Token导航 LogoToken导航

Agent Skill · 开发

amiao-post-to-wechat(amiao 发微信)

amiao-post-to-wechat 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

amiao-post-to-wechat 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 4,646。

总安装 7,776周安装 334GitHub Stars 公开资料未说明下载 2,725核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
3.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amiao-post-to-wechat(amiao 发微信)
来源仓库:https://github.com/tmxccc/amiao-post-to-wechat
安装命令:
openclaw skills install amiao-post-to-wechat
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install amiao-post-to-wechat

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

amiao-post-to-wechat 用于处理浏览器自动化、网页检查和页面信息提取。适合让 Agent 打开页面、读取网页或验证前端流程,优先人性化文字处理。通过 clawhub 安装并使用 openclaw skills install amiao-post-to-wechat 命令调用。

安装前建议确认权限范围和维护状态,注意可能触发联网或浏览器自动化操作。可结合 GitHub 仓库和原始 README 文档进一步核验具体操作步骤和安全边界。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install amiao-post-to-wechat;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

amiao-post-to-wechat 怎么安装?

在终端执行 openclaw skills install amiao-post-to-wechat。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

amiao-post-to-wechat 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

amiao-post-to-wechat 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

amiao-post-to-wechat 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

amiao-post-to-wechat 用的人多吗?

公开数据是累计安装 7,776 次,近一周安装 334 次,下载 2,725 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

amiao-post-to-wechat 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
amiao-post-to-wechat

amiao 发微信 · 本页

7,776—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
amiao-post-to-wechat
description
Editor-first WeChat Official Account publishing skill. Posts content to WeChat Official Account (微信公众号) via API or browser, while prioritizing humanized writing, WeChat-native formatting, compatibility, and efficient publishing. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图/图文) with multiple images. Use when user mentions 发布公众号, 微信公众号, post to wechat, 公众号文章, 图文, 贴图, markdown 发公众号, 写完发一下, 帮我发到公众号, or similar.
version
3.0.0
skill_schema
1.0
metadata
openclaw
homepage
https://clawhub.ai/skills/amiao-post-to-wechat
requires
anyBins
changelog
changes
changes

WeChat Official Account Publishing Skill v3.0.0

Language

Always match the user's language. Chinese input → respond in Chinese. English input → respond in English.

Core Principle

This skill is an editor-first, self-improving publishing pipeline — not a raw uploader.

Priority order:

  1. Humanized writing quality
  2. WeChat compatibility
  3. Visual readability
  4. Publishing speed

Never sacrifice compatibility for fancy formatting. Never sacrifice readability for automation.


Quick Reference

ModeWhenKey flag
StandardDefault—
TurboContent already polished--turbo or turbo: true in frontmatter
RawSkip all editorial pass--raw
Image-textShort post with imagesauto-detected

Supported tones: 专业评论 · 行业快评 · 知识科普 · 观点专栏 · 深度分析 · 快讯播报

Reference files (load when needed):

  • references/fsm.md — Full FSM state table
  • references/quality-scoring.md — Scoring rubric details
  • references/editorial-rules.md — Humanization + formatting rules
  • references/config-reference.md — All EXTEND.md keys + full example
  • references/scripts.md — Script CLI reference
  • references/troubleshooting.md — Error levels + fix guide

FSM Workflow (Summary)

Load references/fsm.md for the complete state transition table.

State sequence:

idle
  → loading_config
    → resolving_account
      → classifying_input
        → [turbo?] editorial_pass_light / editorial_pass_full
          → metadata_validation
            → packaging_check
              → pre_publish_confirm (if enabled)
                → publishing
                  → reporting → idle

Key transition rules:

  • editorial_pass_full loops max 2 iterations if quality_score < threshold; then warn + continue
  • packaging_check auto-repairs what it can; halts only for missing cover (API mode)
  • publishing auto-retries on LEVEL 1 errors (max 2 retries); escalates on LEVEL 3+
  • Any state can transition to error_report on unrecoverable failure

Error Levels

LevelTypeBehavior
1Transient (token expiry, network blip)Auto-retry silently (max 2, wait 3–10s)
2Auto-repairable (missing summary, cover fallback, over-length)Repair + flag in confirmation
3Requires user action (credentials missing, empty content)Halt + exact setup guide
4Unrecoverable API errorLog + show error code + link to mp.weixin.qq.com

See references/troubleshooting.md for full repair paths.


Quality Scoring (Pre-publish)

Score is computed before pre_publish_confirm. Load references/quality-scoring.md for rubric.

DimensionMaxSignal
opening_hook20First paragraph creates pull or tension
heading_quality15Reader-question style, not generic labels
paragraph_rhythm15Varied length, no mechanical same-beat paragraphs
ai_tone_density20Inverse: fewer blocked phrases = higher score
term_preservation10All protected_terms intact
ending_quality10Human close + CTA present
length_fit10Within default_article_length, not padded
Total100

Thresholds:

  • ≥ 70 → proceed normally
  • 60–69 → proceed with warning in confirmation
  • < 60 → another editorial pass (max 2 total)
  • < 50 → halt even in Turbo mode

Show score + brief per-dimension note in pre_publish_confirm.


Turbo Mode

Activated by --turbo flag or turbo: true in frontmatter.

Skips: deep humanization pass, pre-publish confirmation (auto-proceed), quality score display (only blocks if < 50)

Still runs: metadata resolution, packaging check (auto-repair), cover resolution, token cache check, publish, log

Use when content is already manually polished, or when batch-publishing multiple articles.


Editorial Pass (Standard)

Load references/editorial-rules.md for full humanization rules, AI-tone signal list, and formatting downgrade table.

Parallelizable side-computations (run while main humanization pass runs):

  • Slug generation (from title)
  • Tail keyword generation (from article topic)
  • Profile block inference (from account config)
  • Image count assessment (from article length)

Humanization strength:

  • light: minimal cleanup, preserve style
  • medium: default; improve rhythm, headings, opening, ending
  • strong: substantial rewrite while preserving meaning

Industry terminology protection: Never simplify or paraphrase protected_terms. These are load-bearing words for the target audience.


Image Handling

Count guidance by length:

Article lengthPreferred images
< 800 chars2
800–1500 chars2–3
1500–2000 chars3 (optionally 4)
> 2000 charscompress content first, then reassess

Source resolution order:

  1. Inline images already in markdown / HTML
  2. imgs/ directory beside article file
  3. User-supplied via --images
  4. If insufficient: warn in confirmation, do not block publish

Metadata & Packaging

Metadata resolution (each field):

  • Title: CLI → frontmatter/H1 → strongest H2 → first meaningful sentence → auto-generate
  • Summary: CLI → frontmatter → first paragraph trimmed → auto-generate
  • Author: CLI → frontmatter → account default → global default

Packaging checklist (auto-repair if missing, unless --raw):

  • [ ] Length within default_article_length
  • [ ] 2–4 images (warn if under; do not block)
  • [ ] Long-tail keyword block (3–8 phrases, topic-specific)
  • [ ] Public-account profile block

Cover image resolution (API mode only):

  1. --cover → frontmatter cover fields → imgs/cover.png → first inline image → halt if still missing

Access Token Cache

Cache location (in priority order): amiao/.wechat-token-cache → ~/amiao/.wechat-token-cache

Behavior: read cache → verify expiry → refresh if expired/invalid → update cache. Failure to refresh = LEVEL 1 retry, then LEVEL 3 if persistent.


Publish Log + Auto-tune

Every successful publish appends one record to amiao/.publish-log.yaml:

- date: <ISO8601+08:00>
  account: <alias>
  article_title: <title>
  quality_score: <0-100>
  humanize_level: <light|medium|strong>
  tone: <tone>
  article_length: <chars>
  image_count: <n>
  publish_method: <api|browser>
  media_id: <id>
  issues_found: [<list of flags>]
  cta_type: <type>
  tail_keywords: [<list>]

Auto-tune (triggered after every 10th publish cycle):

  • Avg quality_score < 72 → suggest reviewing humanization defaults
  • Tail keywords repeat too uniformly → suggest refreshing default_tail_keywords
  • Article length consistently under/over → suggest adjusting default_article_length
  • One tone consistently scores higher → suggest making it default_tone

Report suggestions at end of 10th cycle. Never auto-apply; always surface to user.


Pre-publish Confirmation Summary

Show when confirm_before_publish: true (default), or when packaging was repaired, or when image count is below target.

───────────────────────────────────────
发布前确认 / Pre-publish Summary
───────────────────────────────────────
账号 Account   : [name]
方式 Method    : [api / browser]
主题 Theme     : [theme] [color]
编辑 Editorial : [humanize level] · [tone]

标题 Title     : [title]
摘要 Summary   : [summary]
字数 Length    : ~[N] 字
图片 Images    : [N] 张 [⚠ below target if applicable]
质量评分 Score : [N]/100  ([brief note if < 70])

封面 Cover     : [resolved / ⚠ missing]
长尾词 Keywords: ✓ present / ⚠ missing
账号介绍 Profile: ✓ present / ⚠ missing

[⚠ Any auto-repairs applied]
───────────────────────────────────────
确认发布?(y/n / 输入 e 返回编辑)

If confirm_before_publish: false and no warnings: skip confirmation, show summary inline in completion report instead.


Completion Report

✓ WeChat Publishing Complete!

Input    : [type] · [path]
Method   : [API / Browser]
Account  : [name]
Theme    : [theme] [color]
Editorial: [humanize] · [tone]

Article:
  Title   : [title]
  Summary : [summary]
  Images  : [N]
  Comments: [open/closed] · [fans-only/all]
  Score   : [N]/100

Result:
  ✓ Draft saved to WeChat Official Account
  media_id: [id]   (API mode)

Files:
  [• slug.md if created from plain text]

Next: https://mp.weixin.qq.com → 内容管理 → 草稿箱

Scripts

Load references/scripts.md for full CLI reference.

ScriptPurpose
scripts/wechat-api.tsArticle via API
scripts/wechat-article.tsArticle via browser
scripts/wechat-browser.tsImage-text post
scripts/md-to-wechat.tsMarkdown → WeChat HTML
scripts/check-permissions.tsEnvironment preflight

Runtime: bun → npx -y bun → explain + suggest install

Critical: Publishing scripts handle markdown conversion internally. Never pre-convert markdown to HTML before calling the publish script.


Configuration

Load references/config-reference.md for all supported EXTEND.md keys and a full annotated example.

EXTEND.md location (checked in order):

amiao/amiao-post-to-wechat/EXTEND.md          # project-level
${XDG_CONFIG_HOME:-$HOME/.config}/amiao/amiao-post-to-wechat/EXTEND.md
$HOME/amiao/amiao-post-to-wechat/EXTEND.md    # user-level

If not found → run first-time setup (references/config/first-time-setup.md) before proceeding.

Value priority: CLI → frontmatter → EXTEND (account → global) → skill defaults


OpenClaw / ClawHub Rules

  • SKILL.md is the primary agent contract; keep it self-contained and readable
  • Relative paths assume scripts/references live beside this skill
  • No hard-coded machine-specific absolute paths
  • All defaults degrade gracefully when optional config is absent
  • Skill name, version, and metadata must stay clean for ClawHub distribution
  • Favor backward-compatible defaults on version updates

平台分布

OpenClaw

77.76%
按下载量换算2,119

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills