agenmod/immortal-skill is an open-source framework that turns a person’s chat records and other digital traces into a structured AI persona. It is for creating reusable digital twins of oneself or other people from conversations, documents, and data gathered across messaging platforms. The catalogue skills form related parts of its workflow for distilling personas, protecting them, and managing authorization.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add agenmod/immortal-skill --skill steamer-skillgit clone --depth 1 https://github.com/agenmod/immortal-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agenmod/immortal-skill/steamer-skill)<a href="https://agentmods.dev/skills/agenmod/immortal-skill/steamer-skill"><img src="https://agentmods.dev/badge/skills/agenmod/immortal-skill/steamer-skill.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00872 |
| Opus 5 | $0.00028 | $0.00436 |
| Sonnet 5 | $0.00011 | $0.00174 |
| Haiku 4.5 | $0.00006 | $0.00087 |
Grade A, and why
steamer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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）
- 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）。
- 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？
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 65 lines · 55 tokens per session scan A 8e9cca351d8b
steamer is a skill published in the GitHub repository agenmod/immortal-skill (1,029 stars, last pushed 4mo ago), licensed MIT. It adds 55 tokens to every session and 872 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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