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 ashish7802/awesome-api-skills --skill railwaygit clone --depth 1 https://github.com/ashish7802/awesome-api-skillsWrote 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/ashish7802/awesome-api-skills/railway)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/railway"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/railway/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/ashish7802/awesome-api-skills/railway"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/railway.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00541 |
| Opus 5.5 | $0.00000 | $0.00216 |
| Sonnet 5.5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
Grade A, and why
railway 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Railway API Skill
Quick Start
Railway allows you to deploy code simply by pushing to GitHub or using the CLI. The Railway Public API (GraphQL) allows programmatic management of projects, environments, and deployments.
npm install -g @railway/cli
Common Workflows
Environment Synchronization
Use the Railway CLI (railway run) to pull production or staging environment variables down to your local machine instantly, eliminating the need to manage .env files manually.
Production Patterns
Programmatic Deployments
Use the Railway GraphQL API to dynamically spin up new environments for Pull Requests, deploy specific images, and tear them down once the PR is merged.
Error Recovery
GraphQL errors are returned in the errors array of the response. Implement exponential backoff if you encounter rate limits when rapidly provisioning multiple services.
Security Notes
Generate Project Tokens for API access rather than Personal Tokens when automating CI/CD pipelines to restrict the blast radius to a single project.
Performance Considerations
Railway automatically manages Nixpacks builds. If your build is slow, provide a custom nixpacks.toml or Dockerfile to aggressively cache dependencies.
Testing Guidance
You can test deployment configurations entirely locally using railway up --detach linked to a sandbox project before applying changes to production.
Troubleshooting
If a deployment fails the health check, ensure your application is binding to the correct port (Railway injects the PORT environment variable) and 0.0.0.0 rather than localhost.
References
Related Skills
Why use this skill
Use this when your agent works with railway — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Using outdated SDK or API versions from training data
- Inventing environment variable names
- Omitting error handling and retry logic
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 61 lines · 0 tokens per session scan A 09e5ca4ab3c1
railway is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 541 tokens. 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 2026-09-03.
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