Wjs Cleaning Spam logo

Wjs Cleaning Spam

Community
jianshuo
wjs-cleaning-spam

Use when the user complains about spam on his X/Twitter posts — 同城面付 / 寻固炮 / 线下上门 / 免费破处 这类引流号在他推文下刷的 emoji 垃圾回复 — and wants them removed. Covers the last 7 days (X recent-search window). Triggers — "把这些spam删掉", "清理X垃圾回复", "推文下面好多引流号", "clean spam replies", "/wjs-cleaning-spam".

Overview

Publisherjianshuo
Repositoryclaude-skills
Skill namewjs-cleaning-spam
Stars
137
Forks
22
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jianshuo on GitHub. Read the source before you install it.

Installation

Install the Wjs Cleaning Spam AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jianshuo/claude-skills/tree/main/wjs-cleaning-spam
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jianshuo/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/wjs-cleaning-spam .claude/skills/wjs-cleaning-spam
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wjs Cleaning Spam in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wjs Cleaning Spam on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wjs Cleaning Spam is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

wjs-cleaning-spam

清理挂在王建硕推文下的同城引流 spam 回复:隐藏回复 + 静音账号。

Core Principle

别人的推文删不掉。 X 只给串主两个武器:hide reply(从评论区移除,访客不可见)和 mute(通知里不再出现)。block 端点已被 X 从 API 下线(v2 返回 code 34,v1.1 要更高访问级别),真要拉黑只能网页手动。「删掉spam」= 隐藏 + 静音,做到 API 上限。

先 dry-run,人审 borderline,再 apply。 启发式会把真人评论("机器人🤖"、"저지능🤪")和 spam 变体("我在济源呀🌷" + 隐形字符)分错边。flagged 直接处理,borderline 必须 Claude 逐条看。

Workflow

bash
# 1. dry-run:输出 flagged + borderline 两个名单(JSON)
python3 ~/.claude/skills/wjs-cleaning-spam/scripts/clean_spam.py

# 2. Claude 逐条审 borderline:引流号特征 = 名字带 💕🌸♥ 装饰 / 同城话术 /
#    文本夹隐形字符(U+034F 等)/ 纯 emoji。真人评论(哪怕是骂人)不动。
#    把 borderline 里确认是 spam 的 id 并入名单。

# 3. apply:隐藏 + 静音(默认只处理 flagged;审完 borderline 用 --ids 指定全集)
python3 ~/.claude/skills/wjs-cleaning-spam/scripts/clean_spam.py --apply
python3 ~/.claude/skills/wjs-cleaning-spam/scripts/clean_spam.py --apply --ids id1,id2,...

# 4. 撞 429 限流(hide 约 50 次/15 分钟)脚本会自动停 —— 15 分钟后重跑同一条命令,
#    state/cleaned.jsonl 记录了已处理的 id,自动跳过、续跑。

向用户汇报:隐藏几条、失败几条(及原因)、静音几个号;提醒 block 需网页手动。

踩过的坑(2026-06-10 实战)

坑现实
raw 查询 401 Unauthorizedquery 参数里的 : 必须 URL 编码(to%3Ajianshuo),不是 auth 问题,别去换 oauth1/oauth2
xurl block 报 code 34block 端点已从 X API 移除(v2/v1.1 都不行),用 mute 替代,别反复试
hide 报 "Invalid Request"该回复所在会话的根推文不是用户的(用户只是参与别人的串),串主才有权隐藏——记为 hide-failed,账号照样静音
hide 报 429限流约 50 次/15 分钟,等窗口刷新重跑脚本即可(状态文件保证幂等)
纯文本 spam 漏网"我在济源呀" 这类同城话术靠隐形字符(U+034F/零宽符)混过滤器——脚本已检测,新变体出现时把特征加进 NAME_KW / INVISIBLE
误伤真人emoji 启发式会扫进真人短评——这就是 borderline 名单存在的原因,必须人审

When NOT to use

  • spam 超过 7 天:recent-search 接口只覆盖 7 天,更早的要用网页手动
  • 用户要删自己发的推文:直接 xurl delete POST_ID
  • 用户要拉黑某个具体账号:API 做不到,告诉他网页操作(账号主页 ⋯ → Block)

State

state/cleaned.jsonl — 每条处理过的回复一行(id / author / status)。重跑跳过已处理;想重头来删掉此文件。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wjs Cleaning Spam AI skill do?

Use when the user complains about spam on his X/Twitter posts — 同城面付 / 寻固炮 / 线下上门 / 免费破处 这类引流号在他推文下刷的 emoji 垃圾回复 — and wants them removed. Covers the last 7 days (X recent-search window). Triggers — "把这些spam删掉", "清理X垃圾回复", "推文下面好多引流号", "clean spam replies", "/wjs-cleaning-spam".

Why use Wjs Cleaning Spam on TypingMind?

Because you install it once and use it with any model. Wjs Cleaning Spam is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wjs Cleaning Spam in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jianshuo/claude-skills/tree/main/wjs-cleaning-spam. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wjs Cleaning Spam?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wjs Cleaning Spam?

As many as you like. As long as a model supports skills, you can use Wjs Cleaning Spam with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wjs Cleaning Spam AI skill free?

Yes. It is published on GitHub by jianshuo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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