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// Skill profile

opencli

name: opencli

by aaronwang1980 · published 2026-04-01

社交媒体数据处理
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Last updated
2026-04
// Install command
$ claw add gh:aaronwang1980/aaronwang1980-opencli-skill
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// Full documentation

---

name: opencli

description: |

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.

---

# 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/messages` | navigate → snapshot 读取列表 |

    | 知乎通知 | `https://www.zhihu.com/notifications` | navigate → snapshot |

    | 微博发帖 | `https://weibo.com` | navigate → 点击输入框 → type → 发送 |

    | 小红书私信 | `https://www.xiaohongshu.com/im` | navigate → snapshot |

    | B站私信 | `https://message.bilibili.com` | navigate → snapshot |

    | Twitter DM | `https://x.com/messages` | navigate → 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"** 或 **"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 |

    |------|------|------|-----------|

    | producthunt | `top` | `~/.opencli/clis/producthunt/top.yaml` | `button[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`
  • 找 `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](references/commands.md) for all 55 commands with complete argument details.

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