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 agentmods add skills/kyopark2014/sam-project/subwaynpx 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.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.05933 |
| Sonnet 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 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. 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.
- 6d 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 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.
Other skills, from other repositories
agent-platform-rag-engine-management
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…
chenhao-limit-up
Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.