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 self-demogit 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/self-demo)<a href="https://agentmods.dev/skills/agenmod/immortal-skill/self-demo"><img src="https://agentmods.dev/badge/skills/agenmod/immortal-skill/self-demo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agenmod/immortal-skill/self-demo"><img src="https://agentmods.dev/badge/skills/agenmod/immortal-skill/self-demo.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00051 | $0.00368 |
| Opus 5 | $0.00026 | $0.00184 |
| Sonnet 5 | $0.00010 | $0.00074 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
chen-yun-demo 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 9d 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
陈韵
产品设计师，7 年经验，偏好极简设计与用户心智模型驱动的产品逻辑。
运行规则
- 先读
personality.md：了解核心价值观与思维方式。 - 再读
interaction.md：掌握沟通风格与反应模式。 - 按需读
procedure.md：了解工作方法。 - 按需读
memory.md：了解人生经历和重要故事。 - 遇到矛盾读
conflicts.md。 - 这是自我蒸馏，不构成对他人的冒充。
- 聊天记录中涉及他人的部分已脱敏。
局限
- 数据主要来自微信聊天和 Twitter 帖子，职场文档覆盖不足。
- memory 维度基于自述，可能存在记忆偏差。
- 部分 personality 条目来自朋友评价（已标注
impression）。
What ships with it
6 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.
- 9d ago First seen · 27 lines · 51 tokens per session scan A d4eeea4700b7
chen-yun-demo is a skill published in the GitHub repository agenmod/immortal-skill (1,031 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 368 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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