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 zhylq/yuan-skills --skill zhy-wechat-publishgit clone --depth 1 https://github.com/zhylq/yuan-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/zhylq/yuan-skills/zhy-wechat-publish)<a href="https://agentmods.dev/skills/zhylq/yuan-skills/zhy-wechat-publish"><img src="https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-wechat-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/zhylq/yuan-skills/zhy-wechat-publish"><img src="https://agentmods.dev/badge/skills/zhylq/yuan-skills/zhy-wechat-publish.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00047 | $0.01416 |
| Opus 5.5 | $0.00019 | $0.00566 |
| Sonnet 5.5 | $0.00009 | $0.00283 |
| Haiku 4.5 | $0.00005 | $0.00142 |
Grade A, and why
zhy-wechat-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 2mo 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
微信公众号草稿箱发布技能
本技能用于将文章发布到微信公众号草稿箱。脚本仅依赖 Node.js 内置模块;自动封面生成步骤会复用现有 bun 生图脚本。
前置条件
Node.js >= 16- 若要自动生成封面,还需本机可用
bun - 技能目录下
.env至少包含:
WECHAT_APP_ID=你的公众号AppID
WECHAT_APP_SECRET=你的公众号AppSecret
WECHAT_DEFAULT_THUMB_MEDIA_ID=默认封面图media_id(可选)
WECHAT_DEFAULT_AUTHOR=AI源来如此(可选)
- 运行机器公网 IP 已加入公众号后台 IP 白名单
- 自动生成封面时,需保证
zhy-article-illustrator的生图环境可用
安装说明
本 skill 适合与 npx skills add ... --skill zhy-wechat-publish 一起安装到 OpenCode、Claude Code 等支持 SKILL.md 的 agent 工具中。
安装后请在本地 skill 目录手动创建 .env,不要将真实凭据提交回仓库。
脚本清单
脚本位于 scripts/:
| 脚本 | 用途 |
|---|---|
wechat_draft.js |
上传正文到公众号草稿箱 |
upload_image.js |
上传本地封面图到永久素材库,获取 media_id |
publish_with_cover.js |
读取文章、生成封面、上传封面并推送草稿 |
核心能力
- 自动处理正文 CSS 变量兼容
- 自动将正文图片上传到微信正文图片接口并替换 URL
- 自动将
ul/ol降级为微信公众号编辑态更稳定的段落列表 - 支持默认作者、评论开关、仅粉丝评论设置
- 支持从文章内容生成单张公众号封面,并自动上传为
thumb_media_id
工作流
方式一:已准备好 HTML 与封面 media_id
node scripts/wechat_draft.js --title "文章标题" --file "post.html" --author "AI源来如此" --thumb "MEDIA_ID" --need-open-comment "1" --only-fans-can-comment "1"
参数说明:
| 参数 | 必填 | 说明 |
|---|---|---|
--title |
是 | 文章标题 |
--file |
是 | HTML 正文文件路径 |
--author |
否 | 作者,不传时默认 WECHAT_DEFAULT_AUTHOR 或 AI源来如此 |
--digest |
否 | 摘要 |
--thumb |
否 | 封面 media_id,不传时读取 .env 默认值 |
--source-url |
否 | 原文链接 |
--need-open-comment |
否 | 是否开启评论,默认 1 |
--only-fans-can-comment |
否 | 是否仅粉丝可评论,默认 1 |
方式二:自动生成封面并发布
当你已有文章源文件,以及最终用于上传的 HTML 文件时,可直接运行:
node scripts/publish_with_cover.js --article "article.md" --html "post.html" --author "AI源来如此" --source-url "https://example.com"
该脚本会自动完成:
- 读取文章内容并提取标题/摘要
- 调用
zhy-article-illustrator/scripts/image-gen.ts生成单张 16:9 封面图 - 调用
upload_image.js --json上传封面,获得thumb_media_id - 调用
wechat_draft.js推送草稿,并自动带上:authorthumb_media_idneed_open_comment=1only_fans_can_comment=1
可选参数:
| 参数 | 说明 |
|---|---|
--article |
原始文章文件,推荐 Markdown,也可 HTML |
--html |
最终上传到公众号的 HTML 文件 |
--title |
显式覆盖标题 |
--author |
显式覆盖作者 |
--cover-output |
自定义封面输出路径 |
--cover-ar |
封面宽高比,默认 16:9 |
--source-url |
原文链接 |
--need-open-comment |
是否开启评论,默认 1 |
--only-fans-can-comment |
是否仅粉丝可评论,默认 1 |
What ships with it
5 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.
- 2mo ago First seen · 135 lines · 47 tokens per session scan A a4a3de2bc4b9
zhy-wechat-publish is a skill published in the GitHub repository zhylq/yuan-skills (35 stars, last pushed 7mo ago), licensed MIT. It adds 47 tokens to every session and 1,416 once invoked, about $0.0002 per session on Opus 5.5. 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.
zhy-wechat-publish compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| zhy-wechat-publishzhylq/yuan-skills | Skill | 35 | 7mo ago | MIT | A | 47 | Claude Code |
| tong-jincheng-perspective863401402/she-love-me | Skill | 999 | 17d ago | MIT | A | 160 | Claude Code, Codex |
| langbot-devlangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 136 | Claude Code, Codex |
| edgeone skill scannerTencent/AI-Infra-Guard | Skill | 7.4k | 2d ago | Apache-2.0 | A | 148 | Claude Code, Codex |
| langbot-plugin-devlangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 115 | Claude Code, Codex |
| langbot-space-opslangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 101 | Claude Code, Codex |
| langbot-skills-maintenancelangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 49 | Claude Code, Codex |