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 skills add UnicomAI/wanwu --skill wechat-article-publishergit 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-publisher)<a href="https://agentmods.dev/skills/unicomai/wanwu/wechat-article-publisher"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/wechat-article-publisher.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 | $0.00052 | $0.00616 |
| Opus 5 | $0.00026 | $0.00308 |
| Sonnet 5 | $0.00010 | $0.00123 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
wechat-article-publisher 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 4d 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.
This is a copy
100% identical to wechat-article-publisher — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
WeChat Article Publisher
何时使用
当用户明确要求以下任一任务时触发本 skill：
- 把本地
.md文章发布到微信公众号 - 把网页链接（博客/新闻页）提取后发布到微信公众号
- 需要统一微信排版模板（
standard或viral）并自动生成封面 - 需要程序化输出
media_id、publish_id、发布状态
工作流
- 准备配置：
- 编辑本目录
config.json，仅需填写：wechat.app_id、wechat.app_secret、wechat.author
- 编辑本目录
- 安装依赖：
python scripts/publish_wechat.py --install
- 预览（不调用微信接口）：
python scripts/publish_wechat.py <输入> --dry-run
- 创建草稿：
python scripts/publish_wechat.py <输入>
- 直接提交发布（可选）：
python scripts/publish_wechat.py <输入> --publish --status
<输入> 支持：
- 本地 Markdown 文件路径
http:///https://网页 URL
命令参数
主脚本：scripts/publish_wechat.py
input：Markdown 文件路径或网页 URL--config：配置文件路径，默认本 skill 的config.json--template：覆盖模板，standard|viral--author：覆盖作者--source-url：覆盖原文链接--cover-image：指定本地封面图--dry-run：仅提取+渲染，不调微信 API--publish：草稿创建后调用freepublish/submit--status：提交发布后查询一次发布状态
执行约束
- 发布前优先做
--dry-run，检查标题、摘要和渲染 HTML。 - 如果账号无
freepublish权限，--publish可能返回48001，此时保留草稿手动发布。 - 若创建草稿时报
41005 media data missing，请通过--cover-image指定封面图。
输出结果
脚本标准输出 JSON，关键字段：
draft_media_idpublish_id（仅--publish）status（仅--status）preview_html（仅--dry-run）
What ships with it
7 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.
- 4d ago First seen · 63 lines · 52 tokens per session scan A 6dbe950b6611
wechat-article-publisher is a skill published in the GitHub repository UnicomAI/wanwu (2,461 stars, last pushed 4d ago), licensed Apache-2.0. It adds 52 tokens to every session and 616 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to wechat-article-publisher, differing in 0 lines, and is treated as a copy.
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