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 oneill9/tfl-mcp-server --skill tfl-arrivalsgit clone --depth 1 https://github.com/oneill9/tfl-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/oneill9/tfl-mcp-server/tfl-arrivals)<a href="https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-arrivals"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-arrivals/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/oneill9/tfl-mcp-server/tfl-arrivals"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-arrivals.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 | $0.00015 | $0.00193 |
| Opus 5.5 | $0.00006 | $0.00077 |
| Sonnet 5.5 | $0.00003 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
tfl-arrivals 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 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.
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.
What it actually says
Use the arrivals MCP tool to get real-time arrival predictions at TfL stops.
When to use this skill
- The user asks when the next train/bus/tube is arriving
- The user asks about departure times from a specific stop or station
- The user wants live arrival information
How to use
- Call the
arrivalstool with the stop name (e.g.oxford circus,bank,victoria) - The tool automatically resolves common stop names to NaPTAN IDs
- Results are sorted by arrival time, showing line name, destination, and minutes until arrival
- Present the nearest arrivals first
Example queries
- "When is the next tube from Oxford Circus?"
- "What buses are coming to Bank?"
- "Next arrivals at Victoria station"
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 · 26 lines · 15 tokens per session scan A a458ca42a739
tfl-arrivals is a skill published in the GitHub repository oneill9/tfl-mcp-server (1 stars, last pushed 3d ago), licensed MIT. It adds 15 tokens to every session and 193 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 2026-08-31.
tfl-arrivals compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tfl-arrivalsoneill9/tfl-mcp-server | Skill | 1 | 3d ago | MIT | A | 15 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |