tfl-crowding

tfl-crowding is a skill for Claude Code, Codex from oneill9/tfl-mcp-server. It costs 17 tokens per session (198 once invoked), scanned A, original, MIT.

A live crowding lookup for London transport stations. It reports how busy a station is compared with its typical level, where 100% represents the usual baseline.

In plain words
What is it for?
Checking the present crowding level of a named TfL station and comparing it with normal conditions.
Why use it?
It helps avoid unexpectedly busy stations or choose a quieter route using current information.

Skill for Claude CodeCodex

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

Good fit Checking the present crowding level of a named TfL station and comparing it with normal conditions.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-crowding"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-crowding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 198 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 $0.00017 $0.00198
Opus 5.5 $0.00007 $0.00079
Sonnet 5.5 $0.00003 $0.00040
Haiku 4.5 $0.00002 $0.00020

Measured 2mo ago against content hash ec7bf87c3ae5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tfl-crowding 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-crowding/SKILL.md · 26 lines

What it actually says

Use the crowding MCP tool to check how busy a TfL station is right now.

When to use this skill

  • The user asks how busy or crowded a station is
  • The user wants to know if a station is quieter than usual
  • The user is deciding whether to avoid a particular station

How to use

  1. Call the crowding tool with the stopName parameter (station name)
  2. The tool returns the current crowding level as a percentage of the typical baseline
  3. Values above 100% mean busier than usual; below 100% means quieter
  4. If crowding data is unavailable for a station, inform the user

Example queries

  • "How busy is Oxford Circus right now?"
  • "Is King's Cross crowded?"
  • "What's the crowding level at Victoria?"
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 · 17 tokens per session scan A ec7bf87c3ae5

Subscribe to this mod's changes

tfl-crowding is a skill published in the GitHub repository oneill9/tfl-mcp-server (1 stars, last pushed 3d ago), licensed MIT. It adds 17 tokens to every session and 198 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-crowding compared with skills from other repositories

tfl-crowding next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
tfl-crowdingoneill9/tfl-mcp-serverSkill13d agoMITA17Claude 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