Borrowing it
Nothing to install: this file belongs to ctxpipe-ai/ctxpipe. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ctxpipe-ai/ctxpipe/main/.agents/skills/use-railway/SKILL.mdgit clone --depth 1 https://github.com/ctxpipe-ai/ctxpipeWrote 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/ctxpipe-ai/ctxpipe/use-railway)<a href="https://agentmods.dev/skills/ctxpipe-ai/ctxpipe/use-railway"><img src="https://agentmods.dev/badge/skills/ctxpipe-ai/ctxpipe/use-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/ctxpipe-ai/ctxpipe/use-railway"><img src="https://agentmods.dev/badge/skills/ctxpipe-ai/ctxpipe/use-railway.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 | $0.00198 | $0.06562 |
| Opus 5.5 | $0.00079 | $0.02625 |
| Sonnet 5.5 | $0.00040 | $0.01312 |
| Haiku 4.5 | $0.00020 | $0.00656 |
Grade A, and why
use-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.
This is a copy
100% identical to use-railway — 72 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use Railway
Railway resource model
Railway organizes infrastructure in a hierarchy:
- Workspace is the billing and team scope. A user belongs to one or more workspaces.
- Project is a collection of services under one workspace. It maps to one deployable unit of work.
- Environment is an isolated configuration plane inside a project (for example,
production,staging). Each environment has its own variables, config, and deployment history. - Service is a single deployable unit inside a project. It can be an app from a repo, a Docker image, or a managed database.
- Bucket is an S3-compatible object storage resource inside a project. Buckets are created at the project level and deployed to environments. Each bucket has credentials (endpoint, access key, secret key) for S3-compatible access.
- Deployment is a point-in-time release of a service in an environment. It has build logs, runtime logs, and a status lifecycle.
Most CLI commands operate on the linked project/environment/service context. Use railway status --json to see the context, and --project, --environment, --service flags to override.
Tool routing
Railway has three agent-facing operation paths. Choose the path that matches the job:
- Railway CLI (
railway): workflows that depend on local machine state such as current working directory deploys,railway up,railway run, SSH, database analysis scripts, local linking, interactive setup, or exact command output. - Remote MCP (
https://mcp.railway.com): default plugin MCP path for account/project/service discovery, deployment state, bounded logs, feature flags, simple redeploys, simple project creation, or complex Railway workflows that can be handed torailway-agent. Remote MCP uses Railway OAuth and does not depend on local CLI state. - GraphQL: operations that neither MCP nor CLI exposes, or when a reference gives a specific GraphQL fallback.
If multiple paths are available, choose the one that preserves the needed context. The CLI fits workflows that need the current repo, local credentials, SSH, database scripts, or exact command output. Remote MCP fits OAuth-scoped platform operations that do not need local files or CLI state.
What ships with it
21 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.
- references/analyze-db-mongo.md 3.9 KB
- references/analyze-db-mysql.md 12 KB
- references/analyze-db-postgres.md 28 KB
- references/analyze-db-redis.md 9.5 KB
- references/analyze-db.md 16 KB
- references/configure.md 16 KB
- references/deploy.md 11 KB
- references/feature-flags.md 3.4 KB
- references/iac.md 9.6 KB
- references/operate.md 12 KB
- references/request.md 10 KB
- references/sandbox.md 10 KB
- references/setup.md 16 KB
- scripts/analyze-mongo.py 62 KB runs code
- scripts/analyze-mysql.py 49 KB runs code
- scripts/analyze-postgres.py 144 KB runs code
- scripts/analyze-redis.py 42 KB runs code
- scripts/dal.py 23 KB runs code
- scripts/enable-pg-stats.py 6.1 KB runs code
- scripts/pg-extensions.py 13 KB runs code
- scripts/railway-api.sh 1.7 KB runs code
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 · 358 lines · 198 tokens per session scan E a9d1277e6b59
use-railway is a skill published in the GitHub repository ctxpipe-ai/ctxpipe (27 stars, last pushed today), licensed MIT. It adds 198 tokens to every session and 6,562 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to use-railway, differing in 72 lines, and is treated as a copy.
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