never-ask-twice: Skill for Claude Code

.agents/skills/railway-config/SKILL.md

railway-config is a skill for Claude Code, Codex from Marcelle-Labs/never-ask-twice. It costs 73 tokens per session (1,141 once invoked), scanned A, original, Apache-2.0.

A set of instructions for editing Railway infrastructure-as-code in a project. Infrastructure-as-code means describing services, databases, domains, and settings in source files so they can be managed consistently.

In plain words
What is it for?
Use it to create, import, review, change, or troubleshoot Railway services, databases, storage, domains, replicas, groups, and environment variables.
Why use it?
It helps keep Railway configuration readable and prevents secrets, internal identifiers, or conflicting configuration files from being added incorrectly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is Marcelle-Labs/never-ask-twice's own configuration. It tells Claude Code and Codex how to work on never-ask-twice 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 never-ask-twice configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is start: "NODE_ENV=production bun src/index.ts",.

Reuse

Borrowing it

Nothing to install: this file belongs to Marcelle-Labs/never-ask-twice. 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/Marcelle-Labs/never-ask-twice/main/.agents/skills/railway-config/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Marcelle-Labs/never-ask-twice

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 railway-config

README.md
[![agentmods](https://agentmods.dev/badge/skills/marcelle-labs/never-ask-twice/railway-config/github.svg)](https://agentmods.dev/skills/marcelle-labs/never-ask-twice/railway-config)
Your own site
<a href="https://agentmods.dev/skills/marcelle-labs/never-ask-twice/railway-config"><img src="https://agentmods.dev/badge/skills/marcelle-labs/never-ask-twice/railway-config/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 railway-config

Your own site · 80×15
<a href="https://agentmods.dev/skills/marcelle-labs/never-ask-twice/railway-config"><img src="https://agentmods.dev/badge/skills/marcelle-labs/never-ask-twice/railway-config.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,141 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 $0.00073 $0.01141
Opus 5 $0.00036 $0.00571
Sonnet 5 $0.00015 $0.00228
Haiku 4.5 $0.00007 $0.00114

Measured 10d ago against content hash 08dff6674cd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

railway-config 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.

.agents/skills/railway-config/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Railway configuration skill

Use this skill when editing this repository's Railway configuration.

The source of desired Railway project state is:

.railway/railway.ts

Core rules

  1. Express Railway product intent, not internal API details.
  2. Do not write Railway UUIDs into .railway/railway.ts.
  3. Do not write EnvironmentConfigPatch, ServiceInstance, Backboard internals, or generated Railway domains into source.
  4. Prefer Railway configuration helpers like service(), postgres(), redis(), mysql(), mongo(), bucket(), group(), github(), and image().
  5. Use service.env.VARIABLE and database.env.VARIABLE for references.
  6. Keep secrets out of source. Imported unknown secret values should use preserve() or be omitted when the user wants a smaller import.
  7. Prefer product DSL names such as domains, replicas, and group; avoid internal names like customDomains and multiRegionConfig.
  8. Do not add platform defaults unless the user explicitly wants them.
  9. Do not manage a service from both .railway/railway.ts and railway.json / railway.toml; migrate the repo config first.
  10. After editing .railway/railway.ts, run railway config plan.
  11. Do not run railway config apply unless the user explicitly asks.
  12. Never use railway config apply --yes or railway config apply --confirm-destructive from an agent session without explicit user approval for the exact plan.

Commands

Initialize configuration files:

railway config init

Import current Railway state:

railway config pull

Import current Railway state with a smaller generated file that omits unknown variable values:

railway config pull --omit-preserved-variables

Preview changes:

railway config plan

Apply changes:

railway config apply

Machine-readable preview:

railway config plan --json

Authoring

Use Railway configuration helpers:

import {
  bucket,
  defineRailway,
  github,
  group,
  image,
  mongo,
  mysql,
  postgres,
  preserve,
  project,
  redis,
  service,
} from "railway/iac";

Read the full file on GitHub · 215 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. 10d ago First seen · 215 lines · 73 tokens per session scan A 08dff6674cd2

Subscribe to this mod's changes

railway-config is a skill published in the GitHub repository Marcelle-Labs/never-ask-twice (1 stars, last pushed 7d ago), licensed Apache-2.0. It adds 73 tokens to every session and 1,141 once invoked, about $0.0004 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 skills, from other repositories

api-workers

Cloudflare Workers deployment using createWorkerHandler from @cyanheads/mcp-ts-core/worker. Covers the full handler signature, binding types, CloudflareBindings extensibility, runtime compatibility guards, and wrangler.toml requirements.

cyanheads/obsidian-mcp-server · 51 tokens

coolify

Operate a Coolify self-hosted PaaS through the @masonator/coolify-mcp server. Use this skill whenever the user asks Claude to inspect, deploy, restart, debug, or manage anything on Coolify — including applications, databases, services, servers, projects, environments, deployments, environment variables, private keys…

StuMason/coolify-mcp · 156 tokens

vercel-cli

Deploy apps to Vercel. Use when asked to deploy, ship, or publish a web application, or manage Vercel projects, domains, and environment variables.

suyoumo/ClawProBench · 38 tokens

nubase

Use when the user mentions Nubase broadly, wants a backend for an AI-generated app, or needs to deploy/publish generated code online — across Database, Auth, Storage, Assets (static frontend CDN), Functions (edge/serverless), AI Gateway, Memory, cron/scheduled jobs, Supabase-style REST/RLS, servicerole keys, or MCP.…

OtterMind/Nubase · 92 tokens

qwenpaw-usage

A QwenPaw command-line guide for setting up scheduled self-checks and packaging a QwenPaw workspace for another server.

alibaba/anolisa · 84 tokens

aba-precision-protocol

FOUNDATIONAL BEHAVIORAL PROTOCOL — ABA-based precision execution rules. Every prompt processed must follow these rules. Mistakes caught late create intermittent reinforcement of wrong patterns. Stop-fix-verify before proceeding.

dcostenco/prism-coder · 48 tokens