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 agentmods add skills/artivilla/agents-config/deploymentnpx skills add artivilla/agents-config --skill deploymentgit clone --depth 1 https://github.com/artivilla/agents-configWrote 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/artivilla/agents-config/deployment)<a href="https://agentmods.dev/skills/artivilla/agents-config/deployment"><img src="https://agentmods.dev/badge/skills/artivilla/agents-config/deployment.svg" alt="Measured on agentmods" 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 | $0.00074 | $0.01536 |
| Opus 5 | $0.00037 | $0.00768 |
| Sonnet 5 | $0.00015 | $0.00307 |
| Haiku 4.5 | $0.00007 | $0.00154 |
Grade A, and why
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 5d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deployment Management
Manage existing Railway deployments: list, view logs, redeploy, or remove.
Important: "Remove deployment" (railway down) stops the current deployment but keeps the service. To delete a service entirely, use the environment skill with isDeleted: true.
When to Use
- User says "remove deploy", "take down service", "stop deployment", "railway down"
- User wants to "redeploy", "restart the service", "restart deployment"
- User asks to "list deployments", "show deployment history", "deployment status"
- User asks to "see logs", "show logs", "check errors", "debug issues"
List Deployments
railway deployment list --limit 10 --json
Shows deployment IDs, statuses, and metadata. Use to find specific deployment IDs for logs or debugging.
Specify Service
railway deployment list --service backend --limit 10 --json
View Logs
Deploy Logs
railway logs --lines 100 --json
In non-interactive mode, streaming is auto-disabled and CLI fetches logs then exits.
Build Logs
railway logs --build --lines 100 --json
For debugging build failures or viewing build output.
Logs for Failed/In-Progress Deployments
By default railway logs shows the last successful deployment. Use --latest for current:
railway logs --latest --lines 100 --json
Filter Logs
# Errors only
railway logs --lines 50 --filter "@level:error" --json
# Text search
railway logs --lines 50 --filter "connection refused" --json
# Combined
railway logs --lines 50 --filter "@level:error AND timeout" --json
Time-Based Filtering
# Logs from last hour
railway logs --since 1h --lines 100 --json
# Logs between 30 and 10 minutes ago
railway logs --since 30m --until 10m --lines 100 --json
# Logs from specific timestamp
railway logs --since 2024-01-15T10:00:00Z --lines 100 --json
Formats: relative (30s, 5m, 2h, 1d, 1w) or ISO 8601 timestamps.
Logs from Specific Deployment
What ships with it
4 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.
- 5d ago First seen · 223 lines · 74 tokens per session scan A e1183979610c
deployment is a skill published in the GitHub repository artivilla/agents-config (0 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 1,536 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.
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