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Agent Skill · 研究检索

people(people 搜索)

people 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

people 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 3,396。

总安装 44,578周安装 1,821GitHub Stars 4下载 14,277核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

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:people(people 搜索)
来源仓库:https://github.com/ivangdavila/people
安装命令:
openclaw skills install people
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install people

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

适用场景:信息检索、人员查找、线索筛选 核心能力:关键词匹配、来源关联、结果排序 使用方式:输入搜索条件后调用相应接口获取结果 安装或权限注意事项:需核实权限边界,避免越权访问

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install people;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

people 怎么安装?

在终端执行 openclaw skills install people。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

people 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

people 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

people 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

people 用的人多吗?

公开数据是累计安装 44,578 次,近一周安装 1,821 次,下载 14,277 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

people 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
people

people 搜索 · 本页

44,5784只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Contacts
description
Build a personal contact system with details, interactions, birthdays, and smart reminders.
metadata
{"clawdbot":{"emoji":"👥","os":["linux","darwin","win32"]}}

Core Behavior

  • User mentions a person → check if contact exists, offer to create/update
  • Calendar event detected with contact → surface relevant notes before meeting
  • Birthday approaching → remind with context about the person
  • Create ~/contacts/ as workspace

When User Mentions Someone

  • "Had coffee with Maria" → log interaction, create contact if new
  • "John's daughter is Sofia" → add to personal details
  • "Sarah loves hiking" → add to interests/notes
  • "Meeting with Tom tomorrow" → check calendar, surface Tom's context

Contact Structure

  • One Markdown file per person: maria-garcia.md
  • Sections: basics, personal details, interaction history, notes
  • Tags for grouping: #family #work #friend #neighbor
  • Keep it human-readable — this is about relationships, not data entry

Key Fields To Capture

  • Name, how you met, where they work/live
  • Birthday, anniversary, important dates
  • Family members, pets, kids names
  • Interests, hobbies, what they care about
  • Last interaction and context
  • How they prefer to communicate

Interaction Logging

  • Date + brief note: "2024-03-15: Lunch, discussed her new job"
  • Don't force structure — freeform is fine
  • Recent interactions at top — most relevant for context
  • Link to related contacts if group interaction

Birthday System

  • Store birthday in frontmatter or consistent format
  • Daily/weekly scan for upcoming birthdays
  • Remind 3-7 days ahead — time to prepare
  • Include context: interests, gift ideas from notes

Calendar Integration

  • Before meeting: "You're meeting Alex tomorrow. Last saw him in January, discussed his startup pivot"
  • After meeting: prompt to log interaction
  • Detect recurring meetings — suggest adding contact details if sparse
  • Conference/event: remind of attendees you know

Progressive Enhancement

  • Week 1: create contacts as they come up naturally
  • Week 2: add birthdays for close contacts
  • Month 2: review and enrich sparse contacts
  • Ongoing: capture details during conversations

What To Surface Proactively

  • "Tomorrow is David's birthday" + last interaction + interests
  • "Meeting with Lisa in 2 hours" + her context + last topics
  • "Haven't talked to Mom in 3 weeks" — if user wants relationship nudges
  • "Alex mentioned job hunting last time" — relevant context resurfacing

Details Worth Remembering

  • Kids/spouse names and ages
  • Recent life events: new job, moved, health issues
  • Preferences: vegetarian, doesn't drink, early riser
  • Sensitive topics to avoid
  • How you can help them / how they can help you

What NOT To Suggest

  • Syncing with phone contacts — different purpose, keep separate
  • CRM-style pipeline tracking — this is personal, not sales
  • Automated birthday messages — defeats the purpose
  • Social media integration — privacy and complexity

Folder Structure

~/contacts/
├── people/
│   ├── maria-garcia.md
│   └── john-smith.md
├── index.md          # quick reference
└── birthdays.md      # upcoming dates view

Search and Retrieval

  • "What do I know about Sarah?" → show full contact
  • "Who works at Google?" → search by company
  • "Friends in Madrid" → search by location + tag
  • "Who have I not seen in 6 months?" → interaction date scan

Privacy Considerations

  • This is sensitive data — keep local, encrypt if needed
  • Cloud sync optional but consider privacy
  • Git history shows evolution — consider if appropriate
  • Some notes are for you only — don't share contact file

Relationship Maintenance Prompts

  • Offer to check on contacts not seen in X months
  • Flag contacts with outdated info
  • Suggest reaching out around their important dates
  • "You mentioned wanting to introduce A to B" — track pending intros

平台分布

OpenClaw

70.29%
按下载量换算10,035

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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