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.
git clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote 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/commands/l-lesteryu/openclaw-hot-skills-zh/persona)<a href="https://agentmods.dev/commands/l-lesteryu/openclaw-hot-skills-zh/persona"><img src="https://agentmods.dev/badge/commands/l-lesteryu/openclaw-hot-skills-zh/persona/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/commands/l-lesteryu/openclaw-hot-skills-zh/persona"><img src="https://agentmods.dev/badge/commands/l-lesteryu/openclaw-hot-skills-zh/persona.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 | $0.00000 | $0.00546 |
| Opus 5 | $0.00000 | $0.00273 |
| Sonnet 5 | $0.00000 | $0.00109 |
| Haiku 4.5 | $0.00000 | $0.00055 |
Grade A, and why
persona 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 12d 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
人格指令 — AI 人格操作系统命令参考
所有可用命令的快速参考指南
系统命令
| 命令 | 说明 | 示例 |
|---|---|---|
/persona setup |
运行首次设置向导 | 首次安装时使用 |
/persona status |
查看系统健康仪表盘 | 检查整体状态 |
/persona help |
显示所有可用命令 | 不确定怎么用时 |
/persona checkpoint |
保存当前上下文 | 长会话中途保存 |
信息命令
| 命令 | 说明 | 示例 |
|---|---|---|
/persona show persona |
显示当前人格信息 | 查看 SOUL.md 配置 |
/persona show memory |
显示永久记忆内容 | 查看 MEMORY.md |
/persona show config |
验证配置文件 | 检查配置是否正确 |
维护命令
| 命令 | 说明 | 示例 |
|---|---|---|
/persona health check |
运行系统诊断 | 定期健康检查 |
/persona security audit |
运行安全审计 | 每月安全审查 |
/persona heartbeat |
运行环境健康检查 | 查看心跳状态 |
学习命令
| 命令 | 说明 | 示例 |
|---|---|---|
/persona learn |
记录学习或错误 | 记录经验教训 |
模式切换
| 命令 | 说明 | 示例 |
|---|---|---|
/persona advisor on |
启用主动建议模式 | 开启主动服务 |
/persona advisor off |
禁用主动建议模式 | 仅被动响应 |
/persona switch preset |
切换人格预设 | 更换 AI 助手类型 |
自然语言变体
除命令格式外，以下自然语言表达也会被识别：
- "系统怎么样" / "检查状态" → 状态
- "我是什么人格" / "我是谁" → 显示人格
- "我记住了什么" / "查看记忆" → 显示记忆
- "运行诊断" / "健康检查" → 健康检查
- "安全审计" / "检查安全" → 安全审计
- "我能做什么" / "帮助" → 帮助
AI 人格操作系统 v1.4.1
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.
- 12d ago First seen · 60 lines · 0 tokens per session scan A bd11414b31f4
persona is a command published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 546 tokens. 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.
Other commands, from other repositories
session-end
I'll summarize this coding session and update the memory system with our accomplishments.
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
memory-store
Store an insight, decision, or pattern to memory.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.