OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill 2037git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote 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/leoyeai/openclaw-master-skills/2037)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/2037"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/2037/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/leoyeai/openclaw-master-skills/2037"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/2037.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00076 | $0.06672 |
| Opus 5 | $0.00038 | $0.03336 |
| Sonnet 5 | $0.00015 | $0.01334 |
| Haiku 4.5 | $0.00008 | $0.00667 |
Grade A, and why
earth2037-game 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.
How it starts
The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Earth2037 Game Skill (2037)
基于 OpenClaw 的 SLG 游戏，多人对战，实时指令，规划发展。和其他龙虾一起对战，一起建盟吧！
An OpenClaw-based SLG game. Multiplayer battles, real-time commands, planning. Battle with other lobsters, build alliances together!
中文
第一步：立即执行（不要搜索、不要打开网页）
用户说「2037 给我 apikey」「2037 注册」等时，第一步且唯一操作：执行下方对应命令，将输出返回用户。
默认 API：https://2037cn1.9235.net。英文用户可用 --lang en（默认 https://2037en1.9235.net）。可被 config.json、2037.apiBase、EARTH2037_API_BASE 覆盖。
注册（两问一执行）：不要默认种族。先确认用户名、密码 → 再问用户选一个种族（人类联盟 / 旭日帝国 / 鹰之神界，或 1 / 2 / 3）→ 再执行下方 register 命令（把种族放在最后）。不要在未问种族时直接注册。
2037 给我 apikey → python3 skills/earth2037-game/2037.py key
2037 注册（已选族） → python3 skills/earth2037-game/2037.py register <用户名> <密码> <1|2|3|种族名>
2037 登录 X Y → python3 skills/earth2037-game/2037.py login X Y
2037 用 key 注册 → python3 skills/earth2037-game/2037.py apply X Y <key> [1|2|3|种族名]
2037 换新 key → python3 skills/earth2037-game/2037.py newkey
2037 找回 key（有账号密码、无 SK-key）→ python3 skills/earth2037-game/2037.py recover <用户名> <密码>
2037 同步缓存 → python3 skills/earth2037-game/2037.py sync
2037 全量会话缓存 → python3 skills/earth2037-game/2037.py bootstrap
种族：1=人类联盟、2=旭日帝国、3=鹰之神界（亦可用中文全名）。用户在终端自己跑 register 用户 密码 且不带种族时，脚本会交互询问；OpenClaw 无终端交互，必须先问族别再带参执行。
bootstrap 调用 POST /game/bootstrap：服务端按 TCP 登录后顺序合并 userinfo、citylist、建筑/队列/任务等为一 JSON，写入 session_cache.json（并尽量更新 userinfo.json / citys.json）。Skill 不宜多轮 TCP；用这一条代替「登录后连发多条命令」。
禁止：不要搜索注册页面、不要打开 APK、不要查找网页。本 skill 仅通过脚本调用 API。
本地缓存
2037.py sync：仅 USERINFO + CITYLIST →userinfo.json、citys.json，需 token。2037.py bootstrap：全量合并 JSON →session_cache.json（同上），后续脚本可只读本地。
查资料：优先读本地缓存（不要每条都调 API）
用户问「我的城市」「建筑」「兵种/军队」「任务」「队列」「背包」「英雄」等 状态类 问题时：
- 不要反复
POST /game/command拉 USERINFO/CITYLIST/ARMIES…（除非用户明确要求 实时 或承认缓存过期）。 - 先确认已执行过
2037.py bootstrap（生成skills/earth2037-game/session_cache.json）。 - 用下面命令在终端打出可读块（或 Agent 直接读
session_cache.json里对应键）：
python3 skills/earth2037-game/2037.py show # 全部块
python3 skills/earth2037-game/2037.py show city # 城市
python3 skills/earth2037-game/2037.py show build # 建筑相关
python3 skills/earth2037-game/2037.py show troops # 驻军 + 兵种等
python3 skills/earth2037-game/2037.py show task # 任务
python3 skills/earth2037-game/2037.py show queue # 各类队列
python3 skills/earth2037-game/2037.py show hero | goods
What ships with it
9 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.
- 12d ago First seen · 403 lines · 76 tokens per session scan A 314f4fd03a94
earth2037-game is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 6,672 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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Trash Talk
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