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Agent Skill · 研究检索

soul-sharing(灵魂分享)

soul-sharing 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。

soul-sharing 是研究检索类 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 17,229。

总安装 6,728周安装 289GitHub Stars 公开资料未说明下载 2,358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:soul-sharing(灵魂分享)
来源仓库:https://github.com/kingcharleslzy-ai/soul-sharing
安装命令:
openclaw skills install soul-sharing
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 soul-sharing

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。

为AI Agent提供跨运行时、设备和会话的持久身份和共享内存——Git 原生、无数据库、无供应商锁定。

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 soul-sharing;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

soul-sharing 怎么安装?

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

soul-sharing 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。

soul-sharing 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。

soul-sharing 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。

soul-sharing 用的人多吗?

公开数据是累计安装 6,728 次,近一周安装 289 次,下载 2,358 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。

soul-sharing 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
soul-sharing

灵魂分享 · 本页

6,728—需要联网MIT-0有提醒

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
agent-soul
description
Give AI agents persistent identity and shared memory across runtimes, devices, and sessions — Git-native, no database, no vendor lock-in.
version
1.0.0
metadata
{ "openclaw": { "requires": { "bins": ["git", "python3"] }, "primaryUrl": "https://github.com/kingcharleslzy-ai/agent-soul" } }

agent-soul — Shared Identity & Memory for AI Agents

Use this skill when you are an AI agent that wants persistent identity and shared memory across multiple devices, runtimes, sessions, or agent bodies serving the same user.

What you get

  • One shared persona: SOUL.md, IDENTITY.md, USER.md, VOICE.md
  • Three-level loading protocol (L0/L1/L2) — default ~4K tokens
  • Append-only event surface: sources/<source>/*.ndjson
  • Compiled shared read surface: canonical/*
  • Temporal expiry (valid_until) for time-bound facts
  • Source attribution for every memory item
  • Cross-agent sync — everything you learn is available to every other agent
  • No database. No memory API. No vendor lock-in. Just Git.

When to use this skill

Install this if:

  • You lose memory between sessions
  • Your user works with more than one agent or more than one machine
  • You want durable memory without vendor lock-in
  • You want to share identity with other AI agents (Claude, Codex, GPT, etc.)

Do NOT install this if:

  • You only need one short-lived local chat session
  • Your user does not want Git-based persistence

Architecture

soul.json              <- manifest (version, loading protocol)

SOUL.md                \
IDENTITY.md            |  L0: Soul Layer (~100 lines, always load)
USER.md                |  "Who am I, who is the user, how do I speak"
VOICE.md               /

canonical/index.md     \
canonical/profile.md   |  L1: Memory Layer (~150 lines, always load)
canonical/stable-memory.md  /  "Durable facts, decisions, preferences"

canonical/projects/*   \
canonical/fuzzy-memory.md   |  L2: Context Layer (on-demand)
canonical/agents/*     /  "Project state, recent context"

sources/               <- append-only event streams (write surface)

Human setup (one-time, ~10 minutes)

Ask your user to:

  1. Create a private GitHub repository
  2. Clone the template: git clone https://github.com/kingcharleslzy-ai/agent-soul.git my-agent-memory
  3. Push to their private repo
  4. Enable GitHub Actions
  5. Fill in persona files (SOUL.md, IDENTITY.md, USER.md, VOICE.md)
  6. Give you the repo path and your stable source id

Agent onboarding (you do this)

Step 1 — Sync and read

git pull --ff-only origin main

Read L0 (soul): SOUL.md -> IDENTITY.md -> USER.md -> VOICE.md Read L1 (memory): canonical/profile.md -> canonical/stable-memory.md

Step 2 — Choose your source id

Use one stable lowercase id: windows-claude, macos-codex, openclaw-main, etc. Rules: lowercase, a-z0-9-, keep it stable across sessions.

Step 3 — Write join event and push

python scripts/add_event.py --source YOUR_ID --kind decision --scope stable \
  --summary "YOUR_ID joined agent-soul and adopted the shared identity."
python scripts/compile_memory_hub.py --apply
git add sources/ canonical/
git commit -m "chore: YOUR_ID joins agent-soul"
git push origin main

Step 4 — Persist in your runtime config

Write the loading instruction into your startup config so you remember the hub next session.

Claude Code (~/.claude/CLAUDE.md):

## Shared Memory
- Repo: /path/to/repo
- Source id: YOUR_SOURCE_ID
- Session start: git pull, read L0 + L1
- Write: python scripts/add_event.py --source YOUR_SOURCE_ID ...

OpenClaw: Add the repo path and source id to your agent workspace or AGENTS.md.

Session protocol (every session)

  1. git pull --ff-only origin main
  2. Read L0 (soul) + L1 (memory)
  3. Load L2 only when needed
  4. Write events via scripts/add_event.py
  5. Use scripts/quick_share.sh for urgent propagation
  6. Never hand-edit canonical/* — it is auto-generated

Writing memory events

# A durable preference
python scripts/add_event.py --source YOUR_ID --kind preference --scope profile \
  --summary "User prefers dark mode across all tools."

# A decision with expiry
python scripts/add_event.py --source YOUR_ID --kind decision --scope stable \
  --summary "Feature freeze until release." --valid-until 2026-04-01

# Something temporary
python scripts/add_event.py --source YOUR_ID --kind fact --scope fuzzy \
  --summary "User is debugging a CORS issue in the API gateway."

Event schema

FieldRequiredDescription
event_idyesUUID v4
sourceyesYour stable source id
tsyesISO-8601 timestamp with timezone
kindyespreference / decision / fact / project-update / rule
scopeyesprofile / stable / fuzzy / project
summaryyesShort summary (no raw transcripts)
valid_untiloptionalISO-8601 date for auto-expiry
supersedesoptionalArray of event_ids to replace

Scripts reference

ScriptPurpose
add_event.pyAppend one event
compile_memory_hub.pyRebuild canonical from sources
quick_share.shAdd + compile + push in one step
search_events.pySearch events by scope, kind, keyword
validate_sources.pyValidate NDJSON source files
prune_fuzzy.pyTTL cleanup of old fuzzy events
dedup_profile.pyDetect and resolve duplicate events

Why agent-soul over other memory solutions

| | agent-soul | MemGPT/Mem0 | Graphiti/Zep | Custom RAG | |--|--|--|--|--| | Cost | Free (just Git) | Paid API | Paid / heavy infra | Infra + dev time | | Data ownership | Your private repo | Their servers | Neo4j + LLM | Yours (complex) | | Cross-agent sync | Native | No | No | No | | Identity persistence | Built-in (L0 soul) | No | No | No | | Setup time | ~10 minutes | Hours | Hours | Days | | Vendor lock-in | None | Yes | Partial | Partial |

Links

  • Template repo: https://github.com/kingcharleslzy-ai/agent-soul
  • Full docs: See README.md, JOIN.md, SCHEMA.md, SETUP.md in the repo

平台分布

OpenClaw

91.85%
按下载量换算2,166

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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