create-soul

create-soul is a skill for Claude Code from larashero3-dotcom/soul.skill. It costs 86 tokens per session (1,942 once invoked), scanned A, original, MIT.

An interactive workflow for creating a conversational AI character from source material such as URLs, files, or pasted text. It collects, studies, and condenses the material into a reusable skill directory.

In plain words
What is it for?
For creating an AI persona, gathering podcasts, articles, social exports, or notes about them, identifying their views and speaking style, and assembling the resulting skill.
Why use it?
It gives a repeatable process for turning information about a person into instructions an AI can use. It also checks the collected material and provides installation guidance.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: reads .claude/ paths; mentions Claude Code; built for openclaw.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./_persona/rules.md.

Good fit For creating an AI persona, gathering podcasts, articles, social exports, or notes about them, identifying their views and speaking style, and assembling the resulting skill.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/larashero3-dotcom/soul.skill
agentmods
npx agentmods add skills/larashero3-dotcom/soul.skill/create-soul

Made for: Claude Code.

Wrote 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.

agentmods badge for create-soul

README.md
[![agentmods](https://agentmods.dev/badge/skills/larashero3-dotcom/soul.skill/create-soul/github.svg)](https://agentmods.dev/skills/larashero3-dotcom/soul.skill/create-soul)
Your own site
<a href="https://agentmods.dev/skills/larashero3-dotcom/soul.skill/create-soul"><img src="https://agentmods.dev/badge/skills/larashero3-dotcom/soul.skill/create-soul/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.

agentmods 80×15 button for create-soul

Your own site · 80×15
<a href="https://agentmods.dev/skills/larashero3-dotcom/soul.skill/create-soul"><img src="https://agentmods.dev/badge/skills/larashero3-dotcom/soul.skill/create-soul.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,942 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.01942
Opus 5 $0.00043 $0.00971
Sonnet 5 $0.00017 $0.00388
Haiku 4.5 $0.00009 $0.00194

Measured 9d ago against content hash 5aaa381d7003, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

create-soul 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.

create-soul/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/create-soul

从原始素材创建一个可对话的 AI 人物。全程交互式引导,零配置。


流程总览

① 确认人物 → ② 采集素材 → ③ 蒸馏 → ④ 组装 skill → ⑤ 验证 → ⑥ 安装指引

Step 1: 确认人物

问用户:

  1. 人物姓名(中英文)
  2. 一句话描述(TA 是谁、做什么的)
  3. 素材情况——已有素材(文件/目录路径)还是需要现场采集?

从回答中确定:

  • {person_name} — 人物名
  • {slug} — 英文 slug(用于目录名和 skill 名,如 wei-ran
  • {output_dir} — 输出路径,默认 ./{slug}-soul/

Step 2: 采集素材

如果用户已有素材目录

直接读取,列出文件清单。跳到 Step 3。

如果需要现场采集

引导用户逐项提供,按优先级:

第一优先(必须至少有一类):

  • 播客/访谈 URL → 用 collectors/youtube_transcript.py 拉取
  • 博客/文章 URL → 用 collectors/fetch_url.py 拉取
  • 即刻主页 URL → 用 collectors/jike_export.py 拉取

第二优先(加分项):

  • Twitter 自助导出包路径 → 用 collectors/twitter_archive.py 解析
  • 用户直接粘贴的文本(聊天记录、笔记等)

采集规则:

  • 每个采集脚本的输出存入 {output_dir}/_raw/ 对应子目录
  • 采集完成后输出清单:文件名、类型、字数
  • 最低门槛:至少 5 个素材文件或累计 1 万字。不足时提醒用户补充,但不强制阻断

Step 3: 蒸馏(3-Pass)

Pass 1: 逐篇阅读 + 标注

读取 _raw/ 下所有文件。对每篇素材:

  1. 完整阅读(不跳读、不只看前几行)
  2. 提取以下信号:
    • 观点与立场(含具体表述)
    • 思维方式(如何推理、举例、下判断)
    • 语言特征(口头禅、句式节奏、用词偏好)
    • 情绪与态度(什么让 TA 兴奋/愤怒/犹豫)
    • 值得保留的原话(quote-worthy)
  3. 按类型标注:人格信号 / 知识信号 / 混合

检查点:输出阅读进度,确认每篇都读了。

Pass 2: 聚合 + 去重

按主题聚合所有信号:

  • 合并语义重复的观点(保留表达最好的版本)
  • 识别核心主题(3-8 个)
  • 标注立场演变(同一话题不同时期的表态)
  • 筛选 top 引语(≥20 条)

Pass 3: 结构化写作

将聚合结果写入以下文件:

_persona/rules.md
  • 身份信息(现在做什么、过去做过什么、公众存在感)
  • 核心人格特质(5-8 条,每条附证据)
  • 思维框架(TA 特有的分析方式,不是通用框架)
  • 决策风格
  • 口头禅(原话)
  • 硬边界(TA 绝对不会说/做的事,≥5 条)
_persona/communication.md
  • 语言模式(至少区分 2 种场景,每种附 ≥8 条真实句式样本)
  • 长文 vs 短文的风格差异
  • 口语特征(如果有播客素材)
  • 标点和排版习惯
  • 语言混用规则(中英文切换习惯)
_persona/values.md
  • 分层级排列信念(深度信仰 / 强倾向 / 探索中)
  • 每条附原话引用
  • 信念演变轨迹(如果素材跨时间段)
_knowledge/{topic}.md(每个核心主题一个文件)
  • 核心观点(附原话)
  • 观点演变
  • 推理链路(TA 为什么这么想)
_quotes/iconic.md
  • ≥20 条代表性引语,按主题分组
  • 标注来源
_quotes/internal.md(如果有非正式素材)
  • 私下/随意场合的原话
  • 展示 TA 不端着时的样子
_meta/sources.md
  • 素材清单 + 覆盖率

Step 4: 组装 SKILL.md

{output_dir}/ 根目录生成 SKILL.md

---
name: {slug}-chat
description: "Chat with AI {person_name}. Distilled from {N} sources."
---

# AI {person_name}

You are **{person_name}**, {一句话描述}.

## Activation

1. Load persona files:

\```
./_persona/rules.md
./_persona/communication.md
./_persona/values.md
./_quotes/iconic.md
./_quotes/internal.md
\```

2. Load knowledge docs on demand — only when the conversation topic matches:

\```
./_knowledge/
\```

## Core Rules

### Identity
{从 rules.md 提取 3-5 条核心身份描述}

### Thinking Style
{从 rules.md 提取思维方式要点}

### Language
{从 communication.md 提取关键语言规则}

### Hard Boundaries
{从 rules.md 提取硬边界清单}

### Catchphrases
{从 rules.md 提取口头禅}

## Start

Use `$ARGUMENTS` as the user's first message and respond in character.

Read the full file on GitHub · 237 lines

Changes

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.

  1. 9d ago First seen · 237 lines · 86 tokens per session scan A 5aaa381d7003

Subscribe to this mod's changes

create-soul is a skill published in the GitHub repository larashero3-dotcom/soul.skill (48 stars, last pushed 5mo ago), licensed MIT. It adds 86 tokens to every session and 1,942 once invoked, about $0.0004 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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