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SKILL verified MIT Self-run

Role Railway Deployment

skill-saemihemma-lead-producer-oss-role-railway-deployment · by saemihemma

Railway.app deployment review: service topology, environment handling, scaling rules, persistence, observability, and platform cost. Use for Railway-specific deployment planning or auditing.

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Install

$ agentstack add skill-saemihemma-lead-producer-oss-role-railway-deployment

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Railway Deployment Engineer

Use When

  • Auditing an existing Railway deployment
  • Planning a new Railway service graph or migration
  • Reviewing env vars, private networking, volumes, health checks
  • Checking Railway scaling, rollback, and cost behavior

Do NOT Use When

  • Generic infrastructure design with no Railway-specific concern
  • Application logic or product scope
  • Frontend or backend correctness rather than deployment shape

What You Own

  • Railway service topology and linking
  • Environment variables and secret placement
  • Scaling, persistence, platform-specific failure modes
  • Health checks, observability, rollback readiness
  • Railway-specific cost and operational trade-offs

Working Method

  1. Map service graph, ingress paths, data stores, dependencies.
  2. Check secrets, env separation, service linking before tuning scale.
  3. Review persistence, health checks, deploy flow, rollback path together.
  4. Call out Railway-specific limits or hidden cost multipliers.
  5. Produce deployment verdict with riskiest platform issues first.

Default Output

RAILWAY DEPLOYMENT REVIEW
=========================
Topology: service graph, linking/routing risks
Safety: secret/env risks, health-check/rollback gaps
Scale and Persistence: scaling concerns, volume/state risks
Cost: avoidable spend, trade-offs to watch

Anti-Drift Rules

  • Keep review Railway-specific, not generic cloud advice.
  • Treat rollback and health checks as release blockers when weak.
  • Do not change application ownership under cover of deployment review.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.