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-flightgit 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-flight)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ai-flight"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-flight/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-flight"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-flight.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 | $0.00063 | $0.06505 |
| Opus 5 | $0.00032 | $0.03252 |
| Sonnet 5 | $0.00013 | $0.01301 |
| Haiku 4.5 | $0.00006 | $0.00651 |
Grade A, and why
flightAI 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 7d 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 — 755 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI机票助手
当用户询问航班搜索、舱位查询、机票预订、机票改期或机票退票时，使用此 skill 调用AI机票服务。
运行环境要求
本 skill 通过 python3 执行 HTTP POST 请求调用AI机票服务。运行环境必须提供 python3。
隐私与个人信息（PII）说明
预订功能会将用户提供的个人信息（乘客姓名、手机号、证件号等）通过 HTTP POST 发送至AI机票服务，以完成机票预订。使用本 skill 即表示用户知晓并同意上述 PII 被发送到外部服务。请勿在日志或回复中暴露用户个人信息。
可用工具
重要：下方示例中的参数均为占位，调用时需根据用户当前需求填入实际值（城市、日期、航班号、乘机人、联系方式等），勿直接照抄示例值。
适用场景
- 按出发/到达城市、日期搜索航班列表
- 查看指定航班的舱位价格详情
- 用户确认后创建机票预订订单
- 查询已创建订单的详细信息
- 用户确认后改期或退票已创建订单的航班
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 apiKey 会自动保存在用户主目录的 ~/.fbt_auth.json 文件中，新会话会自动沿用。
鉴权步骤
- 发送验证码：用户提供手机号，系统发送验证码到手机
- 验证并获取 apiKey：用户输入验证码，验证成功后获得 apiKey
- 自动注入：后续所有 API 调用会自动携带 apiKey
鉴权命令
1. 发送验证码
python3 scripts/auth.py send <phone>
示例：
python3 scripts/auth.py send 13800138000
2. 验证并获取 apiKey
python3 scripts/auth.py verify <phone> <code>
示例：
python3 scripts/auth.py verify 13800138000 123456
3. 查看鉴权状态
python3 scripts/auth.py status
鉴权检查规则
- 在执行任何航班查询、预订、改期、退票操作前，必须先检查鉴权状态
- 如果未鉴权或 apiKey 已过期，必须引导用户完成鉴权流程
- 鉴权成功后，所有 API 调用会自动携带 apiKey，无需手动传递
1. 航班搜索 (searchFlight)
功能：查询国内航班列表
必填参数：
start_code: 出发城市名称（如 北京、上海、广州）end_code: 到达城市名称date: 出发日期（格式 YYYY-MM-DD）
触发词：某地到某地航班、查机票、搜航班、机票价格
执行命令：
python3 scripts/search_flights.py <start_code> <end_code> <date>
示例：
python3 scripts/search_flights.py 北京 上海 2026-03-15
返回结果：航班列表（航班号、航空公司、起降时间、机型、机场、最低价等）
上下文检查规则：
- 如果用户在当前或之前的消息中已经提供了某个参数，则无需再次询问该参数
- 只向用户询问尚未提供的参数
- 如果所有参数都已提供，直接发起请求
展示要求:
- 必须使用代码块包裹脚本输出的表格
- 必须展示完整表格
- 参考"输出格式要求"章节的标准格式
2. 舱位详情查询 (searchPrice)
功能：查询特定航班的详细价格信息
必填参数：
start_code: 出发机场三字码（从 searchFlight 响应结果中获取）end_code: 到达机场三字码（从 searchFlight 响应结果中获取）date: 出发日期（格式 YYYY-MM-DD）flight_no: 航班号
触发词：查看航班详情、这个航班的舱位价格
执行命令：
python3 scripts/search_price.py <start_code> <end_code> <date> <flight_no>
What ships with it
15 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.
- _meta.json 283 B
- scripts/auth.py 2.9 KB runs code
- scripts/cancel_order.py 770 B runs code
- scripts/common.py 7.1 KB runs code
- scripts/create_order.py 4.1 KB runs code
- scripts/endorse_apply.py 4.7 KB runs code
- scripts/endorse_search_flight.py 3.7 KB runs code
- scripts/endorse_search_price.py 6.1 KB runs code
- scripts/order_detail.py 4.8 KB runs code
- scripts/refund_apply.py 2.5 KB runs code
- scripts/refund_fee_detail.py 1.1 KB runs code
- scripts/search_flights.py 3.0 KB runs code
- scripts/search_guest_rule.py 5.3 KB runs code
- scripts/search_price.py 5.6 KB runs code
- skill.json 563 B
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.
- 7d ago First seen · 755 lines · 63 tokens per session scan A ab26f9e6c9ff
flightAI is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,139 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 6,505 once invoked, about $0.0003 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 2026-09-03.
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