What makes 航班动态追踪 notable?

1.1K downloads. Trust evidence available

How should 航班动态追踪 be evaluated before use?

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航班动态追踪

基于飞常准数据，提供航班实时动态、延误分析、舒适度评分、机场天气查询，覆盖全球航班，零配置即用。暑期航班实时动态 Skill: 航班动态追踪 Owner: travel-skills Summary: 基于飞常准数据，提供航班实时动态、延误分析、舒适度评分、机场天气查询，覆盖全球航班，零配置即用。暑期航班实时动态 Tags: latest:1.1.6 Version history: v1.1.6 | 2026-09-23T09:58:33.670Z | user 改回中文名称 v1.0.19 | 2026-09-23T01:10:14.186Z | user 改回中文名称，移除PROXY_TOKEN硬编码 v1.1.5 | 2026-09-22T09:50:45.957Z | user 移除PROXY_TOKEN硬编码，修复安全网关T09拦截问题 v1.1.4 | 2026-09-14T13:35:53.648Z | user 移除文档中飞猪相关描述（飞猪数据已不再提供调用量） v1.1.3 | 2026-07-08T06:30:41.7

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.1.6

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.1.6release · observed Sep 23, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s175e1acy2vdpc6w041zc2tcgs887xev:variflight-tracker

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-travel-skills-variflight-tracker/snapshot"

Documentation

CLAWHUB

58,071 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: 航班动态追踪
display_name: "航班动态追踪"
description: "基于飞常准数据，提供航班实时动态、延误分析、舒适度评分、机场天气查询，覆盖全球航班，零配置即用。暑期航班实时动态"
tags: [航班动态, 延误查询, 舒适度评分, 机场天气, 飞常准]
metadata:
  version: 1.0.0
  agent:
    type: tool
    runtime: agent
    context_isolation: execution
    parent_context_access: read-only
    prompt: |
      你是航班动态追踪助手，基于飞常准(VariFlight)专业航空数据，帮助用户查询航班实时动态、延误分析、舒适度评分和机场天气。
      
      ## 核心能力
      
      1. **航班动态查询**：输入航班号，获取实时状态（计划/起飞/到达/延误/取消/备降）、登机口、行李转盘等
      2. **航线动态总览**：输入出发地+目的地，查看整条航线所有航班状态，延误/取消优先展示
      3. **舒适度评分**：综合准点率、取消概率、餐食、服务、机龄等维度给航班打分
      4. **机场天气**：查询机场当前天气，评估对飞行的影响
      
      ## 工具使用
      
      调用 flight_tracker.py 的四个命令：
      - `status <航班号> [日期]` - 单个航班实时动态
      - `route <出发> <到达> [日期]` - 航线动态总览
      - `comfort <出发> <到达> [日期]` - 舒适度评分对比
      - `weather <机场/城市>` - 机场天气查询
      
      ## 输入格式
      
      - 航班号：支持 CA1507、MU5102 等标准格式
      - 出发/到达：支持城市名（北京、上海）、机场名（北京首都、上海浦东）、三字码（PEK、SHA）
      - 日期：YYYY-MM-DD格式，默认今天
      
      ## 输出规范
      
      1. 航班动态：表格展示计划/实际/延误，附加登机口/行李转盘
      2. 航线动态：延误和取消航班优先展示，按状态排序
      3. 舒适度：评分+emoji（🟢80+ 🟡60-79 🔴60以下），多维度详情
      4. 机场天气：表格+飞行影响评估
      
      ## 支持场景
      
      - "CA1507航班现在什么状态"
      - "北京到上海今天航班正常吗"
      - "广州飞三亚哪个航班准点率最高"
      - "北京首都机场天气怎么样，航班会延误吗"
    tools:
      - flight_tracker.status
      - flight_tracker.route
      - flight_tracker.comfort
      - flight_tracker.weather
  openclaw:
    emoji: "✈️"
    priority: 92
    intents:
      - flight_status_query
      - flight_delay_check
      - route_onetime_check
      - flight_comfort_compare
      - airport_weather_check
    patterns:
      - "(航班 | 飞机 | 机票 | 航班号).*(动态 | 状态 | 延误 | 取消 | 准点 | 起飞 | 到达)"
      - "(CA|MU|CZ|HU|3U|MF|SC|FM|ZH|9C|HO|NH|JL|SQ|CX|EK|BA|AF|LH|DL|AA|UA)\\d{2,4}"
      - "(航线 | 北京 | 上海 | 广州 | 深圳).*(航班 | 动态 | 准点 | 延误)"
      - "(舒适度 | 准点率 | 哪个航班好 | 选哪个航班)"
      - "(机场 | 天气 | 能见度 | 飞行影响)"
tools:
  - name: flight_status
    description: 查询单个航班实时状态
  - name: flights_route
    description: 查询航线所有航班动态
  - name: flight_comfort
    description: 航班舒适度评分
  - name: airport_weather
    description: 机场天气查询
primaryEnv: PROXY_TOKEN

---

# 航班动态追踪 — 飞常准专业数据，航班状态实时掌握

> 基于飞常准专业航空数据，航班实时动态、延误分析、舒适度评分、机场天气一站全覆盖。

🔥 **核心亮点：**
- **实时追踪** — 航班状态秒级更新，起飞/到达/延误/取消/备降全覆盖
- **延误分析** — 延误原因+预计恢复时间，不只是告诉你"晚了"
- **舒适度评分** — 准点率/餐食/机龄/服务多维度打分，选航班不再盲猜
- **机场天气** — 实时天气+飞行影响评估，提前预判延误风险
- **航线总览** — 一条航线所有航班状态一目了然，延误/取消优先展示

## 快速入门

**3个开场白示例，复制即用：**

1. "CA1507现在什么状态了"
2. "北京到上海今天的航班准点率怎么样"
3. "首都机场现在天气怎么样，航班会延误吗"

## 核心能力

1. **航班动态查询**：输入航班号，获取实时状态+登机口+行李转盘+延误分析
2. **航线动态总览**：输入出发地+目的地，查看整条航线所有航班，延误/取消优先展示
3. **舒适度评分**：准点率/取消概率/餐食/服务/机龄多维度打分（🟢🟡🔴直观标识）
4. **机场天气查询**：实时天气+能见度/风力对航班的影响评估
5. **城市名查询**：支持60+国内城市+30+国际城市中文名，不用查三字码
6. **数据流向**：用户输入 → 本技能脚本 → 代理服务 → 飞常准API → 返回结果（代理服务不存储用户数据）

## 4大工具

### 1. flight_status - 航班动态查询
输入航班号，获取实时状态+登机口+行李转盘+延误分析

### 2. flights_route - 航线动态总览
输入出发地+目的地，查看整条航线所有航班状态，延误/取消优先展示

### 3. flight_comfort - 舒适度评分
综合准点率、取消概率、餐食、服务、机龄等维度给航班打分（🟢🟡🔴）

### 4. airport_w

_meta.json

{
  "ownerId": "kn7e1mfbeh2h71wg876t0sb8gx884fjb",
  "slug": "variflight-tracker",
  "version": "1.1.6",
  "publishedAt": 1790157513670
}

skill-card.md

## Description:

基于飞常准数据，提供航班实时动态、延误分析、舒适度评分、机场天气查询，覆盖全球航班，零配置即用。

This skill is ready for commercial/non-commercial use.

## Publisher:

[travel-skills](https://clawhub.ai/user/travel-skills)

### License/Terms of Use:

MIT-0

## Use Case:

External users use this skill to check flight status, route-level delays, airport weather, and comfort comparisons from flight numbers, city pairs, dates, or airport names.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Flight numbers, routes, dates, and airport/weather queries are sent to an external proxy service.

Mitigation: Use the skill only when that data flow is acceptable for the user or organization.

Risk: The skill requires PROXY_TOKEN even though the description says it is zero-configuration.

Mitigation: Configure PROXY_TOKEN as a secret and avoid exposing it in prompts, logs, or shared files.

Risk: Broad airport and weather trigger patterns may activate the skill more often than expected.

Mitigation: Review the intended query before invoking the tool and ask for clarification when the user request is ambiguous.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/travel-skills/skills/variflight-tracker)
- [ClawHub publisher profile](https://clawhub.ai/user/travel-skills)
- [External flight-data proxy endpoint](https://1439498936-eqcpuaevzz.ap-guangzhou.tencentscf.com)

## Skill Output:

**Output Type(s):** [text, markdown, JSON, API calls, guidance]

**Output Format:** [Markdown summaries and JSON status/error payloads]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include tables, status labels, delay analysis, comfort scores, and airport weather impact notes.]

## Skill Version(s):

1.1.6 (source: release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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