opencli

Use opencli CLI to interact with social/content websites (Bilibili, Zhihu, Twitter/X, YouTube, Weibo, 小红书, V2EX, Reddit, HackerNews, 雪球, BOSS直聘 etc.) via the user's Chrome login session. ALWAYS prefer opencli over playwright/browser automation for these supported sites. Triggers: user asks to browse, search, fetch hot/trending content, post, or read messages on any supported site; 查B站热门, 搜知乎, 看微博热搜, 发推, 搜YouTube, 查股票行情 etc.

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Install skill "opencli" with this command: npx skills add joeseesun/opencli-skill/joeseesun-opencli-skill-opencli

opencli

CLI tool that turns websites into CLI interfaces, reusing Chrome's login state. Zero credentials needed.

Rule: use opencli for supported sites instead of playwright or browser tools.

Syntax

opencli <site> <command> [--option value] [-f json]

Common flags (all commands):

  • -f json — machine-readable output (preferred for parsing)
  • --limit N — number of results (default varies, usually 20)
  • -f table|json|yaml|md|csv

Quick Examples

# 读取/浏览
opencli bilibili hot --limit 10 -f json
opencli zhihu hot -f json
opencli weibo hot -f json
opencli twitter timeline -f json
opencli hackernews top --limit 20 -f json
opencli v2ex hot -f json
opencli reddit hot -f json
opencli xiaohongshu feed -f json

# 搜索
opencli bilibili search --keyword "AI" -f json
opencli zhihu search --keyword "大模型" -f json
opencli twitter search --query "claude AI" -f json
opencli youtube search --query "LLM tutorial" -f json
opencli boss search --query "AI工程师" --city "上海" -f json

# 互动(写操作)
opencli twitter post --text "Hello from CLI!"
opencli twitter reply --url "https://x.com/.../status/123" --text "Great post!"
opencli twitter like --url "https://x.com/.../status/123"

# 个人数据
opencli bilibili history -f json
opencli twitter bookmarks -f json
opencli xueqiu watchlist -f json

Output Formatting Rules

When displaying results to the user:

  1. Always show original title + Chinese translation + clickable link as separate columns
  2. Table format: # | 原标题 | 中文翻译 | 链接 | 关键指标...
  3. 原标题: plain text, no markdown link — do NOT use [title](url) format
  4. 中文翻译: plain Chinese translation text
  5. 链接: [🔗](url) — compact clickable icon
  6. Translate all English titles to Chinese — never show English-only output to the user

Example:

| # | 原标题 | 中文翻译 | 链接 | 分 | 评论 |
|---|--------|---------|------|-----|------|
| 1 | The 49MB web page | 那个 49MB 的网页 | [🔗](https://...) | 388 | 196 |

Fallback 策略:opencli 不支持时用 Playwright

核心原则:永远不说"不支持",先尝试 opencli,失败或无命令时自动切换 Playwright。

决策流程

用户请求
  ↓
opencli 有对应命令?
  ├─ 是 → 执行 opencli
  └─ 否 → 直接用 Playwright MCP 打开对应页面完成任务
              ↓
           Playwright 报错 / 无法连接?
              └─ 引导用户安装桥接插件(见下方)

常见 opencli 不支持场景 → Playwright 替代

场景网址Playwright 操作
知乎私信https://www.zhihu.com/messagesnavigate → snapshot 读取列表
知乎通知https://www.zhihu.com/notificationsnavigate → snapshot
微博发帖https://weibo.comnavigate → 点击输入框 → type → 发送
小红书私信https://www.xiaohongshu.com/imnavigate → snapshot
B站私信https://message.bilibili.comnavigate → snapshot
Twitter DMhttps://x.com/messagesnavigate → snapshot

Playwright 操作标准流程

1. mcp__playwright__browser_navigate → 目标 URL
2. mcp__playwright__browser_snapshot → 读取页面结构
3. 根据需要:browser_click / browser_type / browser_scroll
4. 将结果整理后呈现给用户

⚠️ 写操作风险提示(发帖/回复/点赞前必须告知)

  1. 账号安全:自动化行为可能触发平台风控
  2. 不可撤回:发布后立即公开
  3. 最佳实践:执行前向用户展示将发布的内容,等待确认

插件未安装时的引导话术

如果 Playwright 报错(连接失败 / 无法控制浏览器),告知用户:

"需要在 Chrome 安装 Playwright MCP Bridge 插件才能控制浏览器。 安装步骤:

  1. 打开 Chrome,访问 Chrome Web Store
  2. 搜索 "Playwright MCP""MCP Bridge"
  3. 点击「添加到 Chrome」
  4. 安装后确保 Chrome 已登录目标网站
  5. 重新告诉我你的需求,我来帮你完成"

Requirements

  • Chrome browser open with target site logged in
  • Playwright MCP Bridge extension installed in Chrome(未安装时见上方引导)

自迭代能力:为新网站创建 CLI

当 opencli 不支持某个网站时,不要放弃——自己创建!

流程

1. opencli <site> --help  →  报错?说明不支持
2. opencli generate <url>  →  尝试自动生成(成功则结束)
3. 自动生成失败 → 手动创建 YAML:
   a. 用 Playwright 打开目标页面
   b. browser_evaluate 探索 DOM 结构(找 data-test 属性、class 规律)
   c. 确认选择器后写入 ~/.opencli/clis/<site>/top.yaml
   d. opencli <site> top -f json  →  验证输出

YAML 格式(DOM 抓取模板)

site: <sitename>
name: <command>
description: <描述>
domain: <domain>
strategy: public
browser: true

args:
  limit:
    type: int
    default: 10

pipeline:
  - navigate: https://<url>
  - evaluate: |
      (async () => {
        const limit = ${{ args.limit }};
        // DOM 抓取逻辑
        return results;
      })()

columns: [rank, name, ...]

已创建的自定义 CLI

站点命令文件关键选择器
producthunttop~/.opencli/clis/producthunt/top.yamlbutton[data-test="vote-button"] → 父容器 → [data-test^="post-name-"],tagline: nameEl.parentElement.querySelector('span.mt-0\\.5')

调试技巧

  • browser_evaluate 先探结构:document.querySelector('...').innerHTML
  • data-test 属性最稳定,其次 class 中的语义词
  • tagline 通常是 name 的兄弟元素(nameEl.parentElement.querySelector('span...')
  • 去重用 seen = new Set(),防止重复产品

Full Command Reference

See references/commands.md for all 55 commands with complete argument details.

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