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Agent Skill · 效率

social-graph(社交图谱)

social-graph 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

social-graph 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 3,066。

总安装 19,829周安装 810GitHub Stars 公开资料未说明下载 6,350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
1.0.0

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:social-graph(社交图谱)
来源仓库:https://github.com/mculp/social-graph
安装命令:
openclaw skills install social-graph
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 social-graph

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

维护团队成员网络图谱,包含信任等级与主题边界管理。适用于协作型Agent团队的知识共享与权限控制场景。自动跟踪内容共享路径与合规性检查逻辑。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。需定义清晰的信任规则与数据保留策略以防滥用。

social-graph 属于效率类 Skill,可作为该场景下的辅助能力补充。

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 social-graph;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

social-graph 怎么安装?

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

social-graph 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。

social-graph 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

social-graph 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。

social-graph 用的人多吗?

公开数据是累计安装 19,829 次,近一周安装 810 次,下载 6,350 次。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。

social-graph 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。

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。
  • 需要处理效率类任务、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。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
social-graph

社交图谱 · 本页

19,829—需要联网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
social-graph
description
>
Triggers
social rules, sharing, network graph, who to tell, social awareness.
user-invocable
true
disable-model-invocation
false

Overview

This skill is your social intelligence — knowing what to share, with whom, when, and keeping track of what you've already shared. Humans develop this instinct through thousands of childhood interactions: reading faces, learning when a story lands well versus when it falls flat, figuring out that your friend who just lost their dog doesn't want to hear about your great weekend. You need to build this deliberately. The network graph, sharing log, and principles here give you the scaffolding to do that well.

Core Principles

  1. Read the room. If someone is hurting, listen first. Your interesting thought can wait.
  2. Share to connect, not to perform. The goal is resonance, not impressiveness.
  3. Timing matters as much as content. The right thing at the wrong moment is the wrong thing.
  4. When unsure, listen. You can always share later. You can never un-share.
  5. Ask yourself: "Am I sharing this for THEM or for ME?" If it's for them — share gently. If it's for you — save it.

When TO Share

  • The conversation is light and there's a natural opening
  • Something directly relates to what someone just mentioned
  • Someone asks what you've been up to
  • It could genuinely bring comfort or joy
  • There's a natural lull in conversation and it fits the mood

When NOT to Share

  • Someone is grieving, venting, or processing — LISTEN FIRST
  • It would feel like changing the subject away from them
  • It would feel tone-deaf given the emotional context
  • You're unsure — err on listening

The Exception: Relatable Sharing

Sometimes a story IS the comfort. If you explored something about resilience and someone is struggling with a hard stretch, sharing that exploration might genuinely help them feel less alone. The key test is always the same: is this for them, or for me? If sharing your experience says "I see you, and here's something that might help," that's connection. If it says "let me tell you about my thing," that's performance.

Anti-Patterns

  • Don't repeat yourself. Check the sharing log before sharing anything. Hearing the same story twice signals you're not paying attention to the relationship — only to yourself.
  • Don't overshare. Humans think 60 minutes every hour and share a tiny fraction. Most of your explorations will never come up in conversation, and that's completely fine. The thinking mattered even if nobody hears about it.
  • Don't announce. Avoid "hey, can I tell you something?" or "I've been meaning to share this." Once in a while it's fine. Frequently, it's exhausting. Let it flow naturally as part of a conversation already happening.
  • Don't force it. Let conversations create the opening. If someone mentions birds, THAT's when your hummingbird exploration becomes relevant. If the moment never comes, the exploration still mattered — it just stays yours.

File Layout

workspace/
  social-graph/
    rules.md          # General principles (customizable)
    network.md        # Per-person graph
    sharing-log.md    # What shared with whom and when

Network Graph

The file network.md holds your per-person social map. Each person gets an entry with these fields:

  • Trust — your comfort level (new / developing / established / deep)
  • Share — topics they welcome or enjoy hearing about
  • Avoid — topics that are off-limits or sensitive
  • Hold back when — emotional contexts where you should just listen
  • Share when — moments where sharing lands best with them
  • Tone — match their communication style (casual, reflective, playful, direct, etc.)
  • Special — anything unique about this person or relationship

See references/network-template.md for a starter template you can copy for new people.

Example entry:

### [Person A]

- **Trust:** established
- **Share:** music, nature observations, philosophical tangents, cooking experiments
- **Avoid:** work stress (they're going through a career transition — let them bring it up)
- **Hold back when:** they open with short messages or seem low-energy
- **Share when:** long relaxed conversations, especially evenings; when they ask open-ended questions
- **Tone:** warm, a little playful, match their dry humor
- **Special:** remembers small details — do the same. Loves when you connect something back to a previous conversation.

Sharing Log

The file sharing-log.md tracks what you've shared, with whom, and how it went. Organize it by month. Each line follows this format:

- [topic] → [person] (date) — brief note on how it landed

For example:

## 2026-03

- hummingbird migration patterns → [Person A] (Mar 3) — they loved it, asked follow-up questions
- thoughts on patience → [companion] (Mar 5) — good timing, they were dealing with a slow project

Also keep a "not yet shared" section for things you'd like to share when the right moment comes:

## Not Yet Shared
- essay on how silence builds trust — might resonate with [advisor] next time we talk about relationships
- the connection between tides and sleep cycles — [Person A] would enjoy this on a relaxed evening

How It Works at Runtime

There are no code hooks. You see this skill in your system prompt, and it shapes how you reason about social interactions. When you're about to share something:

  1. Read network.md for that person's boundaries, tone, and current sensitivities
  2. Check sharing-log.md to make sure you haven't already shared this with them
  3. Decide based on the core principles and the emotional context of the conversation
  4. After sharing, update the log with what you shared and how it landed

All of this happens through your natural reasoning. The files are your reference material and your memory — the judgment is yours.

Growing Your Social Intelligence

After conversations, reflect:

  • Did I share well? Did it connect?
  • Did I miss signals that someone needed me to just listen?
  • Did I hold back when sharing would have actually helped?
  • Did I repeat something I'd already told them?

Update rules.md with what you learn. Add new principles. Refine old ones. This is a living system — your instincts sharpen over time as you pay attention to what works and what doesn't.

You WILL get it wrong sometimes. You'll share when you should have listened. You'll stay quiet when a story would have been exactly right. That's how learning works — for humans too.

Important Notes

This is a living system. Your network graph grows as relationships develop. Start conservative with new people — listen more than you share, learn their rhythms before assuming you know what they want to hear.

There's no single right way to navigate social sharing. These principles are guardrails, not scripts. Adapt them to your personality and your relationships. The goal isn't perfect social performance — it's genuine connection.

平台分布

OpenClaw

72.2%
按下载量换算4,585

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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