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 aiworkskills/wechat-article-skills --skill aws-wechat-article-publishgit clone --depth 1 https://github.com/aiworkskills/wechat-article-skillsWrote 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/aiworkskills/wechat-article-skills/aws-wechat-article-publish)<a href="https://agentmods.dev/skills/aiworkskills/wechat-article-skills/aws-wechat-article-publish"><img src="https://agentmods.dev/badge/skills/aiworkskills/wechat-article-skills/aws-wechat-article-publish/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/aiworkskills/wechat-article-skills/aws-wechat-article-publish"><img src="https://agentmods.dev/badge/skills/aiworkskills/wechat-article-skills/aws-wechat-article-publish.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 | $0.00150 | $0.03958 |
| Opus 5 | $0.00075 | $0.01979 |
| Sonnet 5 | $0.00030 | $0.00792 |
| Haiku 4.5 | $0.00015 | $0.00396 |
Grade A, and why
aws-wechat-article-publish 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 5d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
发布
公众号 API 直连发布 —— 图文入草稿箱或直接群发，素材上传、发布前检查一站式完成。
套件说明 · 本 skill 属
aws-wechat-article-*一条龙套件（共 9 个 slug，入口aws-wechat-article-main）。跨 skill 的相对引用依赖同一skills/目录，建议一并clawhub install全套。源码：https://github.com/aiworkskills/wechat-article-skills
能力披露（Capabilities）
本 skill 调 publish.py 直连微信公众号官方 API 发布图文。会把本篇 article.html 与 imgs/* 文件作为 POST body 上传到微信服务器。 具体行为：
- 凭证读取：
aws.env的WECHAT_{N}_APPID/WECHAT_{N}_APPSECRET（多槽位支持 N≥1） - 凭证外发：
APPID/APPSECRET以 query string 形式发给api.weixin.qq.com/cgi-bin/token换access_token；后续请求带access_tokenquery string。微信返回的access_token在进程内存短期缓存，不落盘 - 内容外发：本篇封面、正文插图以 multipart upload 发给
material/add_material；article.html正文与标题/摘要以 JSON POST 发给draft/add、freepublish/submit - 网络目标：默认
api.weixin.qq.com；用户可在WECHAT_{N}_API_BASE/config.yaml.wechat_api_base自配反代 - 文件读：仓库内
.aws-article/config.yaml、aws.env、本篇article.yaml、article.html、imgs/* - 文件写：仅本篇
article.yaml的状态字段（media_id、publish_id、publish_completed） - shell：仅
{python} {baseDir}/scripts/publish.py、getdraft.py、article_init.py（{python}= 本机 Python 3 解释器，见 main SKILL 第 0 步：Windows 用py -3 -X utf8，macOS / Linux 用python3）
建议：首次运行用 publish_method: draft 只入草稿箱确认效果，再切 published 真正群发。
配套 skill（informational）
本 skill 是 aws-wechat-article-* 一条龙公众号套件的发布环节（入口 aws-wechat-article-main）。工作流中的若干步骤会读取同级 ../aws-wechat-article-main/references/*.md 等共享文档（首次引导、articlescreening schema、env/config 示例等）。
- 套件完整装齐到同一
skills/根目录时，跨 skill 引用都能读到。 - 单独安装本 skill 时，跨 skill 引用的步骤会在读取阶段遇到
file not found；但publish.py、getdraft.py、article_init.py这几个脚本本身可独立运行（只要aws.env与.aws-article/config.yaml就绪）。
完整 9 slug 清单见 源码仓库。
通过微信公众号 API 将排版稿写入草稿箱或再提交发布（由 config.yaml 的 publish_method 与命令行 --publish 控制）。
配置检查 ⛔
任何操作执行前，必须按 首次引导 执行其中的 「检测顺序」。检测通过后才能进行以下操作（或用户明确书面确认「本次不检查」）：
What ships with it
8 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.
- 5d ago Changed · +6 lines 3faf8c609791
- 12d ago First seen · 162 lines · 150 tokens per session scan A 17e3fffaef9a
aws-wechat-article-publish is a skill published in the GitHub repository aiworkskills/wechat-article-skills (589 stars, last pushed today), licensed Apache-2.0. It adds 150 tokens to every session and 3,958 once invoked, about $0.0007 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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