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Aerobase Travel Pro

作者 Aerobase · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install aerobase-travel-pro
功能描述
Full jetlag intelligence suite with award search, comparison, recovery plans, and itinerary analysis
使用说明 (SKILL.md)

Aerobase Travel Intelligence Pro

You have access to the full Aerobase travel API. This includes everything in the free tier plus award flight search, side-by-side comparison, personalized recovery plans, itinerary analysis, and flight lookup.

Setup

export AEROBASE_API_KEY="ak_..."

All requests use https://aerobase.app/api as the base URL.

Response Envelope

Every response wraps data in a standard envelope:

{
  "data": { ... },
  "meta": {
    "request_id": "req_abc123",
    "tier": "pro",
    "calls_remaining": 38,
    "latency_ms": 142
  }
}

Errors return:

{
  "error": { "code": "VALIDATION_ERROR", "message": "..." },
  "meta": { "request_id": "...", "tier": "pro", "calls_remaining": 41, "latency_ms": 12 }
}

Rate Limits

Pro tier: 42 requests per hour. Monitor calls_remaining in response meta.


Tools 1-5: Core (Free Tier)

1. Score a Flight

Score a specific flight for jetlag impact given exact departure and arrival times.

curl -s -X POST "https://aerobase.app/api/v1/flights/score" \
  -H "Authorization: Bearer $AEROBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "from": "LAX",
    "to": "NRT",
    "departure": "2026-04-15T13:25:00-07:00",
    "arrival": "2026-04-16T15:40:00+09:00",
    "cabin": "economy"
  }'

Required: from, to (3-letter IATA), departure, arrival (ISO 8601 with tz offset). Optional: cabin (economy | business | first | premium_economy).

Response data: score (0-100), tier, recovery_days, direction, timezone_shift_hours, breakdown, insight, strategies (departure, arrival, shift, recovery), tips[], origin, destination.

Present: "This flight scores X/100 (tier). ~Y days recovery. [strategy summary]"


2. Search Flights

Search flights on a route ranked by jetlag score. Pro tier returns up to 50 results.

curl -s -X POST "https://aerobase.app/api/v1/flights/search" \
  -H "Authorization: Bearer $AEROBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "from": "SFO",
    "to": "LHR",
    "date": "2026-05-20",
    "max_stops": 1,
    "sort": "jetlag",
    "limit": 10
  }'

Required: from, to, date (YYYY-MM-DD). Optional: return_date, max_stops (default 2), sort (jetlag | price | duration), limit (max 50).

Response: Array of flights with id, price, duration_minutes, stops, jetlag_score (0-100), tier, recovery_days, direction, booking_url, segments[], source.


3. Airport Info

Airport details with jetlag facilities, lounges, and ground transit.

curl -s "https://aerobase.app/api/v1/airports/NRT" \
  -H "Authorization: Bearer $AEROBASE_API_KEY"

Response: code, name, city, country, timezone, latitude, longitude, facilities[], lounges[], transit[].


4. Route Intelligence

Comprehensive route analysis with direct and connecting options.

curl -s "https://aerobase.app/api/v1/routes/LAX/NRT" \
  -H "Authorization: Bearer $AEROBASE_API_KEY"

Response: origin, destination, timezone_shift (hours, direction, offsets), direct_routes[], connecting_routes[], route_count. Each route has jetlag_score, stops, connections, total_distance_km, recovery_days, segments[].


5. Travel Deals

Jetlag-scored travel deals. Pro tier returns up to 50 results.

curl -s "https://aerobase.app/api/v1/deals?departure=LAX&sort=value_score&limit=20" \
  -H "Authorization: Bearer $AEROBASE_API_KEY"

Params: departure, destination, max_price, sort (value_score | price | jetlag_score | newest), limit.

Response: deals[] with title, price_usd, cabin_class, is_error_fare, origin, destination, jetlag (score, recovery_days, direction, recommendation), value_score, travel_dates, booking_deadline, source_url.


Tools 6-10: Pro Exclusive

6. Award Search

Search award flight availability across 24 loyalty programs with jetlag scoring.

curl -s -X POST "https://aerobase.app/api/v1/awards/search" \
  -H "Authorization: Bearer $AEROBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "from": "SFO",
    "to": "NRT",
    "cabin": "business",
    "date_from": "2026-06-01",
    "date_to": "2026-06-15",
    "limit": 20
  }'

Required: from, to (IATA). Optional: cabin (economy | business | premium | first), date (single date), date_from/date_to (range), limit (max 100).

Response data is an array:

Field Type Description
origin string Origin IATA
destination string Destination IATA
date string Travel date
cabin string Cabin class
miles number Miles/points cost
seats_remaining number/null Seats available
program string Loyalty program (e.g., "united", "aeroplan")
jetlag_score_k2 number/null K2 score 0-100 (higher = better)
departure_time string/null Local departure time
arrival_time string/null Local arrival time

Present to user: Rank by jetlag_score_k2. Mention miles cost, program, and available seats. "ANA business via United MileagePlus: 88,000 miles, scores 76/100 for jetlag with 2 seats left."


7. Flight Compare

Compare 2-10 flights side by side with a recommendation.

curl -s -X POST "https://aerobase.app/api/v1/flights/compare" \
  -H "Authorization: Bearer $AEROBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "flights": [
      {
        "from": "SFO",
        "to": "LHR",
        "departure": "2026-05-20T16:30:00-07:00",
        "arrival": "2026-05-21T10:45:00+01:00",
        "cabin": "economy",
        "label": "United afternoon"
      },
      {
        "from": "SFO",
        "to": "LHR",
        "departure": "2026-05-20T21:15:00-07:00",
        "arrival": "2026-05-21T15:10:00+01:00",
        "cabin": "economy",
        "label": "BA red-eye"
      }
    ]
  }'

Required: flights array (2-10 items). Each flight needs from, to, departure, arrival. Optional per flight: cabin, label.

Response data:

Field Type Description
flights array Scored flights with full breakdown and per-flight strategies
recommendation.pick number Index of best option
recommendation.label string Label of recommended flight
recommendation.reason string Explanation of why it wins
deltas.score_range number Score spread across options
deltas.recovery_range number Recovery days spread
deltas.duration_range number Duration spread in minutes

Each flight in the array includes: score (composite, tier, recovery_days, direction, breakdown), explanation (summary, departure_strategy, arrival_strategy, shift_approach, recovery_estimate, tips[]).

Present to user: Lead with the recommendation. Show a comparison table. Highlight the key differentiator (arrival time, duration, recovery). "I recommend [label] - it scores X vs Y, saving you ~Z days of recovery because [reason]."


8. Recovery Plan

Generate a personalized jetlag recovery plan with pre-flight, in-flight, and post-arrival schedules. Optionally assess risk against arrival commitments.

curl -s -X POST "https://aerobase.app/api/v1/recovery/plan" \
  -H "Authorization: Bearer $AEROBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "from": "SFO",
    "to": "TYO",
    "departure": "2026-06-10T11:00:00-07:00",
    "arrival": "2026-06-11T14:30:00+09:00",
    "cabin": "business",
    "arrival_commitments": [
      { "event": "Client meeting", "time": "2026-06-12T09:00:00+09:00" },
      { "event": "Team dinner", "time": "2026-06-12T19:00:00+09:00" }
    ]
  }'

Required: from, to, departure, arrival. Optional: cabin, arrival_commitments[] (event name + time).

Response data:

Field Type Description
score object Composite score, tier, recovery_days, breakdown
recovery_plan.pre_flight_schedule array Days before departure - light exposure, sleep timing
recovery_plan.during_flight object In-flight strategy - when to sleep, eat, hydrate
recovery_plan.post_arrival_schedule array Day-by-day recovery schedule
recovery_plan.recovery_timeline array Hourly adaptation milestones
recovery_plan.personalized_insights array Tailored advice
commitment_risks array Per-commitment risk assessment
timezone_shift object Hours, direction

Each commitment risk includes: event, scheduled_time, body_clock_time (what your body thinks the time is), misalignment_hours, risk_level (low | moderate | high), warning.

Present to user: Start with the score. Walk through the plan chronologically: "3 days before: Start shifting sleep 30 min earlier each night. On the flight: Sleep from [time] to [time]. Day 1: Get morning sunlight before 10am..." If commitments exist, flag any high-risk ones prominently.


9. Itinerary Analyze

Analyze a multi-leg itinerary for cumulative jetlag fatigue, compounding effects, and recovery gaps.

curl -s -X POST "https://aerobase.app/api/v1/itinerary/analyze" \
  -H "Authorization: Bearer $AEROBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "legs": [
      {
        "from": "SFO",
        "to": "LHR",
        "departure": "2026-06-01T17:00:00-07:00",
        "arrival": "2026-06-02T11:00:00+01:00",
        "cabin": "business"
      },
      {
        "from": "LHR",
        "to": "DXB",
        "departure": "2026-06-05T09:00:00+01:00",
        "arrival": "2026-06-05T19:30:00+04:00"
      },
      {
        "from": "DXB",
        "to": "SIN",
        "departure": "2026-06-08T02:00:00+04:00",
        "arrival": "2026-06-08T14:00:00+08:00"
      },
      {
        "from": "SIN",
        "to": "SFO",
        "departure": "2026-06-12T23:30:00+08:00",
        "arrival": "2026-06-12T20:00:00-07:00"
      }
    ]
  }'

Required: legs array (2-20 legs). Each leg needs from, to, departure, arrival. Optional per leg: cabin.

Response data:

Field Type Description
legs array Per-leg analysis with adjusted scores
summary.total_legs number Number of legs
summary.total_timezone_shifts number Cumulative hours shifted
summary.net_offset number Net timezone offset at end
summary.worst_leg object Leg with lowest adjusted score
summary.cumulative_recovery_days number Total recovery days needed
summary.average_adjusted_score number Average score accounting for fatigue
summary.fatigue_risk string low / moderate / high / severe
summary.incomplete_recoveries number Legs where recovery was insufficient
recommendation string Actionable advice

Each leg includes: score, adjusted_score (fatigue-weighted), cumulative_offset, days_since_previous, recovery_factor (0-1, how recovered you were), fatigue_multiplier, carryover_benefit (same-direction bonus).

Present to user: Give the overall fatigue risk first. Walk through each leg noting whether recovery time was adequate. Highlight the worst leg. "Your DXB-SIN leg is the weak point - only 3 days after your LHR-DXB flight, your body clock is still catching up. Consider adding 1-2 days in Dubai."


10. Flight Lookup

Look up a specific flight by carrier and number. Includes jetlag scoring when schedule data is available.

curl -s "https://aerobase.app/api/v1/flights/lookup/NH/7/\?date=2026-06-10" \
  -H "Authorization: Bearer $AEROBASE_API_KEY"

Path: /v1/flights/lookup/{carrier}/{number} where carrier is the 2-letter IATA airline code and number is the flight number. Optional query: date (YYYY-MM-DD) for date-specific schedule lookup.

Response data:

Field Type Description
flight_number string Full flight designator (e.g., "NH7")
airline string Carrier code
origin string Departure IATA
destination string Arrival IATA
departure_time string Departure time
arrival_time string Arrival time
duration_minutes number/null Flight duration
stops number Number of stops
segments array/null Multi-segment details (codeshares)
jetlag object/null score (0-100), tier, recovery_days, direction, timezone_shift

Present to user: "NH7 (ANA) SFO-NRT departs 11:00, arrives 14:30+1. Duration: 11h30m. Jetlag score: X/100 (tier), ~Y days recovery heading [direction]."


Heartbeat: Deal Monitoring

Periodically check deals for the user's home airport. Run this every few hours or at the start of each session.

curl -s "https://aerobase.app/api/v1/deals?departure=SFO&sort=value_score&limit=5" \
  -H "Authorization: Bearer $AEROBASE_API_KEY"

If a deal has value_score > 80 or is_error_fare: true, proactively mention it:

"New deal alert: $312 SFO-Barcelona in economy, scores 71/100 for jetlag. Error fare - may disappear soon. [source_url]"

Only surface deals that score above 50 for jetlag - a cheap flight that wrecks your sleep for a week is not a good deal.


Presentation Guidelines

  1. Always mention jetlag score and recovery days - the primary differentiators.
  2. Compare scores when showing multiple options. Quantify the difference: "that's a full day less recovery."
  3. Highlight strategies - users want actionable advice, not just numbers.
  4. Convert data to language - "9 time zones heading east" not "timezone_shift_hours: 9".
  5. Context matters - a 70 on a 2-hour domestic flight is unremarkable; 70 on transpacific is excellent.
  6. Use tier labels - excellent, good, moderate, poor, severe.
  7. For awards - always mention the program, miles cost, and seats remaining together.
  8. For itineraries - focus on the weakest link and what to do about it.

Score Interpretation

Score Tier Recovery Meaning
80-100 Excellent 0-1 days Minimal jetlag, well-timed flight
65-79 Good 1-2 days Manageable with basic strategies
50-64 Moderate 2-3 days Noticeable jetlag, follow recovery plan
35-49 Poor 3-5 days Significant disruption expected
0-34 Severe 5+ days Consider alternative flight times
安全使用建议
This skill looks like a legitimate Aerobase travel API client, but its metadata and runtime instructions disagree: SKILL.md requires AEROBASE_API_KEY while the registry entry declares no credentials. Before installing or providing secrets: 1) Ask the publisher (or the registry) to update metadata to declare AEROBASE_API_KEY as a required credential and state intended permission/scope. 2) Verify the API domain (https://aerobase.app) is the official Aerobase endpoint and confirm the publisher identity. 3) If you test, use a limited-scope or throwaway API key and monitor requests to ensure calls go only to aerobase.app. 4) Prefer issuing short-lived/least-privilege keys, and do not reuse high-privilege credentials (e.g., cloud or payment keys). 5) Because this skill is instruction-only, there is no installed code to inspect — rely on declared metadata and the network endpoints it uses. The absence of automatic scan findings does not mean the mismatch is safe; fix the credential declaration before trusting the skill.
功能分析
Type: OpenClaw Skill Name: aerobase-travel-pro Version: 1.0.0 The aerobase-travel-pro skill is a legitimate travel intelligence suite providing tools for flight scoring, award searches, and itinerary analysis via the aerobase.app API. All documented tools (SKILL.md) use standard RESTful patterns with a user-provided API key, and no evidence of data exfiltration, malicious execution, or prompt injection was found.
能力评估
Purpose & Capability
Name/description (jetlag, award search, itinerary analysis) match the SKILL.md curl examples against https://aerobase.app/api. However registry metadata lists no required environment variables or primary credential while the SKILL.md explicitly instructs users to set AEROBASE_API_KEY — the declared requirements do not match the runtime needs.
Instruction Scope
SKILL.md is instruction-only and contains many concrete curl calls to Aerobase endpoints (search, score, awards, compare, deals). The runtime instructions expect an AEROBASE_API_KEY environment variable and instruct using the aerobase.app API. The instructions do not ask to read unrelated files or system paths, but they do rely on an undeclared secret (AEROBASE_API_KEY), which is scope-incoherent with the declared metadata.
Install Mechanism
No install spec and no code files — lowest-risk form from an installation perspective. Nothing is downloaded or written to disk by the skill itself.
Credentials
The SKILL.md requires AEROBASE_API_KEY for API calls, but the skill metadata lists no required env vars or primary credential. Requesting an API key is appropriate for this function, but failing to declare it in metadata is a misalignment that can hide credential usage from users and reviewers. No other unrelated credentials are requested.
Persistence & Privilege
always is false, the skill is user-invocable and can be invoked autonomously (platform default). The skill does not request persistent system privileges or modify other skills; no elevated persistence is requested.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install aerobase-travel-pro
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /aerobase-travel-pro 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Aerobase Travel Pro 1.0.0 introduces a comprehensive suite for jetlag-focused travel planning and award search. - Full access to Aerobase Travel API, including all free and pro-exclusive features. - Pro-exclusive tools: award flight search (24 loyalty programs), flight comparison with recommendations, personalized jetlag recovery plans, itinerary analysis, and advanced flight lookup. - Free features: jetlag scoring and ranking for flights, route intelligence, airport info, and jetlag-scored travel deals. - Enhanced responses: standardized envelopes, detailed breakdowns, and tips. - Increased limits: up to 50 results on searches/deals, more advanced filtering and data.
元数据
Slug aerobase-travel-pro
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Aerobase Travel Pro 是什么?

Full jetlag intelligence suite with award search, comparison, recovery plans, and itinerary analysis. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 245 次。

如何安装 Aerobase Travel Pro?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install aerobase-travel-pro」即可一键安装,无需额外配置。

Aerobase Travel Pro 是免费的吗?

是的,Aerobase Travel Pro 完全免费(开源免费),可自由下载、安装和使用。

Aerobase Travel Pro 支持哪些平台?

Aerobase Travel Pro 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Aerobase Travel Pro?

由 Aerobase(@kurosh87)开发并维护,当前版本 v1.0.0。

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