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月老 Matchmaker
作者
Sophie-xin9
· GitHub ↗
· v1.0.0
· MIT-0
85
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install matchmaker
功能描述
AI Matchmaker powered by real social media data. Two people scan their accounts — AI cross-analyzes interests, values, lifestyle, aesthetics, and social habi...
安全使用建议
This skill works by running JavaScript inside your logged‑in Chrome session (via a ManoBrowser connector) to scrape private profile data (posts, likes, collections, followers, timestamps). That's necessary to produce the 'compatibility report', but it is powerful: the scripts read cookies/session data, intercept XHR responses, and open tabs to extract in‑page JS objects. Before installing or running it: 1) Verify ManoBrowser/MCP endpoint is local or a service you trust — if you configure the MCP to a third‑party server it could receive all collected data. 2) Inspect the ManoBrowser repo the skill will clone (https://github.com/ClawCap/ManoBrowser) yourself; don't run a git clone blindly. 3) Only run the collectors when both people explicitly consent and use their own logged‑in sessions; collecting someone else's private account without consent is a privacy/legal risk. 4) Consider running a trial on non‑sensitive/public accounts first, and inspect the generated matchmaker-data/ directory; delete it after use if you want to remove local traces. 5) If you are uncomfortable granting in‑browser access, do not install the skill. If you want higher assurance, run the scraping steps manually under your control rather than allowing the agent to execute them autonomously.
能力评估
Purpose & Capability
Name/description (matchmaking from social media) align with the provided code and SKILL.md: the skill includes per‑platform collectors (Weibo, Douban, Bilibili, Xiaohongshu, Douyin) and instructions to extract profiles, posts, likes, collections, timestamps, etc. Accessing logged‑in browser state via a browser automation connector (ManoBrowser) is a reasonable technical requirement for this purpose.
Instruction Scope
The SKILL.md and submodule files instruct the agent to execute large, exact JS payloads inside the user's browser: fetch(..., credentials:'include'), DOM scraping, XHR interception, opening new tabs and reading page JS globals (e.g., window.__INITIAL_STATE__, window.$CONFIG.user). These actions read cookies, session data and private content and can collect sensitive personal information. The README states 'data stored locally', but the workflow requires configuring an MCP endpoint/API key (used to communicate with ManoBrowser) — if that endpoint is remote/untrusted it could forward collected data off‑device. The instruction to 'must copy and execute the JS scripts exactly' gives the agent broad capability to run arbitrary in‑browser code.
Install Mechanism
No formal install spec (instruction‑only) — lowest installer risk. The skill will auto‑git-clone ManoBrowser from GitHub if not found (git clone https://github.com/ClawCap/ManoBrowser.git). Cloning a public GitHub repo is typical and expected here. There are no downloads from obscure hosts in the skill itself, but the scripts reference an example MCP endpoint (https://datasaver.deepminingai.com/...) — that's an external host shown as an example for MCP configuration and merits caution if used.
Credentials
The skill requests no env vars itself, but it depends on the ManoBrowser MCP endpoint and API key being configured (the check script and SKILL.md rely on them). That connector grants the agent the ability to execute JS in your logged‑in browser context and to fetch authenticated pages (fetch with credentials:'include'). For the intended functionality this is proportionate — but only if the MCP endpoint is truly local/trusted. If the endpoint is set to a remote third‑party, collected personal data (including private posts, likes, followers) could be routed off‑device. The README's 'data local' assurance depends on the user's MCP configuration.
Persistence & Privilege
always:false and user‑invocable:true. The skill does not request permanent inclusion or attempt to modify other skills. It will create local data files (matchmaker-data/) per its described workflow; storing and deleting those is under user control.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install matchmaker - 安装完成后,直接呼叫该 Skill 的名称或使用
/matchmaker触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: AI matchmaker powered by real social media data
元数据
常见问题
月老 Matchmaker 是什么?
AI Matchmaker powered by real social media data. Two people scan their accounts — AI cross-analyzes interests, values, lifestyle, aesthetics, and social habi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 85 次。
如何安装 月老 Matchmaker?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install matchmaker」即可一键安装,无需额外配置。
月老 Matchmaker 是免费的吗?
是的,月老 Matchmaker 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
月老 Matchmaker 支持哪些平台?
月老 Matchmaker 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 月老 Matchmaker?
由 Sophie-xin9(@sophie-xin9)开发并维护,当前版本 v1.0.0。
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