Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add L-LesterYu/OpenClaw-hot-skills-zh/plugin install hiivmind-openclaw-osWrote 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/l-lesteryu/openclaw-hot-skills-zh/persona-setup)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/persona-setup"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/persona-setup/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/l-lesteryu/openclaw-hot-skills-zh/persona-setup"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/persona-setup.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 | $0.00123 | $0.03876 |
| Opus 5.5 | $0.00049 | $0.01550 |
| Sonnet 5.5 | $0.00025 | $0.00775 |
| Haiku 4.5 | $0.00012 | $0.00388 |
Grade A, and why
persona-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 455 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI 人格操作系统设置向导
本技能引导用户完成 AI 人格操作系统的首次运行设置,在 ~/workspace 创建个性化工作区并配置人格文件。
概述
设置向导执行以下操作:
- 检测现有安装以避免覆盖用户数据
- 展示预设选择菜单,提供 4 种人格模板
- 通过交互式问题收集个性化上下文
- 使用适当的模板和示例构建工作区结构
- 显示完成摘要并提供可选的高级功能
关键规则
- 绝不要告诉用户运行命令 — 始终使用 Bash 工具直接执行命令
- 未经用户明确许可,绝不要修改现有工作区文件
- 只存在 4 个已记录的预设(coding-assistant、executive-assistant、marketing-assistant、custom)
- 所有操作仅限于
~/workspace范围内 - 高级功能(cron、网关、Discord)仅为可选提及,绝不强行推送
阶段 1:安装后检测
步骤 1.1:检查现有工作区
使用 Bash 工具检查 ~/workspace 是否存在并包含核心文件:
if [ -d ~/workspace ]; then
existing_files = []
for file in SOUL.md USER.md MEMORY.md; do
if [ -f ~/workspace/$file ]; then
existing_files.append(file)
fi
done
if existing_files.length > 0; then
state.workspace_exists = true
state.existing_files = existing_files
fi
fi
步骤 1.2:处理现有安装
如果 state.workspace_exists == true,通知用户:
"检测到 ~/workspace 下已有 AI 人格操作系统工作区,包含以下文件:[列出 state.existing_files]。此设置向导用于全新安装。您希望:
- 跳过设置,使用现有工作区
- 创建备份并重新初始化(将备份到 ~/workspace.backup.TIMESTAMP)
- 取消设置"
根据响应:
- 跳过:以成功消息退出
- 备份:使用 Bash 执行
mv ~/workspace ~/workspace.backup.$(date +%Y%m%d_%H%M%S),然后进入阶段 2 - 取消:正常退出
如果未检测到现有工作区,进入阶段 2。
阶段 2:预设选择
步骤 2.1:展示预设菜单
向用户展示以下完全一致的预设选择菜单(原文照搬):
欢迎使用 AI 人格操作系统设置!
请选择一个预设以开始:
1. 编程助手
- 协助软件开发、调试、代码审查
- 主动建议测试、文档编写、代码重构
- 跟踪项目、任务、技术决策
2. 行政助理
- 管理日程、会议、邮件草稿
- 主动提醒、截止日期跟踪、优先级管理
- 处理通讯、报告、战略规划支持
3. 营销助手
- 内容创作、活动策划、数据分析
- 主动内容创意、发布提醒、趋势分析
- 社交媒体管理、SEO 优化、受众洞察
4. 自定义人格
- 定义自己的人格名称、角色和行为
- 选择沟通风格和主动程度
- 完全控制人格和能力
您希望选择哪个预设?(1-4)
步骤 2.2:捕获预设选择
使用 AskUserQuestion 获取选择:
{
"questions": [
{
"id": "preset_choice",
"question": "您希望选择哪个预设?(1-4)",
"default": "1"
}
]
}
映射响应:
1→state.preset = "coding-assistant"2→state.preset = "executive-assistant"3→state.preset = "marketing-assistant"4→state.preset = "custom"- 模糊/不清楚的回答 →
state.preset = "coding-assistant"(默认)
将预设存储在 state.preset。
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.
- 2mo ago First seen · 455 lines · 123 tokens per session scan A 98766a1f9a75
persona-setup is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (57 stars, last pushed 7mo ago), licensed MIT. It adds 123 tokens to every session and 3,876 once invoked, about $0.0005 per session on Opus 5.5. 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.
persona-setup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| persona-setupL-LesterYu/OpenClaw-hot-skills-zh | Skill | 57 | 7mo ago | MIT | A | 123 | Claude Code |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | today | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 69k | yesterday | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | today | CC0-1.0 | A | 0 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | 2d ago | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | yesterday | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | today | MIT | A | 115 | Claude Code, Codex |