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-articlegit 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)<a href="https://agentmods.dev/skills/unicomai/wanwu/wechat-article"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/wechat-article/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/unicomai/wanwu/wechat-article"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/wechat-article.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00336 |
| Opus 5 | $0.00014 | $0.00168 |
| Sonnet 5 | $0.00006 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
wechat-article 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 6d 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
微信公众号文章抓取
通过公众号链接获取文章的标题和内容，输出为 Markdown 格式。
Usage
python3 skills/wechat-article/scripts/wechat_article.py '<公众号文章链接>'
输出示例
# 文章标题
**发布时间**: 2026-03-04
**公众号**: 某某公众号
---
文章正文内容...
提取策略
按顺序尝试以下方式：
- r.jina.ai - 第三方内容提取服务（推荐）
- web_fetch - 直接抓取（可能被拦截）
- agent-browser - 浏览器自动化（需要处理验证码）
注意事项
- 微信公众号有反爬虫机制，部分文章可能无法获取
- 需要验证码的文章无法自动处理
- 建议优先使用 r.jina.ai 方式
示例
# 基本使用
python3 skills/wechat-article/scripts/wechat_article.py "https://mp.weixin.qq.com/s/xxx"
# 输出到文件
python3 skills/wechat-article/scripts/wechat_article.py "https://mp.weixin.qq.com/s/xxx" > article.md
What ships with it
3 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.
- 6d ago First seen · 53 lines · 28 tokens per session scan A 2bdf801cb641
wechat-article is a skill published in the GitHub repository UnicomAI/wanwu (2,461 stars, last pushed 5d ago), licensed Apache-2.0. It adds 28 tokens to every session and 336 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 2026-09-03.
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