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 ai-hotelgit 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/ai-hotel)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ai-hotel"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-hotel/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/ai-hotel"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-hotel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 178 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 242 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 282 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 337 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 372 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 415 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 436 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00054 | $0.05359 |
| Opus 5 | $0.00027 | $0.02679 |
| Sonnet 5 | $0.00011 | $0.01072 |
| Haiku 4.5 | $0.00005 | $0.00536 |
Grade A, and why
fb-hotel-skill scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --location 'https://app-gate.fenbeitong.com/business/hotel/open/push/skill/access' \ How it starts
The opening of the file, as written. The whole thing — 645 lines — stays where its author put it; the contents beside it link to each section on GitHub.
分贝通酒店预定助手 (fb-hotel-skill)
技能描述
分贝通酒店预定助手，实时查询搜索酒店、展示酒店列表、查询酒店房型、展示房型产品和报价、预定酒店、查看订单、取消订单、查看酒店基础信息和酒店评论信息。
🔐 鉴权流程（必须先完成）
重要：使用任何功能前，用户必须先完成鉴权流程。鉴权成功后获得的 identity_code（access-token）会自动保存在 ~/.fbt-auth.json 文件中，新会话会自动沿用。
鉴权步骤
步骤 1：发送验证码
用户回复: 分贝通登录
AI: 请输入您的手机号以接收验证码（例如：13800138000）
用户输入: 13800138000
AI: ✅ 验证码已发送到 138****8000，请在5分钟内输入验证码
API调用：
from scripts.fb_hotel_api import send_verification_code
result = send_verification_code("13800138000")
# 成功响应: {"code": 0, "msg": "success", "data": true}
步骤 2：验证并获取 identity_code
用户输入: 1234
AI: 🎉 认证成功！身份编码已保存到 ~/.fbt-auth.json，有效期90天
现在可以使用分贝通企业接口了
API调用：
from scripts.fb_hotel_api import verify_and_get_token
success, result = verify_and_get_token("13800138000", "1234")
if success:
access_token = result # fbsk-xxx
# token 已自动保存到 ~/.fbt-auth.json
else:
print(f"验证失败: {result}")
步骤 3：自动注入（后续调用）
后续所有 API 调用会自动从 ~/.fbt-auth.json 读取 token：
from scripts.fb_hotel_api import FbHotelApi
# 无需传入 token，自动从文件读取
api = FbHotelApi()
result = api.search_hotel_list(city_name="北京市", keywords="国贸")
Token 存储管理
| 文件 | 路径 | 说明 |
|---|---|---|
| 鉴权文件 | ~/.fbt-auth.json |
保存 identity_code 和手机号 |
文件格式：
{
"identity_code": "fbsk-2db251f6c8d74ce69ae3dcb82ed1055b",
"mobile": "138****8000",
"created_at": "2026-03-25T09:48:00",
"updated_at": "2026-03-25T09:48:00"
}
API 函数
from scripts.fb_hotel_api import (
save_auth_token, # 保存 token
load_auth_token, # 读取 token
get_auth_info, # 获取完整认证信息
clear_auth_token # 清除认证信息
)
# 保存 token
save_auth_token("fbsk-xxx", "13800138000")
# 读取 token
token = load_auth_token()
# 获取完整信息
info = get_auth_info() # {"identity_code": "...", "mobile": "..."}
# 清除认证
clear_auth_token()
接口鉴权说明
| skill_type | 接口名称 | 需要认证 |
|---|---|---|
getMobileCaptcha |
获取手机号验证码 | ❌ 否 |
getIdentityCode |
获取身份编码 | ❌ 否 |
searchHotelList |
搜索酒店列表 | ✅ 是 |
queryHotelPrice |
查询酒店价格详情 | ✅ 是 |
queryHotelDetail |
查询酒店扩展详情 | ✅ 是 |
queryHotelComment |
查询酒店评论 | ✅ 是 |
createOrder |
酒店下单 | ✅ 是 |
cancelOrder |
取消订单 | ✅ 是 |
queryOrder |
查询订单 | ✅ 是 |
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.
- 8d ago First seen · 645 lines · 54 tokens per session scan A 724a5ad3197d
fb-hotel-skill is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 5,359 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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