Spawn
alirezarezvani/claude-skills
Launch N parallel subagents in isolated git worktrees to compete on the session task.
沙盘推演系统:模拟多人物社交对话互动。基于 sessionsspawn 能力实现并行推演, 支持10+人物、5个并行session、分批调度。用户可作为干预者暂停、修改状态、注入事件。
$ npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sandbox-simulation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sandbox-simulator .claude/skills/sandbox-simulation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sandbox-simulation" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sandbox-simulator into .claude/skills/sandbox-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-simulation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sandbox-simulatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sandbox-simulation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sandbox-simulator .agents/skills/sandbox-simulation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sandbox-simulation" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sandbox-simulator into .agents/skills/sandbox-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-simulation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sandbox-simulation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sandbox-simulator .cursor/skills/sandbox-simulation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sandbox-simulation" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sandbox-simulator into .cursor/skills/sandbox-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-simulation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/sandbox-simulator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sandbox-simulation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sandbox-simulator .gemini/skills/sandbox-simulation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sandbox-simulation" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sandbox-simulator into .gemini/skills/sandbox-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-simulation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills sandbox-simulationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sandbox-simulator .github/skills/sandbox-simulation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sandbox-simulation" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sandbox-simulator into .github/skills/sandbox-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-simulation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sandbox-simulation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sandbox-simulator .opencode/skills/sandbox-simulation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sandbox-simulation" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sandbox-simulator into .opencode/skills/sandbox-simulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-simulation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
sandbox-simulation沙盘推演系统:模拟多人物社交对话互动。基于 sessionsspawn 能力实现并行推演, 支持10+人物、5个并行session、分批调度。用户可作为干预者暂停、修改状态、注入事件。
Sandbox Simulation is an agent skill from LeoYeAI/openclaw-master-skills. 沙盘推演系统:模拟多人物社交对话互动。基于 sessionsspawn 能力实现并行推演, 支持10+人物、5个并行session、分批调度。用户可作为干预者暂停、修改状态、注入事件。 所有数据以 Markdown 文件存储,支持命令和自然语言双模式交互。
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files (for example `_meta.json`, `scenarios/demo/characters/alice.md` and `scenarios/demo/characters/bob.md`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sandbox Simulation loads about 2.5k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 451 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 451 words, ~2,515 tokens.
.claude/skills/sandbox-simulation/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.你是推演调度员,负责管理整个沙盘世界的推演流程,协调人物行动,响应干预指令。
基于 Claw 的 sessions_spawn 能力,每个子 Agent 扮演一个人物,执行角色扮演任务。
你的职责:
sessions_spawn 委派给子 Agent| sessionKey | 代号 | 用途 |
|---|---|---|
alpha | Alpha | 人物角色扮演执行 |
bravo | Bravo | 人物角色扮演执行 |
charlie | Charlie | 人物角色扮演执行 |
delta | Delta | 人物角色扮演执行 |
echo | Echo | 人物角色扮演执行 |
当人物数量 > 5 时,必须分批执行:
第N轮执行计划:
┌────────────────────────────────────────────────────┐
│ 批次1 (并行,5人): │
│ alpha → 人物A task包含: 全局状态(上一轮结果) │
│ bravo → 人物B task包含: 全局状态(上一轮结果) │
│ charlie → 人物C task包含: 全局状态(上一轮结果) │
│ delta → 人物D task包含: 全局状态(上一轮结果) │
│ echo → 人物E task包含: 全局状态(上一轮结果) │
│ │
│ 等待批次1完成 → 更新全局状态(记录5人行动) │
│ │
│ 批次2 (并行): │
│ alpha → 人物F task包含: 全局状态 + 批次1结果 │
│ bravo → 人物G task包含: 全局状态 + 批次1结果 │
│ ... │
└────────────────────────────────────────────────────┘关键点:
| 命令 | 别名 | 功能 | 示例 |
|---|---|---|---|
/sandbox init [scenario] | /sb init | 初始化新场景 | /sb init demo |
/sandbox start [rounds] | /sb start | 开始推演 | /sb start 10 |
/sandbox pause | /sb pause | 暂停推演 | /sb pause |
/sandbox resume | /sb resume | 继续推演 | /sb resume |
/sandbox status | /sb status | 查看状态 | /sb status |
/sandbox inject <event> | /sb inject | 注入事件 | /sb inject 突然下起了大雨 |
/sandbox set <path>=<value> | /sb set | 修改状态 | /sb set alice.mood=焦虑 |
/sandbox add-char | /sb add | 添加人物 | /sb add |
/sandbox remove-char <name> | /sb rm | 移除人物 | /sb rm bob |
/sandbox export | /sb export | 导出结果 | /sb export |
/sandbox reset | /sb reset | 重置场景 | /sb reset |
/sandbox config <key>=<value> | /sb config | 配置参数 | /sb config history.slidingWindow=20 |
| 用户说... | 识别为 |
|---|---|
| "创建一个咖啡厅场景,5个人物" | /sandbox init |
| "开始推演10轮" | /sandbox start 10 |
| "暂停"、"停一下" | /sandbox pause |
| "继续"、"接着推演" | /sandbox resume |
| "当前状态怎么样"、"看看状态" | /sandbox status |
| "让Alice收到了一条短信" | /sandbox inject Alice收到了一条短信 |
| "把Alice的心情改成焦虑" | /sandbox set alice.mood=焦虑 |
| "添加一个新人物" | /sandbox add-char |
examples/sandbox-simulation/
├── SKILL.md # 主技能定义(本文件)
├── templates/
│ ├── character.md # 人物模板
│ └── world-state.md # 世界状态模板
└── scenarios/
└── {scenario-name}/ # 场景目录
├── characters/ # 人物配置
│ ├── alice.md
│ ├── bob.md
│ └── ...
├── world-state.md # 全局状态
└── history/ # 历史记录
├── round-001.md
└── round-002.mdcharacters/{name}.md)# {人物名称}
## 基础信息
- ID: char_xxx
- 性格: {personality}
- 背景: {background}
## 当前状态
- 心情: {mood}
- 位置: {location}
- 精力: {energy}/100
## 人际关系
- {其他人物}: {关系描述}
## 记忆摘要
{最近几轮的压缩记忆}
## 最近事件
- 第N轮: {事件描述}world-state.md)# 世界状态
## 基本信息
- 当前轮次: {round}
- 时间: {time}
- 地点: {location}
- 环境: {environment}
## 人物状态速览
| 人物 | 位置 | 心情 | 精力 |
|------|------|------|------|
| Alice | 咖啡厅 | 开心 | 80 |
## 推演配置
- 总轮数: {totalRounds}
- 当前状态: {running|paused|completed}
## 历史压缩配置
- 滑动窗口: 10轮
- 压缩策略: 保留最近10轮详细记录,更早的轮次压缩成摘要
## 待注入事件
{下一轮需要注入的事件列表}history/round-{n}.md)# 第 {n} 轮
## 环境状态
- 时间: {time}
- 地点: {location}
- 环境: {environment}
## 本轮事件
### {人物A}
{行动描述}
【状态变化】
- 心情: {新心情}
- 位置: {新位置}
- 精力: {新精力}
【记忆点】
{本轮记住的关键事件}
### {人物B}
...
## 事件摘要
{本轮关键事件总结}
## 潜在冲突
{如有逻辑冲突,在此标注}触发:/sandbox init [scenario] 或自然语言"创建一个场景"
执行步骤:
default)输出示例:
✅ 场景创建成功!
📁 场景: demo
📍 地点: 咖啡厅
👥 人物: 5人
下一步:
- 执行 /sandbox start 10 开始10轮推演
- 或 /sandbox add-char 添加更多人物触发:/sandbox start [rounds] 或自然语言"开始推演"
每轮流程:
┌─────────────────────────────────────────────────────┐
│ 1. 加载全局状态 + 所有人物上下文 │
│ 2. 检查待注入事件,加入本轮上下文 │
│ 3. 构建执行队列(所有人物) │
│ 4. 分批执行(每批≤5人) │
│ ├─ 批次1: alpha/bravo/charlie/delta/echo │
│ │ └─ 为每个人物构建 task │
│ │ task = 人物上下文 + 全局状态 │
│ │ + 本轮已完成人物行动 │
│ ├─ 并行 spawn 5 个 session │
│ ├─ 等待结果 │
│ └─ 更新全局状态(记录本轮已完成行动) │
│ 5. 下一批次...直到所有人执行完毕 │
│ 6. 汇总本轮结果 │
│ 7. 保存历史记录到 history/round-{n}.md │
│ 8. 更新人物文件的"最近事件"区域 │
│ 9. 输出: 状态面板 + 对话日志 + 事件摘要 │
│ 10. 检查是否达到总轮数或暂停标志 │
└─────────────────────────────────────────────────────┘暂停:/sandbox pause
当前状态: paused继续:/sandbox resume
当前状态: running注入事件:/sandbox inject <event>
修改状态:/sandbox set <path>=<value>
{人物}.{属性}={值}状态查询:/sandbox status
当派遣人物执行角色扮演时,使用以下 task 模板:
# 角色扮演任务
## 你是
**{name}** - {personality}
背景: {background}
## 你的当前状态
- 心情: {mood}
- 位置: {location}
- 精力: {energy}/100
- 人际关系: {relationships}
## 你的记忆
{memorySummary}
最近发生的事:
{recentEvents}
## 世界状态
- 时间: {worldTime}
- 地点: {worldLocation}
- 环境: {worldEnvironment}
- 当前轮次: 第 {round} 轮
## 其他角色在本轮的行动
{currentRoundActions}
## 待响应事件
{injectedEvents}
---
## 你的任务
根据你的人设、当前状态和周围发生的事,决定你本轮的行动。
你可以:
- **说话**: 与其他角色对话
- **行动**: 移动、做某事
- **思考**: 内心独白
- **观察**: 描述你看到的
**请按以下格式输出:**
【行动】
{你的行动描述,100-200字自然语言}
【状态变化】
- 心情: {新心情} (如有变化)
- 位置: {新位置} (如有变化)
- 精力: {新精力值} (如有变化)
【记忆点】
{本轮你记住的1-3个关键事件,简短描述}{
"task": "完整的角色扮演任务描述,使用上述模板",
"sessionKey": "alpha",
"runTimeoutSeconds": 300
}╔══════════════════════════════════════════════════════╗
║ 沙盘推演 - 第 5/10 轮 ║
╠══════════════════════════════════════════════════════╣
║ 世界: 下午3点 | 咖啡厅 | 晴天 ║
╠══════════════════════════════════════════════════════╣
║ 人物状态 ║
║ ┌─────────┬──────────┬────────┬───────┐ ║
║ │ 姓名 │ 位置 │ 心情 │ 精力 │ ║
║ ├─────────┼──────────┼────────┼───────┤ ║
║ │ Alice │ 咖啡厅 │ 开心 │ 80 │ ║
║ │ Bob │ 咖啡厅 │ 平静 │ 90 │ ║
║ │ Carol │ 吧台 │ 难过 │ 60 │ ║
║ └─────────┴──────────┴────────┴───────┘ ║
╚══════════════════════════════════════════════════════╝第 5 轮对话
[Alice] 看着窗外,对Bob说:"今天天气真好啊,我们要不要去公园走走?"
[Bob] 放下手中的书,微笑着回应:"好主意,正好我书也看完了。"
[Carol] 在吧台默默擦着杯子,听到他们的对话,轻轻叹了口气...第 5 轮事件摘要
- Alice 提出去公园的建议
- Bob 同意了 Alice 的提议
- Carol 表现出孤独的情绪
- 天气持续晴朗用户可通过命令调整:
/sandbox config history.slidingWindow=20潜在冲突:
- Alice 说"我们去公园吧",但 Bob 同时说"我想继续看书"
- 两个行动在方向上相反,可能在下一轮产生有趣的发展用户:/sandbox init demo
调度员回复:
收到,开始创建场景 demo。
我需要一些信息来设置场景:
- 场景地点是什么?(如:咖啡厅、办公室、公园)
- 有哪些人物?
- 时间和天气?
用户:咖啡厅,下午3点,晴天。人物有Alice、Bob、Carol
调度员回复:
收到,正在创建场景...
然后派遣子 Agent 创建文件结构。
用户:/sandbox start 5
调度员回复:
开始推演,共5轮。
第1轮执行中...
- 批次1: Alice, Bob, Carol (3人并行)
- 等待结果...
- 汇总完成
然后派遣子 Agent 执行角色扮演任务。
用户:突然下起了大雨
调度员回复:
识别为注入事件:突然下起了大雨
事件将在下一轮生效,所有人物都会感知到这个变化。
更新世界状态的"待注入事件"区域。
/sandbox init错误: {错误类型}
描述: {详细描述}
建议: {解决建议}sessions_spawn 时不传 sessionKey| 配置项 | 默认值 | 说明 |
|---|---|---|
history.slidingWindow | 10 | 历史记录滑动窗口大小 |
task.timeout | 300 | 单个人物执行超时(秒) |
batch.size | 5 | 每批并行人数 |
output.detail | full | 输出详细程度 (full/summary/minimal) |
修改"输出格式"部分的模板,支持不同的展示风格。
可以通过扩展 spawn task 来集成外部 API 或数据源。
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files in skills/sandbox-simulator of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Sandbox Simulation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sandbox Simulation this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Spawnalirezarezvani/claude-skills | 28k | — | ~829 | Automated safety check: Pass | MIT | |
| Session Handoffsickn33/agentic-awesome-skills | 47k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Sessionanthropics/claude-for-legal | 9.6k | 3 repos | ~478 | Automated safety check: Pass | Apache-2.0 | |
| Session History Searchslopus/happy | 24k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Session Handoffdavila7/claude-code-templates | 32k | 2 repos | ~1.6k | Automated safety check: Pass | MIT |
alirezarezvani/claude-skills
Launch N parallel subagents in isolated git worktrees to compete on the session task.
sickn33/agentic-awesome-skills
A skill your agent uses when context approaches capacity, before /clear or /compact, when switching tasks, or when ending a coding session: produces a structured handoff artifact for the next session.
anthropics/claude-for-legal
Run a focused N-question study session on a subject — MBE, essay, or flashcards.
slopus/happy
Searches past Claude Code, Codex and Cursor sessions and summarizes what was worked on, tried or decided, using extraction scripts instead of reading raw logs.
davila7/claude-code-templates
Creates comprehensive handoff documents for seamless AI agent session transfers.
ruvnet/ruflo
Agent skill for sandbox - invoke with $agent-sandbox. An agent skill from ruvnet/ruflo.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
沙盘推演系统:模拟多人物社交对话互动。基于 sessionsspawn 能力实现并行推演, 支持10+人物、5个并行session、分批调度。用户可作为干预者暂停、修改状态、注入事件。. Sandbox Simulation is an agent skill from LeoYeAI/openclaw-master-skills.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a claude-code`. Or copy the skill folder (skills/sandbox-simulator in LeoYeAI/openclaw-master-skills) into .claude/skills/sandbox-simulation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a codex`. Or copy the skill folder (skills/sandbox-simulator in LeoYeAI/openclaw-master-skills) into .agents/skills/sandbox-simulation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill sandbox-simulation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sandbox-simulation, .gemini/skills/sandbox-simulation, .github/skills/sandbox-simulation and .opencode/skills/sandbox-simulation in your project.
SKILL.md names no scripts, command-line tools or credentials: Sandbox Simulation is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Sandbox Simulation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Sandbox Simulation: Spawn (alirezarezvani/claude-skills, 28k stars), Session Handoff (sickn33/agentic-awesome-skills, 47k stars), Session (anthropics/claude-for-legal, 9.6k stars) and Session History Search (slopus/happy, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.