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 borski/travel-hacking-toolkit --skill award-calendargit clone --depth 1 https://github.com/borski/travel-hacking-toolkitWrote 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/borski/travel-hacking-toolkit/award-calendar)<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.
<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>- 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 | $0.00052 | $0.01549 |
| Opus 5 | $0.00026 | $0.00775 |
| Sonnet 5 | $0.00010 | $0.00310 |
| Haiku 4.5 | $0.00005 | $0.00155 |
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" \ 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-aerodirectly) - 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,HNDfor 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: Uselowest_mileageto get cheapest first.take: Set to1000to 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
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.
- 13d ago First seen · 135 lines · 52 tokens per session scan A 0f7a18ffef8c
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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