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 Airport-Lounge-List/mcp-server --skill airline-lounge-accessgit clone --depth 1 https://github.com/Airport-Lounge-List/mcp-serverWrote 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/airport-lounge-list/mcp-server/airline-lounge-access)<a href="https://agentmods.dev/skills/airport-lounge-list/mcp-server/airline-lounge-access"><img src="https://agentmods.dev/badge/skills/airport-lounge-list/mcp-server/airline-lounge-access/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/airport-lounge-list/mcp-server/airline-lounge-access"><img src="https://agentmods.dev/badge/skills/airport-lounge-list/mcp-server/airline-lounge-access.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00032 | $0.00943 |
| Opus 5.5 | $0.00013 | $0.00377 |
| Sonnet 5.5 | $0.00006 | $0.00189 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade A, and why
airline-lounge-access 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 6d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Get into an airline lounge
Explain how to get into Delta Sky Clubs, United Clubs, Admirals Clubs and alliance lounges, and find them at an airport.
- Skill ID:
airline-lounge-access - Tags: travel, airlines, status, alliances, lounges
- Endpoint:
https://mcp.airportloungelist.com/mcp(MCP, Streamable HTTP)
Workflow
- Call
list_access_methods. The airline slugs are delta-sky-club, united-club, admirals-club, qantas-club, star-alliance-gold, oneworld-emerald, oneworld-sapphire and skyteam-elite-plus. - Find the cards whose
includes_accesslists the airline slug, for example amex-platinum for delta-sky-club, and name them as ways in. - Call
find_lounges_by_accesswith the airline slug and the user's airport to list the clubs there. - Say that airline clubs often need a same-day boarding pass on that airline or a partner, and point the user to the airline for current visit limits.
Tools
list_access_methods
List all available lounge access methods including credit cards (Amex Platinum, Chase Sapphire Reserve, etc.), membership programs (Priority Pass, LoungeKey, etc.), airline clubs, alliance status levels, and ticket classes.
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
},
"type": "object"
}
find_lounges_by_access
Find all airport lounges accessible with a specific credit card, membership program, airline club, alliance status, or ticket class. For example, find all lounges you can access with your Amex Platinum or Priority Pass membership. Pass airport to limit the results to one airport, e.g. the lounges an Amex Platinum card opens at JFK.
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"access_method": {
"type": "string",
"enum": [
"amex-platinum",
"chase-sapphire-reserve",
"capital-one-venture-x",
"citi-prestige",
"amex-centurion",
"hilton-aspire",
"marriott-brilliant",
"ritz-carlton",
"bilt-mastercard",
"amex-business-platinum",
"delta-reserve",
"united-club-infinite",
"united-explorer",
"citi-aadvantage-executive",
"us-bank-altitude-reserve",
"venture-x-business",
"priority-pass",
"loungekey",
"dragonpass",
"diners-club",
"plaza-premium",
"capital-one-lounge",
"chase-sapphire-lounge",
"business-class",
"first-class",
"day-pass",
"military",
"united-club",
"delta-sky-club",
"admirals-club",
"qantas-club",
"star-alliance",
"oneworld",
"skyteam",
"star-alliance-gold",
"oneworld-emerald",
"oneworld-sapphire",
"skyteam-elite-plus"
],
"description": "Access method slug (e.g. amex-platinum, priority-pass, chase-sapphire-reserve, business-class, star-alliance-gold)"
},
"airport": {
"type": "string",
"pattern": "^[A-Za-z]{3}$",
"description": "Optional airport IATA code (e.g. JFK, LHR). Only lounges at this airport are returned."
}
},
"required": [
"access_method"
],
"type": "object"
}
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.
- 6d ago First seen · 111 lines · 32 tokens per session scan A 6aa57d095cd1
airline-lounge-access is a skill published in the GitHub repository Airport-Lounge-List/mcp-server (0 stars, last pushed 8d ago), licensed MIT. It adds 32 tokens to every session and 943 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-15.
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