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-faresgit 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-fares)<a href="https://agentmods.dev/skills/oneill9/tfl-mcp-server/tfl-fares"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-fares/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-fares"><img src="https://agentmods.dev/badge/skills/oneill9/tfl-mcp-server/tfl-fares.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 | $0.00014 | $0.00213 |
| Opus 5 | $0.00007 | $0.00106 |
| Sonnet 5 | $0.00003 | $0.00043 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
tfl-fares 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 10d 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 fares MCP tool to look up fare information between two TfL stops.
When to use this skill
- The user asks how much a tube/train journey costs
- The user wants to compare peak vs off-peak fares
- The user asks about pay-as-you-go vs cash prices
How to use
- Call the
farestool withfromNameandtoNameparameters (stop names, not IDs) - The tool automatically resolves stop names to NaPTAN IDs
- Results include pay-as-you-go and cash single prices for peak and off-peak travel
- Present fares clearly, distinguishing between peak and off-peak pricing
Example queries
- "How much is the tube from Oxford Circus to Bond Street?"
- "What's the fare from Bank to Canary Wharf?"
- "How much does it cost to go from Paddington to Heathrow on the Elizabeth line?"
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.
- 10d ago First seen · 26 lines · 14 tokens per session scan A 07c6ffbeb8b8
tfl-fares is a skill published in the GitHub repository oneill9/tfl-mcp-server (1 stars, last pushed 3d ago), licensed MIT. It adds 14 tokens to every session and 213 once invoked, about $0.0001 per session on Opus 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.
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