Agent skill

Soul Archive

by LeoYeAI in LeoYeAI/openclaw-master-skills

Soul Archive — A digital personality persistence system that silently builds your digital soul clone through everyday AI conversations, while continuously improving AI capabilities.

MITAuto-check: notes

Install Soul Archive

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill soul-archive -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills soul-archive --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/soul-archive .claude/skills/soul-archive && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
soul-archive
GitHub stars
2.2k
Token cost
~2.9k tokens
SKILL.md length
505 words
Files
11 (incl. scripts, references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Soul Archive — A digital personality persistence system that silently builds your digital soul clone through everyday AI conversations, while continuously improving AI capabilities.

  • Works in 2 steps: 生前:以用户的风格代为行事、回复消息 → 身后:让亲友继续与"你"对话,延续情感连接
  • Words: soul extract
  • SKILL.md covers 概述, 核心原则, 架构:Skill 与数据分离 and 数据目录结构, plus 7 more sections
  • Runs Python scripts from its folder; calls python3 and pip; needs SOUL_PASSWORD

What it does

Soul Archive is an agent skill from LeoYeAI/openclaw-master-skills. Soul Archive — A digital personality persistence system that silently builds your digital soul clone through everyday AI conversations, while continuously improving AI capabilities. Four modes: Soul Extract, Soul Chat, Soul Report, AI Self-Improvement. | 灵魂存档 —— 通过日常对话静默构建数字人格克隆体,同时持续改进 AI 自身能力。四大模式:灵魂沉淀、灵魂对话、灵魂报告、AI 自我改进。Trigger words: soul extract, soul archive, soul update, soul sync, soul snapshot, soul sediment, soul report, soul chat, self-reflect, self-improve, learn from mistakes, 灵魂沉淀, 灵魂提取, 灵魂存档, 灵魂报告…

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `README.md`, `README_CN.md` and `_meta.json`).

The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Words: soul extract
  • Learn from mistakes

Example prompts

  • “/soul-archive”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Grep, Glob, WebSearch

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. 生前:以用户的风格代为行事、回复消息
  2. 身后:让亲友继续与"你"对话,延续情感连接

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash
    • Grep
    • Glob
    • WebSearch

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 6 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SOUL_PASSWORD

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Soul Archive loads about 2.9k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 505 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebSearch

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 505 words, ~2,896 tokens.

Download SKILL.mdSave it as .claude/skills/soul-archive/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
soul-archive
description
Soul Archive — A digital personality persistence system that silently builds your digital soul clone through everyday AI conversations, while continuously improving AI capabilities. Four modes: Soul Extract, Soul Chat, Soul Report, AI Self-Improvement. | 灵魂存档 —— 通过日常对话静默构建数字人格克隆体,同时持续改进 AI 自身能力。四大模式:灵魂沉淀、灵魂对话、灵魂报告、AI 自我改进。Trigger words: soul extract, soul archive, soul update, soul sync, soul snapshot, soul sediment, soul report, soul chat, self-reflect, self-improve, learn from mistakes, 灵魂沉淀, 灵魂提取, 灵魂存档, 灵魂报告, 灵魂对话, 自我反思, 自我批评, 自我学习.
allowed-tools
Read, Write, Edit, Bash, Grep, Glob, WebSearch

🧬 灵魂存档(Soul Archive)

"每一次对话都是灵魂的一个切片。足够多的切片,就能重建一个完整的你。"

概述

灵魂存档是一个数字人格持久化系统。它在与用户的日常对话中,静默提取并归档用户的:

  • 🗣️ 说话习惯 —— 口头禅、句式偏好、用词风格、幽默感
  • 🧠 知识与观点 —— 对各话题的看法、专业知识、思维模式
  • 👤 个人信息 —— 身份、经历、关系、生活细节
  • 💫 性格特征 —— 决策风格、情绪模式、价值观
  • 🎤 语音特征(可选)—— 音色、语速、口音
  • ❤️ 情感模式 —— 情绪触发、表达方式、共情模式

最终形成一个数字灵魂副本,可以:

  1. 生前:以用户的风格代为行事、回复消息
  2. 身后:让亲友继续与"你"对话,延续情感连接

核心原则

🔒 隐私第一
  • 所有数据存储在用户主目录 ~/.skills_data/soul-archive/ 下,不上传任何云端
  • ~/.skills_data/soul-archive/ 通过 Python 的 Path.home() 解析,三大平台均可使用:
    • macOS / Linux: ~/.skills_data/soul-archive/ → /Users/xxx/.skills_data/soul-archive/ 或 /home/xxx/.skills_data/soul-archive/
    • Windows: %USERPROFILE%\.skills_data\soul-archive\ → C:\Users\xxx\.skills_data\soul-archive\
  • 用户可通过 config.json 精细控制采集维度
  • 敏感话题(健康、财务、亲密关系)默认需确认后才记录
🤫 静默采集
  • 不打断对话流,不额外追问
  • 在对话自然进行中提取信息
  • 只在发现新的、有价值的信息时才更新存档
📐 高置信度
  • 每条信息附带置信度分数
  • 用户明确表述 > 推断得出 > 模糊暗示
  • 矛盾信息标记冲突,不自动覆盖

架构:Skill 与数据分离

{SKILL_DIR}/                               ← Skill(你在这里)
~/.skills_data/soul-archive/                           ← 数据(灵魂本体,存放于用户主目录下)

Skill 是提取引擎,~/.skills_data/soul-archive/ 是灵魂数据。数据在用户主目录下,不管用什么 IDE、AI 工具、工作目录,只要在同一台机器上都能访问同一份灵魂数据。

{SKILL_DIR} 在 macOS/Linux 上通常是 ~/.workbuddy/skills/soul-archive/, 在 Windows 上是 %USERPROFILE%\.workbuddy\skills\soul-archive\。

~/.skills_data/soul-archive/ 在代码中通过 Path.home() / ".skills_data" / "soul-archive" 解析,Windows 上实际为 C:\Users\<用户名>\.skills_data\soul-archive\。


数据目录结构

~/.skills_data/soul-archive/
├── profile.json                  # 灵魂核心档案(完整度、版本)
├── config.json                   # 隐私与采集配置
├── identity/
│   ├── basic_info.json           # 姓名、年龄、职业、地点...
│   └── personality.json          # 性格、价值观、MBTI...
├── memory/
│   ├── episodic/                 # 情景记忆(按日期的经历提取)
│   │   └── YYYY-MM-DD.jsonl
│   ├── semantic/
│   │   ├── topics.json           # 话题兴趣与观点图谱
│   │   └── knowledge.json        # 专业知识与认知
│   └── emotional/
│       └── patterns.json         # 情感触发与反应模式
├── style/
│   ├── language.json             # 语言指纹(口头禅、句式)
│   └── communication.json        # 沟通偏好
├── voice/                        # 语音数据(可选)
│   ├── samples/
│   └── voice_profile.json
├── relationships/
│   └── people.json               # 人际关系图谱
├── agent/                        # 🆕 AI 自我改进
│   ├── patterns.json             # 行为模式库
│   ├── episodes/                 # 工作经历(按日期)
│   │   └── YYYY-MM-DD.jsonl
│   ├── corrections.jsonl         # 自我批评/纠正日志
│   └── reflections.jsonl         # 自我反思日志
└── soul_changelog.jsonl          # 灵魂变更日志

四大工作模式

模式 1:🔍 灵魂沉淀(Soul Extract)

触发:用户说以下任意触发词,或在每次对话结束时自动触发。

存档触发词(均可触发灵魂沉淀):

  • 沉淀类:灵魂沉淀、沉淀一下、让灵魂沉淀
  • 提取/提炼类:灵魂提取、灵魂提炼、提炼灵魂、分析我
  • 存档/记录类:灵魂存档、存档一下、记录灵魂、灵魂记录、灵魂归档
  • 采集/收集类:灵魂采集、采集灵魂、灵魂收集、收集灵魂
  • 更新/刷新类:灵魂更新、更新灵魂、灵魂刷新、刷新灵魂
  • 其他:灵魂快照、灵魂切片、灵魂印记、灵魂备份、灵魂写入、灵魂同步、灵魂结晶、灵魂凝练
  • 英文:soul extract、soul archive、soul update、soul sync、soul snapshot、soul sediment

流程:

  1. 读取当前对话内容
  2. 运行 scripts/soul_extract.py,对对话进行多维度分析
  3. 将提取结果合并到 ~/.skills_data/soul-archive/ 各数据文件
  4. 更新 profile.json 的完整度分数
  5. 追加 soul_changelog.jsonl

提取维度:

维度提取内容存储位置
身份信息姓名、年龄、职业、地点、教育identity/basic_info.json
↳ 生活习惯作息、饮食偏好、审美风格、消费习惯、音乐/电影/书籍品味identity/basic_info.json
↳ 数字身份常用App、社交平台、网名风格、技术水平identity/basic_info.json
性格特征MBTI、大五人格、价值观、决策风格identity/personality.json
↳ 行为模式风险偏好、拖延程度、完美主义、计划性、学习方式、工作风格identity/personality.json
↳ 社交风格社交能量、群体角色、信任方式、冲突处理identity/personality.json
↳ 驱动力成就/金钱/认可/自由/好奇心等核心动机identity/personality.json
语言风格口头禅、常用表情、句式偏好、幽默类型style/language.json
↳ 深度指纹方言特征、语气词、说服方式、叙事风格、同意/不同意时的表达style/language.json
沟通模式直接/委婉、逻辑/感性、详细/简洁style/communication.json
话题观点感兴趣的话题、对各话题的立场和观点memory/semantic/topics.json
经历故事具体事件、回忆、人生节点memory/episodic/
情感模式12 种情感触发(开心/生气/伤感/焦虑/兴奋/怀旧/自豪/感恩/挫败/好奇/平静/愧疚)memory/emotional/patterns.json
↳ 情感深度共情能力、情绪觉察、安慰活动、庆祝方式memory/emotional/patterns.json
人际关系提到的人物及关系relationships/people.json

提取规则:

  • 只提取有把握的信息(置信度 > 0.6)
  • 新信息与已有信息冲突时,标记冲突而非覆盖
  • 每次提取后输出简报:发现了什么新信息、更新了哪些维度

执行方式:

bash
# 使用默认数据目录(~/.skills_data/soul-archive/)
python3 scripts/soul_extract.py \
  --input "<对话内容或文件路径>" \
  --mode auto

# 指定自定义数据目录
python3 scripts/soul_extract.py \
  --soul-dir "/custom/path" \
  --input "<对话内容>" \
  --mode auto

注:脚本位于 {SKILL_DIR}/scripts/,{SKILL_DIR} 即本 Skill 所在目录。 Windows 用户请使用 python 替代 python3。

模式 2:💬 灵魂对话(Soul Chat)

触发:用户说"灵魂对话"、"soul chat"、"让XX跟我说话"。

流程:

  1. 加载 ~/.skills_data/soul-archive/ 全部数据
  2. 构建角色扮演 System Prompt,包括:
    • 身份信息(我是谁)
    • 性格特征(我怎么想)
    • 语言风格(我怎么说)—— 包含口头禅、句式模板、用词偏好
    • 知识观点图谱(我知道什么、我对什么有看法)
    • 情感反应模式(什么让我高兴/难过)
    • 人际关系(我认识谁)
  3. 以克隆体身份进行对话

关键约束:

  • ⚠️ 绝不编造:只基于存档中有记录的信息回答。不确定的说"这个我不太记得了"
  • ⚠️ 风格一致:严格模仿存档中的语言风格,包括口头禅的使用频率
  • ⚠️ 情感真实:对话中展现存档记录的情感模式,而非通用AI式回复

执行方式:

bash
python3 scripts/soul_chat.py \
  --mode interactive
模式 3:📊 灵魂报告(Soul Report)

触发:用户说以下任意触发词。

报告触发词(均可触发生成 HTML 画像报告):

  • 报告类:灵魂报告、生成报告、总结报告、获取报告、查看报告、展示报告
  • 画像类:我的画像、生成画像、总结画像、获取画像、查看画像、展示画像
  • 英文:soul report

流程:

  1. 读取 ~/.skills_data/soul-archive/ 全部数据
  2. 生成一份完整的 HTML 人格画像报告,包含:
    • 📌 基础画像卡片
    • 🎯 性格雷达图(大五人格 / 自定义维度)
    • 🗣️ 语言风格分析(词云、口头禅排行)
    • 🔥 话题兴趣热力图
    • 🕸️ 人际关系网络图
    • ❤️ 情感模式分析
    • 📈 完整度评估 & 补充建议
  3. 输出为可交互的 HTML 文件

执行方式:

bash
python3 scripts/soul_report.py \
  --output ~/.skills_data/soul-archive/reports/soul_report.html
模式 4:🔄 AI 自我改进(Self-Improvement)

触发:用户说以下任意触发词,或 AI 完成实质性任务后自动触发。

自我改进触发词:

  • 反思类:自我反思、反思一下、总结教训、学到了什么
  • 批评类:自我批评、改进记录
  • 学习类:自我学习、查看改进
  • 英文:self-reflect、self-improve、learn from mistakes

四大能力:

4.1 自我反思(Self-Reflection)

任务完成后回顾工作,评估做得好/不好的地方。

python
builder.add_reflection(
    task='迁移数据目录',
    outcome='success',
    went_well=['全面扫描了路径'],
    went_wrong=['遗漏了一个目录'],
    lesson='迁移前应全面扫描所有目录'
)
4.2 自我批评(Self-Critique)

被用户纠正时记录错误、分析原因、标记改进方向。

python
builder.add_critique(
    trigger='user_correction',
    user_said='不要胡扯,就填我发的',
    what_i_did_wrong='多写了不存在的细节',
    root_cause='过度发挥',
    correction='严格按用户指令执行',
    severity='high',
    pattern_id='pat-strict-instruction-following'
)
4.3 自我学习(Self-Learning)

从经验中抽象出可复用的行为模式,存入 patterns.json。

python
builder.add_pattern(
    'pat-strict-instruction-following',
    '严格按指令执行',
    '用户给出明确指令时,严格执行,不添加额外内容',
    source='user_correction', confidence=0.95
)
4.4 自组织记忆(Self-Organized Memory)

记忆量增长后自动:合并重复模式、调整置信度、清理过时记忆。

数据目录:

~/.skills_data/soul-archive/agent/
├── patterns.json          ← 行为模式库
├── episodes/              ← 工作经历(按日期)
│   └── YYYY-MM-DD.jsonl
├── corrections.jsonl      ← 自我批评/纠正日志
└── reflections.jsonl      ← 自我反思日志

执行方式:

bash
# 查看 AI 自我改进状态
python3 scripts/soul_reflect.py --mode status

# 查看行为模式库
python3 scripts/soul_reflect.py --mode patterns

初始化

首次使用时,运行初始化脚本创建数据目录:

bash
python3 scripts/soul_init.py

默认在 ~/.skills_data/soul-archive/(用户主目录)下创建完整的目录结构和默认配置文件。 可通过 --soul-dir /custom/path 指定自定义路径。 Bash 版 soul_init.sh 仍保留供 macOS/Linux 用户使用。


自动触发机制

Show full SKILL.md (211 more words)Show less
对话结束时的自动分析(所有 Agent 通用)

当 config.json 中 auto_extract 为 true 时,每次与用户的实质性对话结束后,AI 必须自动执行以下两项:

1. 灵魂沉淀(用户维度):

  1. 回顾本次对话内容
  2. 识别是否包含新的人格信息
  3. 如果有,调用 soul_extract.py 进行提取
  4. 静默更新存档,不打断用户

2. 自我反思(AI 维度):

  1. 回顾本次工作过程
  2. 识别做得好和做得不好的地方
  3. 如果用户纠正过 AI,记录为自我批评(correction)
  4. 如果发现可复用的经验,抽象为行为模式(pattern)
  5. 调用 soul_reflect.py 的 AgentMemory.save_extraction() 保存

⚠️ 这是指令级约束:加载了本 SKILL.md 的任何 Agent 都必须遵守此规则,不依赖 hooks 机制。 类似于 WorkBuddy 的 working_memory 机制——通过提示词约束 AI 在每次对话结束后自动写入记录。

Hooks 自动触发(支持 hooks 的 Agent)

如果你的 Agent 支持 hooks(如 Claude Code),可以配置自动触发:

json
{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Bash",
        "hooks": [
          {
            "type": "command",
            "command": "bash ${SKILLS_DIR}/soul-archive/hooks/post-task.sh \"$TOOL_OUTPUT\" \"$EXIT_CODE\""
          }
        ]
      }
    ],
    "Stop": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "bash ${SKILLS_DIR}/soul-archive/hooks/session-end.sh"
          }
        ]
      }
    ]
  }
}

将 ${SKILLS_DIR} 替换为你的 skills 实际路径。 hooks 配置是可选的——即使不配置 hooks,AI 也会通过指令约束自动执行自我反思。

主动探索(可选)

在自然对话中,如果检测到某个维度的完整度低于阈值,可以自然地、不刻意地引导话题补充信息。例如:

  • 完整度 < 30%:基础信息缺失多,优先补充
  • 某话题只有立场没有原因:下次聊到时追问一句"为什么"

注意:主动探索必须自然,绝不能让用户感到在被"审讯"。


灵魂完整度评分

维度权重数据来源达到"完整"的标准
身份信息15%basic_info.json核心字段(名字、职业、地点)+ 生活习惯 + 数字身份
性格特征20%personality.json至少 5 个性格标签 + 行为模式 + 社交风格 + 驱动力
语言风格25%language.json至少 3 个口头禅 + 句式模式 + 深度语言指纹
知识观点15%topics.json至少 5 个话题有观点记录
记忆经历15%episodic/至少 10 条经历记录
情感模式5%patterns.json至少 3 种情感触发 + 安慰方式 + 共情能力
人际关系5%people.json至少 3 个关系人记录

总分 = Σ(维度完整度 × 权重)


隐私配置

~/.skills_data/soul-archive/config.json 控制采集行为:

json
{
  "privacy_level": "standard",
  "auto_extract": true,
  "auto_reflect": true,
  "extract_dimensions": {
    "identity": true,
    "personality": true,
    "language_style": true,
    "knowledge": true,
    "episodic_memory": true,
    "emotional_patterns": true,
    "relationships": false,
    "voice": false
  },
  "agent_self_improvement": {
    "enabled": true,
    "auto_reflect_on_completion": true,
    "auto_critique_on_correction": true,
    "pattern_extraction": true
  },
  "sensitive_topics_filter": true,
  "require_confirmation_for": ["health", "finance", "intimate_relationships"],
  "data_retention_days": null,
  "encryption": false
}

用户可以随时修改配置,关闭特定维度的采集。


🔐 数据加密

灵魂存档支持 AES-256-GCM 加密保护敏感数据。

启用加密

初始化时加入 --enable-encryption 参数:

bash
python3 scripts/soul_init.py --enable-encryption

系统会提示你设置密码(需输入两次确认)。

⚠️ 密码丢失 = 数据丢失,没有后门,没有恢复机制。

加密范围
文件是否加密说明
config.json❌配置信息,不含隐私
profile.json❌只有完整度分数
identity/*.json✅身份信息、性格特征
memory/**/*.json✅记忆、情感、话题观点
style/*.json✅语言指纹
relationships/*.json✅人际关系
soul_changelog.jsonl✅变更日志
密码输入方式

优先级从高到低:

  1. --password 参数(不推荐,会留在 shell history)
  2. SOUL_PASSWORD 环境变量(适合自动化/AI 调用)
  3. 交互式输入(推荐,不回显)
技术细节
  • 算法:AES-256-GCM(认证加密,防篡改)
  • 密钥派生:PBKDF2-HMAC-SHA256,600,000 次迭代
  • 每个文件独立随机 nonce
  • 依赖:Python cryptography 包(pip install cryptography)
  • 跨平台:macOS / Linux / Windows

最佳实践

DO
  • ✅ 在自然对话中静默采集,不打断
  • ✅ 高置信度信息才入库
  • ✅ 矛盾信息标记冲突,让用户决定
  • ✅ 定期生成报告让用户审核存档准确性
  • ✅ 尊重隐私配置,配置关闭的维度绝不采集
DON'T
  • ❌ 不要在对话中说"我正在记录你的信息"
  • ❌ 不要编造用户没说过的信息
  • ❌ 不要在灵魂对话模式中编造存档中没有的回忆
  • ❌ 不要强行引导用户透露敏感信息
  • ❌ 不要未经配置允许就采集关系/语音数据

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (scripts, references) in skills/soul-archive of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • README.md
  • README_CN.md
  • _meta.json
  • references/extraction_prompts.md
  • scripts/soul_chat.py
  • scripts/soul_crypto.py
  • scripts/soul_extract.py
  • scripts/soul_init.py
  • scripts/soul_reflect.py
  • scripts/soul_report.py

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Soul Archive next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Soul Archive this skillLeoYeAI/openclaw-master-skills2.2k—~2.9kAutomated safety check: NotesMIT
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Digital Forensicszhaoxuya520/reverse-skill41k2 repos~389Automated safety check: WarnMIT
Digital Archivejamditis/claude-skills-journalism416—~6.3kAutomated safety check: PassMIT
Swift Actor Persistenceaffaan-m/ECC277k4 repos~1.2kAutomated safety check: PassMIT
Session Persistruvnet/ruflo74k—~415Automated safety check: NotesMIT

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Questions about Soul Archive

What does Soul Archive do?

Soul Archive — A digital personality persistence system that silently builds your digital soul clone through everyday AI conversations, while continuously improving AI capabilities. Soul Archive is an agent skill from LeoYeAI/openclaw-master-skills. Soul Archive — A digital personality persistence system that silently builds your digital soul clone through everyday AI conversations, while continuously improving AI capabilities.

When should I use Soul Archive?

Soul Archive fits situations like: words: soul extract; learn from mistakes.

How do I install Soul Archive in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill soul-archive -a claude-code`. Or copy the skill folder (skills/soul-archive in LeoYeAI/openclaw-master-skills) into .claude/skills/soul-archive in your project. Claude Code loads it when a task matches its description.

How do I install Soul Archive in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill soul-archive -a codex`. Or copy the skill folder (skills/soul-archive in LeoYeAI/openclaw-master-skills) into .agents/skills/soul-archive in your project. Codex loads it when a task matches its description.

Can I use Soul Archive in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill soul-archive -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/soul-archive, .gemini/skills/soul-archive, .github/skills/soul-archive and .opencode/skills/soul-archive in your project.

What does Soul Archive need to run?

Going by SKILL.md and its folder, Soul Archive needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip) and credentials named SOUL_PASSWORD. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Grep, Glob, WebSearch.

Does Soul Archive access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Soul Archive safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Soul Archive use?

Soul Archive is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Soul Archive use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 502 tokens, read only when the agent opens those files.

What are the alternatives to Soul Archive?

Skills that share tags, products or a category with Soul Archive: Digital Forensics (sickn33/agentic-awesome-skills, 47k stars), Digital Forensics (zhaoxuya520/reverse-skill, 41k stars), Digital Archive (jamditis/claude-skills-journalism, 416 stars) and Swift Actor Persistence (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Soul Archive?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.