Agent skill

Steamer

by agenmod in agenmod/immortal-skill

蒸笼:蒸馏任何人的叙事入口——对齐数字永生引擎,强调生活化「蒸」与公开方法论顾问场景;委托上级 kit/personas 执行。

MITAuto-check passed

Install Steamer

skills CLI
$ npx skills add agenmod/immortal-skill --skill steamer -a claude-code

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

GitHub CLI
$ gh skill install agenmod/immortal-skill steamer --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/agenmod/immortal-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/steamer-skill .claude/skills/steamer && 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
steamer
GitHub stars
1.1k
Token cost
~401 tokens
SKILL.md length
97 words
Files
4
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

蒸笼:蒸馏任何人的叙事入口——对齐数字永生引擎,强调生活化「蒸」与公开方法论顾问场景;委托上级 kit/personas 执行。

  • Works in 4 steps: :对齐预期(蒸笼专属) → :选择角色模板 → :采集材料 → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 复制给 AI, 语言, 何时激活 and 核心理念, plus 4 more sections
  • Calls python3

What it does

Steamer is an agent skill from agenmod/immortal-skill. 蒸笼:蒸馏任何人的叙事入口——对齐数字永生引擎,强调生活化「蒸」与公开方法论顾问场景;委托上级 kit/personas 执行。

Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `README.md`, `examples/README.md` and `recipes/steamer-flow.md`).

The repository describes itself as: ♾️ 开源数字永生框架 — 从聊天记录蒸馏任何人的七维数字分身。支持微信/飞书/iMessage/Telegram等12+平台,7种角色模板,对齐 OpenClaw Soul Spec 标准。一行指令让你的AI学会蒸馏。 The licence is MIT.

When your agent uses it

  • Tasks that involve Messaging and chat bots

Example prompts

  • “/steamer”

Requirements

  • Python 3

Workflow steps

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

  1. :对齐预期(蒸笼专属)
  2. :选择角色模板
  3. :采集材料
  4. 6

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

    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

Steamer loads about 401 tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 97 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~18
When it runs · the whole SKILL.md, loaded when a task matches
~401

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 passed

The automated check found no risky patterns in SKILL.md.

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). 97 words, ~401 tokens.

Download SKILL.mdSave it as .claude/skills/steamer/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
steamer
description
蒸笼:蒸馏任何人的叙事入口——对齐数字永生引擎,强调生活化「蒸」与公开方法论顾问场景;委托上级 kit/personas 执行。
license
MIT

复制给 AI

  • 本 Skill 唯一入口:当前文件 steamer-skill/SKILL.md。
  • 仓库根:假定工作区为克隆后的 immortal-skill/(若文件夹改名,以存在 kit/immortal_cli.py 与根 SKILL.md 的目录为准)。
  • 执行蒸馏时:严格跟随本文件 Phase,技术细节与根目录 SKILL.md 对齐;采集/封包命令形如:python3 kit/immortal_cli.py ...(均在仓库根下执行)。
  • 聚合入口:也可让用户先读仓库根 FOR_AI.md 再选段落。

蒸笼 · Steamer

语言

根据用户第一条消息的语言,全程使用同一语言。

何时激活

  • 用户要「蒸馏任何人」「蒸一个数字分身」「用蒸笼那套」。
  • 用户从 蒸笼 README 或本文件进入,希望按 Phase 完成蒸馏。

核心理念

蒸笼 = 同一个数字永生引擎,换一副好讲的家常叙事。
技术动作与根目录 SKILL.md 一致:选角色 → 采集 → 分维度提取 → 证据分级 → 封包。

路径约定

  • 本 Skill 根目录记为 {baseDir}(即 steamer-skill/)。
  • 引擎根目录记为 {repoRoot} = {baseDir}/..(仓库根)。
  • CLI、personas、recipes 均在 {repoRoot} 下。

操作顺序

Phase 0:对齐预期(蒸笼专属)
  1. 确认对象:任何人;若涉及 公众人物 / 大佬 / 顶流,必须说明 仅使用公开、可追溯材料(讲演、论文、访谈、官方社交帖等)。
  2. 用一句话说清价值:借公开方法论当参谋,不冒充本人、不伪造发言。
Phase 1:选择角色模板

读取 {repoRoot}/personas/ 下对应模板;公众人物必读 {repoRoot}/personas/public-figure.md。

Phase 2:采集材料

按 {repoRoot}/recipes/intake-protocol.md 执行;CLI:python3 {repoRoot}/kit/immortal_cli.py ...。

Phase 3–6

与根 SKILL.md 的 Phase 3–6 完全一致(分维度提取、合并、manifest、告知用户)。

不做的事

  • 不编造非公开隐私;不鼓励未授权冒充真人。
  • 不把蒸笼实现成第二套分叉引擎——始终委托 {repoRoot} 已有工具链。

自检

  • 是否已向用户说明「蒸笼」与根 SKILL.md 是同一引擎?
  • 公众人物场景是否限定公开出处?

© 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 3 other files in steamer-skill of agenmod/immortal-skill.

  • SKILL.md
  • README.md
  • examples/README.md
  • recipes/steamer-flow.md

Open the folder on GitHubat commit cdab91b

Compare with similar skills

Steamer 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.

Steamer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Steamer this skillagenmod/immortal-skill1.1k—~401Automated safety check: PassMIT
Slack Browser Automationvercel-labs/agent-browser44k1 repos~2.1kAutomated safety check: PassApache-2.0
Gzh Designisjiamu/gzh-design-skill3.9k1 repos~2.2kAutomated safety check: PassAGPL-3.0
Feishu Docopenclaw/openclaw392k—~516Automated safety check: PassMIT
LangBot Plugin Developmentlangbot-app/LangBot18k—~3.9kAutomated safety check: PassApache-2.0
Rowboat Spaces Team Chatrowboatlabs/rowboat18k—~1.2kAutomated safety check: PassApache-2.0

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Questions about Steamer

What does Steamer do?

蒸笼:蒸馏任何人的叙事入口——对齐数字永生引擎,强调生活化「蒸」与公开方法论顾问场景;委托上级 kit/personas 执行。. Steamer is an agent skill from agenmod/immortal-skill.

When should I use Steamer?

Steamer fits situations like: tasks that involve Messaging and chat bots.

How do I install Steamer in Claude Code?

Run `npx skills add agenmod/immortal-skill --skill steamer -a claude-code`. Or copy the skill folder (steamer-skill in agenmod/immortal-skill) into .claude/skills/steamer in your project. Claude Code loads it when a task matches its description.

How do I install Steamer in Codex?

Run `npx skills add agenmod/immortal-skill --skill steamer -a codex`. Or copy the skill folder (steamer-skill in agenmod/immortal-skill) into .agents/skills/steamer in your project. Codex loads it when a task matches its description.

Can I use Steamer 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 agenmod/immortal-skill --skill steamer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/steamer, .gemini/skills/steamer, .github/skills/steamer and .opencode/skills/steamer in your project.

What does Steamer need to run?

Going by SKILL.md and its folder, Steamer needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Steamer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Steamer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Steamer use?

Steamer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Steamer use?

About 401 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Steamer?

Skills that share tags, products or a category with Steamer: Slack Browser Automation (vercel-labs/agent-browser, 44k stars), Gzh Design (isjiamu/gzh-design-skill, 3.9k stars), Feishu Doc (openclaw/openclaw, 392k stars) and LangBot Plugin Development (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Steamer?

agenmod (a GitHub user) maintains it in agenmod/immortal-skill, which has 1,077 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on April 15, 2026.

Source: agenmod/immortal-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.