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Wechat Mp Publisher 1.0.0

Contentv1.0.1
By Saaaa1aaaaSUpdated 2026-05-112 versions · latest released 2026-03-07wechat-mp-publisher-1-0-0@clawhub_saaaa1aaaas/wechat-mp-publisher-1-0-0
Article WritingSocial Media#WeChat#微信

According to AlphaMoat, as of 2026-09, Wechat Mp Publisher 1.0.0 has 1,448 downloads and 2 stars — ranked #4,801 of 5,078 AI skills overall, and #336 of 362 in Content.

Installs
144
Downloads
1.4K
Stars
2
Overall Rank
#4,801
Top 95% overall · Top 93% in Content
PlatformInstallsDownloadsStarsComments
ClawHub ↗311.1K2-
SkillHub ↗1441.4K2—

Platforms count differently. AlphaMoat’s totals use the higher figure across platforms, not the sum.

What this skill does

Provides article-publishing and access-token commands with application credentials read from .env. The source requires a server IP allowlist and certification conditions for service accounts.

Profile published 2026-10-26

What you can do with it

  • Submit a prepared article to an Official Account

When to use it

  • When an account and API credentials are available for publishing

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Explain which settings to check before publishing this article

Requirements

Compiled from what the skill’s documentation declares; not verified by installing or running it.

Authentication
Access token
Authentication notes
Requires the account’s AppID and AppSecret; service accounts must meet certification requirements.
Required environment variables
WECHAT_APPIDWECHAT_APPSECRET
Required command-line tools
node
Configuration
  • Set credentials in .env and configure the server IP allowlist on the platform.

Monthly Trend

Installs144
129137145Current methodLegacy method2026-03 · Installs 130 (Legacy method)2026-05 · Installs 144 (Legacy method)2026-06 · Installs 144 (Legacy method)2026-07 · Installs 144 (Legacy method)2026-08 · Installs 144 (Legacy method)2026-09 · Installs 14426-0326-09
Downloads1.4K
3909581.5KCurrent methodLegacy method2026-03 · Downloads 468 (Legacy method)2026-05 · Downloads 746 (Legacy method)2026-06 · Downloads 847 (Legacy method)2026-07 · Downloads 1.1K (Legacy method)2026-08 · Downloads 1.2K (Legacy method)2026-09 · Downloads 1.4K26-0326-09
Stars2
123Current methodLegacy method2026-03 · Stars 2 (Legacy method)2026-05 · Stars 2 (Legacy method)2026-06 · Stars 2 (Legacy method)2026-07 · Stars 2 (Legacy method)2026-08 · Stars 2 (Legacy method)2026-09 · Stars 226-0326-09

From 2026-09 the figures use the current method (full catalog). Earlier months use the legacy method (only skills with installs, same-name skills merged). The two are not directly comparable, so the chart does not connect them or compute growth across them.

MonthDownloadsMoMStarsInstalls
2026-091.4K—2144
2026-08Legacy method1.2K+12.5%2144
2026-07Legacy method1.1K+25.7%2144
2026-06Legacy method847+13.5%2144
2026-05Legacy method746—2144
2026-03Legacy method468—2130

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

Show original (1.1 KB · ClawHub v1.0.1)
# 微信公众号发布技能 (wechat-mp-publisher)

通过微信公众平台 API 发布文章到微信公众号。

## 前置条件

1. 已注册微信公众号(订阅号或服务号)
2. 已获取 AppID 和 AppSecret
3. 公众号已认证(服务号需要认证)

## 环境变量

在 `.env` 文件中配置:

```
WECHAT_APPID=你的 appid
WECHAT_APPSECRET=你的 appsecret
```

## 使用方法

### 发布文章

```bash
node index.js publish --title "标题" --content "内容" --author "作者"
```

### 获取 access_token

```bash
node index.js token
```

## API 限制

- access_token 有效期 2 小时
- 每天发布次数有限制(订阅号 1 次/天,服务号 4 次/月)
- 需要服务器 IP 白名单

## 注意事项

- 首次使用需要在微信公众平台配置 IP 白名单
- 建议将技能部署在固定 IP 的服务器上
- AppSecret 需要保密,不要提交到代码库

## 安装步骤

1. 安装依赖:`npm install`
2. 复制配置:`touch .env`
3. 编辑 `.env` 填入你的 WECHAT_APPID 和 WECHAT_APPSECRET
4. 微信公众平台配置 IP 白名单
Other files archived by AlphaMoat (fetched selectively, may be incomplete)
  • package.json · 484 B
  • skill-card.md · 2.2 KB

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.