布 Skill (专业版)
功能
- 联网搜索热点 - 自动获取主题相关热点信息
- 深度文章 - 撰写3000-5000字有深度的文章
- AI配图封面 - 使用公众号自带的AI配图功能生成封面
- 自动上传 - 直接在公众号后台完成封面生成和上传
- 刘润风格 - 参考刘润公众号的写作风格
- 自动排版 - 合理的段落结构和标题层次
- 无话题 - 文章末尾不加任何话题标签
写作风格参考：刘润公众号
刘润写作特点
- 开篇切入：从一个具体的商业案例、故事或现象切入
- 引入洞察：引出一个独特的商业观点或洞察
- 案例论证：用2-3个真实商业案例来论证观点
- 数据支撑：适当引用数据和事实
- 结论建议：最后给出明确的结论和行动建议
- 语言风格：
- 语言简洁有力，不啰嗦
- 逻辑清晰，层层递进
- 很少使用emoji
- 段落较短，每段一个观点
- 善用小标题分隔章节
- 观点鲜明，敢于下结论
结构建议
# 大标题（文章核心观点）
## 小标题1：第一个分论点
- 案例/故事
- 分析
- 结论
## 小标题2：第二个分论点
- 案例/故事
- 分析
- 结论
## 小标题3：第三个分论点
- 案例/故事
- 分析
- 结论
## 总结
- 核心观点回顾
- 行动建议
禁止事项
- ❌ 文章末尾禁止加任何话题标签（如 #xxx）
- ❌ 禁止使用大量emoji
- ❌ 禁止用"欢迎在评论区分享"这类话结尾
执行流程
步骤 1: 搜索热点
使用 web_fetch 搜索主题相关热点信息。
步骤 2: 写刘润风格文章
根据以下模板撰写3000-5000字文章：
开篇（200-300字）
- 描述一个商业现象/事件
- 引发思考
正文（2500-4000字）
- 3-4个小标题
- 每个小标题下：案例 + 分析 + 结论
- 案例要有细节，数据要准确
总结（200-300字）
- 核心观点一句话概括
- 行动建议
步骤 3: 打开编辑页面
- 打开微信公众号首页：https://mp.weixin.qq.com/
- 在首页「新的创作」下面找到「文章」
- 点击「文章」
步骤 4: 输入标题
输入用户给定的主题或AI生成的相关标题。
步骤 5: 写正文
使用合理的小标题分层，段落简洁。
步骤 6: AI配图上传封面
- 点击封面区域 - "拖拽或选择封面"
- 选择 AI配图
- 输入封面描述 - 主体+场景+风格
- 点击开始创作
- 等待生成
- 点击使用
- 确认封面
步骤 7: 保存草稿
直接点击「保存」按钮，将文章保存到草稿箱即可。
注意事项
- 必须登录 - 需要用户已登录微信公众平台
- AI配图需要时间 - 等待20-60秒
- 文章字数 - 3000-5000字
- 禁止话题 - 末尾绝对不要加任何 #标签
- 刘润风格 - 简洁、有观点、有案例、有结论
What ships with it
2 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.
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.
- 2d ago First seen · 116 lines · 83 tokens per session scan A 6d18b0356c8d
wechat-article-pro is a skill published in the GitHub repository UnicomAI/wanwu (2,458 stars, last pushed yesterday), licensed Apache-2.0. It adds 83 tokens to every session and 1,053 once invoked, about $0.0004 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 2026-09-03.
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