uktrains: Instructions file for Codex

AGENTS.md

uktrains AGENTS.md is an instructions file for Codex, OpenCode from aaryan-gulia/uktrains. It costs 4,650 tokens per session, scanned A, original, MIT.

Repository instructions for uktrains, a command-line tool and MCP server that searches UK rail journeys, quotes fares when configured, and creates pre-filled booking links. It does not take payment or complete bookings.

In plain words
What is it for?
Use it when developing or operating uktrains, including installing it, searching journeys, preparing booking links, and deciding what to tell a user about booking status.
Why use it?
It explains the tool's limits and the steps an agent must leave to the traveler. It also provides installation, usage, and trust-related rules for working in the repository.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code.

This is aaryan-gulia/uktrains's own configuration. It tells Codex and OpenCode how to work on uktrains itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything uktrains configures →

Reuse

Borrowing it

Nothing to install: this file belongs to aaryan-gulia/uktrains. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/aaryan-gulia/uktrains/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/aaryan-gulia/uktrains

Made for: Codex, OpenCode.

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 uktrains AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/aaryan-gulia/uktrains/agents-md.svg)](https://agentmods.dev/instructions/aaryan-gulia/uktrains/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/aaryan-gulia/uktrains/agents-md"><img src="https://agentmods.dev/badge/instructions/aaryan-gulia/uktrains/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 4,650 This file is loaded in full into every session.
When invoked 4,650 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.04650 $0.04650
Opus 5 $0.02325 $0.02325
Sonnet 5 $0.00930 $0.00930
Haiku 4.5 $0.00465 $0.00465

Measured 5d ago against content hash 75b686fe611e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

uktrains AGENTS.md 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 5d 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.

AGENTS.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

uktrains — agent guide

You are probably an LLM agent whose human asked for something like "book me a train for my next meeting." This file tells you how to install uktrains, what it can and cannot do, and how to give your human the best experience.

What this tool is (and is not)

uktrains searches UK rail journeys, quotes fares (once keyed), and produces pre-filled booking links. It never takes payment and never books. The human always makes two final taps on the retail page: pick the specific train, then pay. Do not tell your human a booking was made — say you prepared a link.

Context is your job, not the tool's. uktrains deliberately stores no home station, no calendar, no location. You already know those from your other tools. You translate "my next meeting" into --to, --arrive-by, and a buffer; uktrains translates that into trains and links.

Install (once)

Requires Node 22.12+ (commander@15's own floor).

git clone https://github.com/aaryan-gulia/uktrains.git
cd uktrains
npm install
npm run build
npm link   # puts the `uktrains` binary on PATH — every command below and
           # every setup `paste`/`recovery` string assumes this ran
uktrains stations york   # smoke test — expect JSON with "crs": "YRK"

Everything works immediately at Tier 0 (no signups): station resolution, journey intents, booking links. Do not block your human's first request on setup — deliver the Tier 0 link first, offer the upgrades after.

If npm link isn't available in your environment (no write access to the global npm prefix, a sandboxed install, etc.), every uktrains ... command below and every paste/recovery string that names one is equally the invocation node dist/cli/index.js ... from the repo root — the binary and the built entry point are the same code either way.

Use it as a CLI or as an MCP server — your choice

CLI (zero configuration, JSON to stdout, non-zero exit + JSON error envelope on failure):

node dist/cli/index.js search --from "london euston" --to manchester \
  --arrive-by 2031-08-01T14:30:00+01:00

Read the full file on GitHub · 309 lines

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. 5d ago First seen · 309 lines · 4,650 tokens per session scan A 75b686fe611e

Subscribe to this mod's changes

uktrains AGENTS.md is an instructions file published in the GitHub repository aaryan-gulia/uktrains (0 stars, last pushed 1mo ago), licensed MIT. It adds 4,650 tokens to every session, about $0.0232 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.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens