seoul-subway

seoul-subway is a skill for Claude Code from kyopark2014/sam-project. It costs 26 tokens per session (11,866 once invoked), scanned A, original, Apache-2.0.

A Seoul Subway information assistant for finding train arrivals, routes, stations, service alerts, last trains, exits, accessibility facilities, quick-exit cars, and restrooms.

In plain words
What is it for?
Use it to check arrivals and delays, find lines and station codes, plan routes with time and fare, locate exits and facilities, and check last-train times in Korean or English.
Why use it?
It helps travelers get current subway information without having to search separate sources or know the station system in advance.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: model in frontmatter.

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.

agentmods
npx agentmods add skills/kyopark2014/sam-project/subway
Any agent
npx skills add kyopark2014/sam-project --skill subway
Clone the repo
git clone --depth 1 https://github.com/kyopark2014/sam-project

Made for: Claude Code.

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 seoul-subway

README.md
[![agentmods](https://agentmods.dev/badge/skills/kyopark2014/sam-project/subway.svg)](https://agentmods.dev/skills/kyopark2014/sam-project/subway)
Your own site
<a href="https://agentmods.dev/skills/kyopark2014/sam-project/subway"><img src="https://agentmods.dev/badge/skills/kyopark2014/sam-project/subway.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,866 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00026 $0.11866
Opus 5 $0.00013 $0.05933
Sonnet 5 $0.00005 $0.02373
Haiku 4.5 $0.00003 $0.01187

Measured 6d ago against content hash 2de56efc4e5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

seoul-subway 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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

> **Note:** The `curl` commands below are for API reference only.
application/skills/subway/SKILL.md · 1,179 lines

How it starts

The opening of the file, as written. The whole thing — 1,179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Seoul Subway Skill

Query real-time Seoul Subway information. No API key required - uses proxy server.

Features

Feature Description Trigger Example (KO) Trigger Example (EN)
Real-time Arrival Train arrival times by station "강남역 도착정보" "Gangnam station arrivals"
Station Search Line and station code lookup "강남역 몇호선?" "What line is Gangnam?"
Route Search Shortest path with time/fare "신도림에서 서울역" "Sindorim to Seoul Station"
Service Alerts Delays, incidents, non-stops "지하철 지연 있어?" "Any subway delays?"
Last Train Last train times by station "홍대 막차 몇 시야?" "Last train to Hongdae?"
Exit Info Exit numbers for landmarks "코엑스 몇 번 출구?" "Which exit for COEX?"
Accessibility Elevators, escalators, wheelchair lifts "강남역 엘리베이터" "Gangnam elevators"
Quick Exit Best car for facilities "강남역 빠른하차" "Gangnam quick exit"
Restrooms Restroom locations "강남역 화장실" "Gangnam restrooms"

Natural Language Triggers / 자연어 트리거

다양한 자연어 표현을 인식합니다:

Real-time Arrival / 실시간 도착
English 한국어
"When's the next train at Gangnam?" "강남 몇 분 남았어?"
"Trains at Gangnam" "강남 열차"
"Gangnam arrivals" "강남 언제 와?"
"Next train to Gangnam" "다음 열차 강남"
Route Search / 경로 검색
English 한국어
"How do I get to Seoul Station from Gangnam?" "강남에서 서울역 어떻게 가?"
"Gangnam → Seoul Station" "강남 → 서울역"
"Gangnam to Seoul Station" "강남에서 서울역 가는 길"
"Route from Gangnam to Hongdae" "강남부터 홍대까지"
Service Alerts / 운행 알림
English 한국어
"Is Line 2 running normally?" "2호선 정상 운행해?"
"Any delays on Line 1?" "1호선 지연 있어?"
"Subway status" "지하철 상황"
"Line 3 alerts" "3호선 알림"
Last Train / 막차 시간
English 한국어
"Last train to Gangnam?" "강남 막차 몇 시야?"
"When is the last train at Hongdae?" "홍대입구 막차 시간"
"Final train to Seoul Station" "서울역 막차"
"Last train on Saturday?" "토요일 막차 시간"

Read the full file on GitHub · 1,179 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. 6d ago First seen · 1,179 lines · 26 tokens per session scan A 2de56efc4e5e

Subscribe to this mod's changes

seoul-subway is a skill published in the GitHub repository kyopark2014/sam-project (8 stars, last pushed 28d ago), licensed Apache-2.0. It adds 26 tokens to every session and 11,866 once invoked, about $0.0001 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 2026-08-31.

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