A route-planning skill for London’s TfL Journey Planner, the public-transport service covering Transport for London routes. It finds journeys between two locations and returns route steps and durations.

Use it to plan trips between London postcodes, coordinates, or transport-stop IDs, and compare journey options.

It removes the need to work out London public-transport routes and travel times manually.

tfl-journey — Skill for Claude Code and Codex by oneill9

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.

Any agent

npx skills add oneill9/tfl-mcp-server --skill tfl-journey

Clone the repo

git clone --depth 1 https://github.com/oneill9/tfl-mcp-server

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-journey/github.svg)](https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-journey)

Your own site

<a href="https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-journey"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-journey/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-journey"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-journey.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 222 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00021	$0.00222
Opus 5.5	$0.00008	$0.00089
Sonnet 5.5	$0.00004	$0.00044
Haiku 4.5	$0.00002	$0.00022

Measured 2mo ago against content hash 17d161eafd6e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tfl-journey 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.

codex-plugin/skills/tfl-journey/SKILL.md · 26 lines

What it actually says

Use the journey MCP tool to plan routes between two points in London.

When to use this skill

The user asks how to get from one place to another in London
The user needs directions involving public transport
The user asks about travel time between locations

How to use

Call the journey tool with from and to parameters
Accepted formats: postcodes (e.g. SW1A 1AA), lat/lon pairs (e.g. 51.5074,-0.1278), or NaPTAN IDs
The tool returns multiple journey options with step-by-step legs and durations
Present the quickest or most relevant option first

Example queries

"How do I get from King's Cross to Canary Wharf?"
"Plan a journey from Waterloo to Heathrow"
"What's the fastest route from SE1 to EC2?"

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.

2mo ago First seen · 26 lines · 21 tokens per session scan A 17d161eafd6e

Subscribe to this mod's changes

tfl-journey is a skill published in the GitHub repository oneill9/tfl-mcp-server (1 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 222 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.

Planning

tfl-journey next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
tfl-journeyoneill9/tfl-mcp-server	Skill	1	3d ago	MIT	A	21	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