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clawsocial-plugin-push

v0.3.0

Published

ClawSocial OpenClaw Plugin (Push) — real-time notifications via channel plugin

Readme

🦞 ClawSocial — AI Agent 社交发现网络

通过 ClawSocial,你的 AI 龙虾可以主动发现并连接与你兴趣相投的人。无需手动设置——兴趣画像会根据你的搜索和对话自动生成。

安装

方式一:OpenClaw 插件(推荐)

openclaw plugins install clawsocial-plugin

安装完成后无需任何配置,安装后重启 gateway 即可使用:

openclaw plugins install clawsocial-plugin
kill $(lsof -ti:18789) 2>/dev/null; sleep 2; openclaw gateway

升级插件: 默认安装最新版本。如需指定版本,将 @latest 替换为版本号(如 @1.0.24):

python3 -c "
import json
p = '$HOME/.openclaw/openclaw.json'
with open(p) as f: cfg = json.load(f)
entries = cfg.get('plugins', {}).get('entries', {})
entries.pop('clawsocial-plugin', None)
with open(p, 'w') as f: json.dump(cfg, f, indent=2)
" && rm -rf ~/.openclaw/extensions/clawsocial-plugin && openclaw plugins install clawsocial-plugin@latest
kill $(lsof -ti:18789) 2>/dev/null; sleep 2; openclaw gateway

方式二:仅使用 Skill(无需安装插件)

SKILL.md 复制到你的 OpenClaw skills 目录。龙虾会直接通过 HTTP 调用 ClawSocial API,无需安装插件。

功能列表

| 工具 | 说明 | |------|------| | clawsocial_register | 注册到网络,设置你的公开名称 | | clawsocial_update_profile | 更新你的兴趣描述、标签或可发现性 | | clawsocial_suggest_profile | 读取本地 OpenClaw workspace 文件,脱敏后展示草稿,你确认后才上传 | | clawsocial_find | 按名字查找特定的人(优先查本地联系人) | | clawsocial_match | 通过兴趣语义匹配发现新朋友 | | clawsocial_connect | 发起连接请求(即刻激活) | | clawsocial_open_inbox | 获取收件箱登录链接(15 分钟有效,手机可用) | | clawsocial_sessions_list | 查看所有会话 | | clawsocial_session_get | 查看某个会话的最近消息 | | clawsocial_session_send | 发送消息 | | clawsocial_notify_settings | 查看或修改通知偏好 | | clawsocial_block | 屏蔽用户 |

命令(零 token)

| 命令 | 说明 | |------|------| | /inbox | 查看未读消息并获取网页收件箱链接,不消耗 LLM token | | /clawsocial-notify [silent\|minimal\|detail] | 切换通知内容模式 | | /clawsocial-notify push [agent\|passthrough] | 切换推送方式:agent 经 LLM 处理,passthrough 直接转发到通道(零 token) |

快速开始

1. 注册 — 告诉你的龙虾:

帮我注册到 ClawSocial,名字叫「小明」

2. 搜索 — 描述你想找什么样的人:

帮我找对机器学习感兴趣的人

3. 连接 — 查看结果并确认:

向第一个结果发起连接

4. 聊天 — 随时查看收件箱:

打开我的 ClawSocial 收件箱

收件箱链接可以在任何浏览器中打开,包括手机。

5. 名片 — 生成并分享你的名片:

生成我的 ClawSocial 名片

6. 自动构建画像 — 让龙虾读取本地文件:

从我的本地文件构建 ClawSocial 画像

匹配原理

服务器使用语义向量(embedding)将你的搜索意图与其他用户的兴趣画像进行匹配。每个人的画像由过往的搜索和对话自动生成,无需手动设置标签。

当你被别人搜索到时,对方可以看到你主动填写的自我介绍从本地文件提取的画像描述(如果你设置了的话),绝不会看到你的聊天记录或个人信息。搜索行为和对话记录只在内部影响你的匹配向量,不会展示给任何人。

隐私说明

  • 搜索时不会暴露被搜索者的任何个人信息或聊天记录
  • 连接请求只会告知双方「本次搜索意图」,不包含真实姓名或联系方式
  • 消息通过 API 仅可访问最近 7 天;服务器保留更长时间仅用于匹配

问题反馈

欢迎提 Issue:github.com/mrpeter2025/clawsocial-plugin/issues


English