tfl-bikes

tfl-bikes is a skill for Claude Code, Codex from oneill9/tfl-mcp-server. It costs 16 tokens per session (213 once invoked), scanned A, original, MIT.

A lookup tool for Santander Cycles docking stations in London, including the number of available bikes and empty docks. Santander Cycles are London's public bike-rental network.

In plain words
What is it for?
Finding stations near a place, checking live bike availability, and checking whether a station can accept a returned bike.
Why use it?
It avoids relying on stale assumptions about whether a nearby station has a bike to take or space to return one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Finding stations near a place, checking live bike availability, and checking whether a station can accept a returned bike.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oneill9/tfl-mcp-server/tfl-bikes
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-bikes
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.

agentmods badge for tfl-bikes

README.md
[![agentmods](https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-bikes/github.svg)](https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-bikes)
Your own site
<a href="https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-bikes"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-bikes/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.

agentmods 80×15 button for tfl-bikes

Your own site · 80×15
<a href="https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-bikes"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-bikes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 213 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.00213
Opus 5.5 $0.00006 $0.00085
Sonnet 5.5 $0.00003 $0.00043
Haiku 4.5 $0.00002 $0.00021

Measured 2mo ago against content hash 6615ef03313f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tfl-bikes 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-bikes/SKILL.md · 26 lines

What it actually says

Use the bike_points MCP tool to find Santander Cycles docking stations and check bike/dock availability.

When to use this skill

  • The user asks about bike availability near a location
  • The user wants to find a Santander Cycles docking station
  • The user needs to know if there are empty docks to return a bike

How to use

  1. Call the bike_points tool with an optional query parameter to filter by name/location
  2. Without a query, all bike points are returned (there are hundreds — use a query when possible)
  3. Results show the station name, number of available bikes, and number of empty docks
  4. Help the user identify the nearest or most convenient station

Example queries

  • "Are there any bikes available near Clerkenwell?"
  • "Find Santander Cycles docking stations near Waterloo"
  • "Where can I pick up a Boris bike near King's Cross?"
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. 2mo ago First seen · 26 lines · 16 tokens per session scan A 6615ef03313f

Subscribe to this mod's changes

tfl-bikes is a skill published in the GitHub repository oneill9/tfl-mcp-server (1 stars, last pushed 3d ago), licensed MIT. It adds 16 tokens to every session and 213 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.

Related

tfl-bikes compared with skills from other repositories

tfl-bikes next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
tfl-bikesoneill9/tfl-mcp-serverSkill13d agoMITA16Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code