award-calendar

award-calendar is a skill for Claude Code from borski/travel-hacking-toolkit. It costs 52 tokens per session (1,549 once invoked), scanned A, original, MIT.

A date-range search that shows the cheapest available airline award seats in a calendar grid. Award seats are flights that can be booked with points or miles rather than cash.

In plain words
What is it for?
Use it to find cheaper dates for a route, compare availability by cabin, and identify the best days to travel with points.
Why use it?
It saves time when travel dates are flexible by showing which days offer the lowest points prices.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the travel-hacker plugin — 48 skills, 1 agent, 6 MCP servers shipped together

Good fit Use it to find cheaper dates for a route, compare availability by cabin, and identify the best days to travel with points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/borski/travel-hacking-toolkit/award-calendar
Install

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.

Any agent
npx skills add borski/travel-hacking-toolkit --skill award-calendar
Clone the repo
git clone --depth 1 https://github.com/borski/travel-hacking-toolkit

Made for: Claude Code.

Or install travel-hacker, the plugin that ships this one along with the rest of its 48 skills, 1 agent, 6 MCP servers.

Wrote 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.

agentmods badge for award-calendar

README.md
[![agentmods](https://agentmods.dev/badge/skills/borski/travel-hacking-toolkit/award-calendar/github.svg)](https://agentmods.dev/skills/borski/travel-hacking-toolkit/award-calendar)
Your own site
<a href="https://agentmods.dev/skills/borski/travel-hacking-toolkit/award-calendar"><img src="https://agentmods.dev/badge/skills/borski/travel-hacking-toolkit/award-calendar/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.

agentmods 80×15 button for award-calendar

Your own site · 80×15
<a href="https://agentmods.dev/skills/borski/travel-hacking-toolkit/award-calendar"><img src="https://agentmods.dev/badge/skills/borski/travel-hacking-toolkit/award-calendar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,549 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.01549
Opus 5 $0.00026 $0.00775
Sonnet 5 $0.00010 $0.00310
Haiku 4.5 $0.00005 $0.00155

Measured 13d ago against content hash 0f7a18ffef8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

award-calendar 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 13d 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 -s -H "Partner-Authorization: $SEATS_AERO_API_KEY" \
plugins/travel-hacking-toolkit/skills/award-calendar/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Award Calendar

"When should I fly SFO to NRT on points?" answered with a calendar view.

Searches seats.aero across a date range and presents a grid showing the cheapest award per day, per cabin. Highlights the best dates to fly.

This is an orchestration skill. It tells the agent how to query seats.aero and format the results. No standalone script.

When to Use

  • "When's the cheapest time to fly SFO to NRT in business on points?"
  • "Show me award availability for SFO-CDG in September"
  • "I'm flexible on dates. When should I fly?"
  • Any award search where dates are flexible

When NOT to Use

  • Specific date search (use seats-aero directly)
  • Cash price calendar (use Google Flights "Date grid" or Skiplagged)
  • Hotel date flexibility (not supported here)

Workflow

Step 1: Search the Date Range

Use the seats.aero cached search API with a date range. The API supports up to ~60 days per query.

curl -s -H "Partner-Authorization: $SEATS_AERO_API_KEY" \
  "https://seats.aero/partnerapi/search?origin_airport={ORIGIN}&destination_airport={DEST}&start_date={START}&end_date={END}&cabin={CABIN}"

Parameters:

  • origin_airport: Can be comma-delimited for nearby airports (e.g., SFO,SJC,OAK)
  • destination_airport: Same. Use multiple for metro areas (e.g., NRT,HND for Tokyo)
  • start_date, end_date: YYYY-MM-DD. Keep range under 60 days for best results.
  • cabin: Optional filter. economy, premium, business, first. Omit for all cabins.
  • order_by: Use lowest_mileage to get cheapest first.
  • take: Set to 1000 to get all results in one page.

For ranges over 60 days, split into two queries and combine results.

Step 2: Group by Date

Process the API response:

For each availability object:
  date = result.Date
  cabin = which cabin(s) are available (Y/W/J/F)
  For each available cabin:
    cost = result.{cabin}MileageCost
    program = result.Source
    Track: cheapest cost per date per cabin across all programs

Read the full file on GitHub · 135 lines

Changes

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.

  1. 13d ago First seen · 135 lines · 52 tokens per session scan A 0f7a18ffef8c

Subscribe to this mod's changes

award-calendar is a skill published in the GitHub repository borski/travel-hacking-toolkit (659 stars, last pushed 5d ago), licensed MIT. It adds 52 tokens to every session and 1,549 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 2026-08-30.

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