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 yanhua1010/self-media-content-workflow --skill self-media-wechat-publishergit clone --depth 1 https://github.com/yanhua1010/self-media-content-workflowWrote 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/yanhua1010/self-media-content-workflow/self-media-wechat-publisher)<a href="https://agentmods.dev/skills/yanhua1010/self-media-content-workflow/self-media-wechat-publisher"><img src="https://agentmods.dev/badge/skills/yanhua1010/self-media-content-workflow/self-media-wechat-publisher/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/yanhua1010/self-media-content-workflow/self-media-wechat-publisher"><img src="https://agentmods.dev/badge/skills/yanhua1010/self-media-content-workflow/self-media-wechat-publisher.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 | $0.00112 | $0.00991 |
| Opus 5 | $0.00056 | $0.00495 |
| Sonnet 5 | $0.00022 | $0.00198 |
| Haiku 4.5 | $0.00011 | $0.00099 |
Grade A, and why
self-media-wechat-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 13d 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
公众号发布
目标
把确认过的公众号终稿 Markdown 排版成平台原生富文本，连同封面和文内图片写入公众号草稿箱。只创建草稿，从不群发。
适配层说明
本模块是公众号渠道的发布适配层，基于开源工具 wenyan CLI（Apache-2.0）。wenyan 不可用时不阻塞创作流程，按 self-media-content-delivery 交付手动发布包。
前置检测
wenyan --version确认安装。未安装时提示npm install -g @wenyan-md/cli，用户不想安装则直接交付手动发布包。- 确认
WECHAT_APP_ID和WECHAT_APP_SECRET环境变量存在。只判断存在性，不读取、不回显、不写入任何文件。 - 首次发布前确认运行机器 IP 已加入公众号后台白名单。IP 频繁变动或团队协作场景使用 server 模式，见 wenyan-setup.md。
输入契约
文章顶部必须有 frontmatter：title 必填；cover 为本地或网络路径，缺省时自动取正文第一张图；author 和 source_url 可选。文内图片支持本地绝对路径、相对路径和网络地址，发布时自动上传公众号素材库。模板见 wechat-article-template.md。
小绿书图片消息：frontmatter 设 type: image 自动提取正文全部图片，或手动列出 image_list。最多 20 张，首图即封面。
主题选择
- 优先读取账号风格档案中的默认排版主题。
- 没有默认主题或用户要求换风格时，用当前文章渲染候选主题生成本地预览（
wenyan render -f 文章.md -t 主题），让用户对比选择。 - 用户选定后写入账号风格档案，后续沿用，不重复询问。
- 需要品牌化排版时用
-c加载自定义 CSS 主题。
发布流程
两层授权缺一不可：终稿确认，加上草稿箱写入授权。
- 核对 frontmatter 完整、封面可用、文内图片路径全部有效。
wenyan render本地渲染，确认无乱码、代码块和表格可读。wenyan publish -f 文章.md -t 主题 -h 高亮主题写入草稿箱。- 提醒用户在公众号后台打开草稿，核对标题、封面、前两段、图片数量和外链。
- 把草稿创建时间、使用主题和核对结果写回任务卡。
发布失败时按 wenyan-setup.md 排查。同一错误不盲目重试超过一次，凭据类问题交给用户处理。
多账号
发布到多个公众号时，改用 wenyan 的凭据配置管理多账号，publish 时加 --app-id 指定。每个账号都需要独立配置 IP 白名单。
安全边界
- 只写草稿箱，不调用群发接口。
- 凭据只通过环境变量或 wenyan 凭据配置提供，不写入任务卡、文章、日志或仓库。
- 命令输出中出现 token 或密钥片段时不记录、不转述。
- 发布接口报错、白名单拦截或凭据失效时立即停止并交给用户。
输出
返回：草稿标题、使用主题、封面来源、图片数量、草稿创建时间和需要人工核对的清单。
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.
- 13d ago First seen · 61 lines · 112 tokens per session scan A 61a45f5974c7
self-media-wechat-publisher is a skill published in the GitHub repository yanhua1010/self-media-content-workflow (480 stars, last pushed 20d ago), licensed MIT. It adds 112 tokens to every session and 991 once invoked, about $0.0006 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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