Immortal Skill

What it does

When your agent uses it

• Tasks that involve Messaging and chat bots

Example prompts

• “/immortal-skill”

Requirements

• Python 3

Workflow steps

8 steps, taken from the step headings in SKILL.md.

1. 1：选择角色模板
2. 2：伦理确认
3. 3：收集材料
4. 4：分维度提取
5. 5：合并与冲突处理
6. 6：初始化目录并写入
7. 7：封包登记
8. 8：告知用户

What it can do on your machine

Read from SKILL.md and the folder at commit cdab91b. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships script files (Python, from the files we listed), which the agent can run.

  Shell commands in SKILL.md call:

  • python3

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

• Network

  No URLs in SKILL.md.

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

• Credentials

  Names no API keys, tokens, secrets or passwords.

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

Context cost

Immortal Skill loads about 927 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 149 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~27

When it runs · the whole SKILL.md, loaded when a task matches

~927

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

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from agenmod/immortal-skill at commit cdab91b, republished under its MIT licence (© agenmod). 149 words, ~927 tokens.

name

immortal-skill

description

通用数字永生框架：从聊天记录、社交媒体、文档等多平台数据中蒸馏任何人的数字分身——支持自己、同事、导师、亲人、伴侣/前任、朋友、公众人物 7 种角色模板，接入国内外 12+ 数据平台。

license

MIT

metadata.kit_version

2

metadata.personas

self, colleague, mentor, family, partner, friend, public-figure

metadata.platforms

feishu, dingtalk, wechat, imessage, telegram, whatsapp, slack, discord, email, twitter, social-archive, manual

你想蒸馏谁？

  [1] 🪞 自己（全维度数字分身）
  [2] 🏢 同事（工作方式与沟通风格）
  [3] 🎓 导师/Mentor（教学方式与指导智慧）
  [4] 🏠 亲人（家族记忆与生活智慧）
  [5] 💕 伴侣/前任（关系记忆与互动模式）
  [6] 🤝 朋友（友谊互动与共同经历）
  [7] 🌐 公众人物（公开方法论）

材料怎么提供？

  [A] 自动采集（推荐）
      飞书 / 钉钉 / Slack / Discord / Telegram / Email
      → 扫描频道 → 拉取消息

  [B] 本地数据库
      微信（需第三方导出或本地 SQLite）
      iMessage（macOS，需 Full Disk Access）

  [C] 归档文件
      WhatsApp 导出 / Twitter/X 归档 / Google Takeout
      Facebook 数据下载 / 微博导出

  [D] 上传/粘贴文件
      PDF / JSON / CSV / Markdown / 纯文本

  [E] 直接粘贴文字

可混用多种方式。

python3 {baseDir}/kit/immortal_cli.py collect --platform <平台> [选项]

python3 {baseDir}/kit/manifest_tool.py init --slug <slug> --base ./skills/immortals --persona <角色>

python3 {baseDir}/kit/manifest_tool.py stamp --slug <slug> --base ./skills/immortals --sources "<来源>"

python3 {baseDir}/kit/version_tool.py snapshot --slug <slug> --base ./skills/immortals --note "追加前"

python3 {baseDir}/kit/version_tool.py list --slug <slug> --base ./skills/immortals
python3 {baseDir}/kit/version_tool.py rollback --slug <slug> --base ./skills/immortals --tag <快照>

© agenmod, 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 74 other files (assets) in the repository root of agenmod/immortal-skill.

• SKILL.md
• .gitignore
• FOR_AI.md
• LICENSE
• README.md
• assets/persona-plaza.png
• collectors/__init__.py
• collectors/base.py
• collectors/dingtalk.py
• collectors/discord.py
• collectors/email_collector.py
• collectors/feishu.py
• collectors/imessage.py
• collectors/manual.py
• collectors/slack.py
• collectors/social_archive.py
• collectors/telegram.py
• collectors/twitter.py
• collectors/wechat.py
• … and 56 more

Open the folder on GitHubat commit cdab91b