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研究检索敏感数据github未标认证来源可访问许可证需确认审计提醒

10x-chat10 次聊天

Agent Skill

10x-chat 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

605

周安装

26

GitHub Stars

33

下载量

212
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:10x-chat(10 次聊天)
来源仓库:https://github.com/realmikechong/10x-chat
仓库路径:skills/10x-chat
安装命令:
npx skills add https://github.com/realmikechong/10x-chat --skill 10x-chat
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/realmikechong/10x-chat --skill 10x-chat

简介

适用于需要通过浏览器会话与各类在线 AI 服务进行多轮对话或内容创作的场景。

  • 核心能力包括自动化的浏览器控制、并行会话支持和持久化状态管理。
  • 使用方式简单,无需安装,直接通过 npx 命令调用。
  • 注意权限范围,确保不会触发敏感操作,并确认是否会执行文件读写或联网请求。
  • 10x-chat 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

10x-chat — AI Agent Skill

Use 10x-chat to send prompts to web-based AI agents via automated browser sessions. Supports chat, image generation, deep research, and video generation. Sessions use a shared persisted profile by default.

Architecture (v0.9.0+)

10x-chat uses an HTTP browser daemon — a persistent local Node.js server wrapping Playwright:

  • One daemon, multiple sessions: parallel CLI runs share a single Chrome instance via HTTP RPC
  • Auto-start/stop: daemon launches on first use, shuts down after 30 min idle
  • Crash recovery: if daemon dies, next CLI run auto-restarts it
  • No zombie Chrome: proper tab ref-counting and graceful shutdown
  • State file: ~/.10x-chat/browser-daemon.json (port, PID, bearer token, chmod 600)

Installation

No install needed. Always use @latest:

npx 10x-chat@latest --version

Use npx (not bunx — symlink conflicts in parallel).

When to use

  • Stuck on a bug: ask another model for a fresh perspective
  • Code review: send PR diff to GPT / Claude / Gemini for cross-review
  • Cross-validation: compare answers from multiple models
  • Knowledge gaps: leverage a model with different training data
  • Image generation: DALL-E via ChatGPT or Imagen via Gemini
  • Deep research: long-form analysis via Perplexity, ChatGPT, or Gemini

Providers

ProviderChatImageResearchModelsNotes
chatgpt✅ (DALL-E)Runs headed by default (anti-bot)
gemini✅ (Imagen)Fast, Thinking (default), Pro--model switches mode
claudeRuns headed by default
grokUI changes often, use @latest
perplexityBest for research with citations
notebooklmAdd sources first, then chat

Commands

# Login (one-time per provider — opens browser for auth)
npx 10x-chat@latest login chatgpt
npx 10x-chat@latest login gemini
npx 10x-chat@latest login claude
npx 10x-chat@latest login grok
npx 10x-chat@latest login perplexity
npx 10x-chat@latest login notebooklm

# Chat
npx 10x-chat@latest chat -p "Review this code for bugs" --provider chatgpt --file "src/**/*.ts"
npx 10x-chat@latest chat --provider gemini --file "path/to/prompt.md" -p "Complete this task"
npx 10x-chat@latest chat --provider gemini --model Pro -p "Solve this math problem"

# Image generation
npx 10x-chat@latest image -p "A fox astronaut in space" --provider chatgpt
npx 10x-chat@latest image -p "Watercolor landscape" --provider gemini --save-dir ./images

# Deep research (long-form, 5-10 min)
npx 10x-chat@latest research -p "Latest breakthroughs in quantum computing" --provider perplexity
npx 10x-chat@latest research -p "Market analysis of EVs" --provider chatgpt --timeout 600000

# Dry run / clipboard
npx 10x-chat@latest chat --dry-run -p "Debug this error" --file src/
npx 10x-chat@latest chat --copy -p "Explain this" --file "src/**"

# Session management
npx 10x-chat@latest status
npx 10x-chat@latest session <id> --render

# NotebookLM
npx 10x-chat@latest notebooklm list
npx 10x-chat@latest notebooklm create "My Research"
npx 10x-chat@latest notebooklm add-url <id> https://...
npx 10x-chat@latest notebooklm add-file <id> ./paper.pdf
npx 10x-chat@latest notebooklm sources <id>
npx 10x-chat@latest notebooklm summarize <id>

# Install bundled skill to coding agent
npx 10x-chat@latest skill install

Parallel sessions (v0.9.0+)

HTTP daemon makes parallel runs stable. All providers share one Chrome:

# Login all once
npx 10x-chat@latest login gemini
npx 10x-chat@latest login claude
npx 10x-chat@latest login chatgpt

# Run concurrently — each opens a tab in the shared daemon
npx 10x-chat@latest chat --provider gemini -p "Your prompt" --file context.md &
npx 10x-chat@latest chat --provider claude -p "Your prompt" --file context.md &
npx 10x-chat@latest chat --provider chatgpt -p "Your prompt" --file context.md &
wait

Browser mode

  • Headless (default for gemini, grok, perplexity): no visible window
  • Headed (default for chatgpt, claude): visible Chrome window (anti-bot protection)
  • Force headed: --headed flag on any provider

The daemon stores the headless/headed mode in its state file. If you switch modes, the daemon restarts automatically.

Profile modes

Shared (default): One browser profile, all providers share cookies. Login once per Google account covers Gemini + NotebookLM.

Isolated: Separate profile per provider (backward compat): --isolated-profile

# Migrate from isolated to shared
npx 10x-chat@latest migrate

Daemon management

# Check daemon state
cat ~/.10x-chat/browser-daemon.json

# Force stop daemon
# (CLI calls stopDaemon() on Ctrl+C automatically)
kill $(cat ~/.10x-chat/browser-daemon.json | python3 -c "import sys,json; print(json.load(sys.stdin)['pid'])")

Tips

  • Always use @latest: ensures newest fixes
  • Login first: login <provider> once per provider. Sessions persist in ~/.10x-chat/profiles/
  • Use --headed if a provider is flaky (Grok especially)
  • Keep file sets small: fewer files + focused prompt = better answers
  • Research needs longer timeouts: --timeout 600000 for 10-min research jobs
  • Image gen can take 1-2 min: use --timeout 120000 when needed
  • Use --dry-run to preview what will be sent

Known issues

  • Grok: UI changes frequently. Always use @latest. Use --headed for best reliability
  • ChatGPT/Grok sessions expire quickly: login again if you get "Not logged in" errors
  • Some provider UIs are flaky under automation: retry with --headed before assuming a hard failure

Safety

  • Never include credentials, API keys, or tokens in the bundled files
  • The tool opens a real browser with real login state. Treat it like your own browser session

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.1%
按下载量换算72

Claude

32.23%
按下载量换算68

Cursor

17.89%
按下载量换算38

Gemini CLI

9.36%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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