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 kyopark2014/sam-project --skill subwaygit clone --depth 1 https://github.com/kyopark2014/sam-projectWrote 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/kyopark2014/sam-project/subway)<a href="https://agentmods.dev/skills/kyopark2014/sam-project/subway"><img src="https://agentmods.dev/badge/skills/kyopark2014/sam-project/subway/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/kyopark2014/sam-project/subway"><img src="https://agentmods.dev/badge/skills/kyopark2014/sam-project/subway.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 | $0.00026 | $0.11866 |
| Opus 5.5 | $0.00010 | $0.04746 |
| Sonnet 5.5 | $0.00005 | $0.02373 |
| Haiku 4.5 | $0.00003 | $0.01187 |
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 2mo 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. 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" |
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.
- 2mo ago First seen · 1,179 lines · 26 tokens per session scan A 2de56efc4e5e
seoul-subway is a skill published in the GitHub repository kyopark2014/sam-project (8 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 11,866 once invoked, about $0.0001 per session on Opus 5.5. 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.
seoul-subway compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| seoul-subwaykyopark2014/sam-project | Skill | 8 | 3mo ago | Apache-2.0 | A | 26 | Claude Code |
| claude-md-improveranthropics/claude-plugins-official | Skill | 47k | today | Apache-2.0 | A | 82 | Claude Code |
| agent-platform-model-registrygoogle/skills | Skill | 24k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| gke-workload-securitygoogle/skills | Skill | 24k | yesterday | Apache-2.0 | A | 171 | Claude Code, Codex |
| google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skills | Skill | 24k | yesterday | Apache-2.0 | A | 132 | Claude Code, Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| viteantfu/skills | Skill | 6.1k | yesterday | MIT | A | 49 | Claude Code, Codex |