Wikipedia AirportsCAUTION
AI-powered travel hacking and search with cash, points, miles, and award flights. Drop-in skills and MCP servers for Claude, Codex, and OpenCode.
Overview
AI-powered travel hacking and search with cash, points, miles, and award flights. Drop-in skills and MCP servers for Claude, Codex, and OpenCode.
fda58ab480fdOBSERVED · 2026-10-14What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: wikipedia-airports
description: Discover destinations served from any airport via Wikipedia. Sanity-check whether an airline flies a specific route, find regional service that fare tools miss, identify late-split-return airport options.
category: flights
summary: Route discovery and airline-service sanity check via Wikipedia airport pages. Answers "does carrier X fly A→B" and "what airports serve destination Y" when fare tools disagree or miss obscure regional service. No API key.
license: MIT
---
# Wikipedia Airports
Use Wikipedia as a **route discovery and sanity-check source** for airport destinations. This is especially useful when:
- an airport page has an **Airlines and destinations** section
- an airline's own city-pair marketing pages confirm service patterns
- flight search tools disagree about whether a route exists
Wikipedia is **not a booking source** and not a real-time schedule source. Use it to discover likely routes, then confirm them with airline or fare tools.
## Best Use Cases
- "What destinations does SAN serve?"
- "Does Southwest fly SAN -> EUG?"
- "What airports can I use for a late split return?"
- "Which airline serves this small airport nonstop?"
## Workflow
### 1. Resolve the airport page from an IATA code
Use Wikipedia search with the airport code plus the word `airport`.
```bash
curl -s "https://en.wikipedia.org/w/api.php?action=query&list=search&srsearch=SAN+airport&format=json" \
| jq '.query.search[0:5][] | {title}'
```
Usually the first result is the airport page, e.g. `San Diego International Airport`.
### 2. Fetch the page
Use the readable page HTML or the wikitext parse API.
```bash
curl -s "https://en.wikipedia.org/w/api.php?action=parse&page=San_Diego_International_Airport&prop=wikitext&formatversion=2&format=json" \
| jq -r '.parse.wikitext'
```
Or fetch the rendered page:
```bash
curl -Ls "https://en.wikipedia.org/wiki/San_Diego_International_Airport"
```
### 3. Look for route sections
Search for headings like:
- `Airlines and destinations`
- `Destinations`
- `Passenger`
- `Airlines`
Example:
```bash
curl -s "https://en.wikipedia.org/w/api.php?action=parse&page=San_Diego_International_Airport&prop=wikitext&formatversion=2&format=json" \
| jq -r '.parse.wikitext' \
| rg -n "Airlines and destinations|Destinations|Passenger|Southwest|Eugene|Portland"
```
### 4. Treat airline city-pair pages as a second source
If the airport page is incomplete, use airline route pages to validate the pattern.
Examples:
```bash
curl -Ls "https://www.southwest.com/en/flights/flights-from-portland-or-to-san-diego" | rg "PDX|SAN|Portland|San Diego"
curl -Ls "https://www.southwest.com/en/flights/flights-from-portland-or-to-orange-county-santa-ana" | rg "PDX|SNA|Portland|Orange County"
```
This is especially useful for Southwest because:
- it is missing from most GDS sources
- route existence is often easier to verify from marketing pages than from award/cash APIs
### 5. Then confirm with fare tools
After Wikipedia suggests the route exists:
1. Check cash pricing with SerpAPI, Kiwi, Skiplagged, or Duffel (if supported)
2. Check Southwest separately when needed
3. Prefer airline/fare-tool evidence over Wikipedia if they disagree
## Decision Rules
### Use Wikipedia to answer:
- whether an airport likely has service to a destination
- which airlines appear to serve a city pair
- whether a small airport is worth searching
### Do NOT use Wikipedia to answer:
- exact daily schedules
- whether a flight is operating on a specific date
- current fares
- award availability
## Example: SAN and Southwest to EUG
If the SAN airport page or related route references indicate Southwest serves Eugene, treat that as a **lead**, not final proof.
Then validate with:
1. Southwest route pages or booking pages
2. Google Flights / SerpAPI
3. Southwest-specific search if available
This skill is most valuable when it tells you **"search this route, don't assume it doesn't exist."**
## Useful Patterns
### Airport page lookup by IATA code
```bash
CODE=SAN
curl -s "https://en.wikipedia.org/w/api.php?action=query&list=search&srsearch=${CODE}+airport&format=json" \
| jq -r '.query.search[0].title'
```
### Pull likely destination section lines
```bash
PAGE="San_Diego_International_Airport"
curl -s "https://en.wikipedia.org/w/api.php?action=parse&page=${PAGE}&prop=wikitext&formatversion=2&format=json" \
| jq -r '.parse.wikitext' \
| rg -n "Airlines and destinations|Destinations|Alaska|Southwest|United|Delta|Eugene|Portland|Redmond"
```
### Search for an airline + destination on the page
```bash
PAGE="San_Diego_International_Airport"
curl -s "https://en.wikipedia.org/w/api.php?action=parse&page=${PAGE}&prop=wikitext&formatversion=2&format=json" \
| jq -r '.parse.wikitext' \
| rg -n "Southwest|Eugene|EUG"
```
## Notes
- Wikipedia pages vary wildly in quality. Some airports have complete route tables; others are stale.
- Small airports are often better maintained than airline route databases for simple "does this exist?" checks.
- When Wikipedia and fare tools disagree, trust the fare/schedule sources for booking decisions.
- Use this skill as a **discovery and cross-check tool**, not a source of truth.Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
.agents/skills
.claude/skills
.opencode/skills
skills
AGENTS.md
Gates applied: no_behavioural_pass.
fda58ab480fdfull audit observations/trust-audit/skill/borski__wikipedia-airports.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-14 | fda58ab480fd | CAUTION | B | 89 | first audit |
Questions
What does the Wikipedia Airports skill do?
AI-powered travel hacking and search with cash, points, miles, and award flights. Drop-in skills and MCP servers for Claude, Codex, and OpenCode.
Is Wikipedia Airports safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Wikipedia Airports access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (fda58ab480fd), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.