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 saemihemma/lead-producer-oss --skill role-railway-deploymentgit clone --depth 1 https://github.com/saemihemma/lead-producer-ossWrote 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/saemihemma/lead-producer-oss/role-railway-deployment)<a href="https://agentmods.dev/skills/saemihemma/lead-producer-oss/role-railway-deployment"><img src="https://agentmods.dev/badge/skills/saemihemma/lead-producer-oss/role-railway-deployment/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/saemihemma/lead-producer-oss/role-railway-deployment"><img src="https://agentmods.dev/badge/skills/saemihemma/lead-producer-oss/role-railway-deployment.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 | $0.00040 | $0.00359 |
| Opus 5 | $0.00020 | $0.00179 |
| Sonnet 5 | $0.00008 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
role-railway-deployment 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 11d 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.
What it actually says
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
- Map service graph, ingress paths, data stores, dependencies.
- Check secrets, env separation, service linking before tuning scale.
- Review persistence, health checks, deploy flow, rollback path together.
- Call out Railway-specific limits or hidden cost multipliers.
- 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.
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.
- 11d ago First seen · 46 lines · 40 tokens per session scan A d4a4b4054f19
role-railway-deployment is a skill published in the GitHub repository saemihemma/lead-producer-oss (2 stars, last pushed 7d ago), licensed MIT. It adds 40 tokens to every session and 359 once invoked, about $0.0002 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.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…