What is railway-volume-to-docker?

A procedure for copying runtime data from a Railway deployment into a local Docker project. Railway is a service for deploying applications, while Docker runs applications in local containers.

It helps reproduce production-like behavior locally using data from a Railway volume, then test the application in Docker.

It lets developers test locally with realistic application state, while warning that the copied data may include secrets, tokens, sessions, and logs.

How chrysb/alphaclaw configures Claude Code and Codex

About the project

AlphaClaw is a browser-based management layer for OpenClaw, an AI-agent gateway, that guides setup and monitors running agents. It helps users configure multiple agents, manage integrations, recover gateway failures, and observe activity from one dashboard.

chrysb/alphaclaw · 1,479 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to chrysb/alphaclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/chrysb/alphaclaw/main/.agents/skills/railway-volume-to-docker/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/chrysb/alphaclaw

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/chrysb/alphaclaw/railway-volume-to-docker/github.svg)](https://agentmods.dev/skills/chrysb/alphaclaw/railway-volume-to-docker)

Your own site

<a href="https://agentmods.dev/skills/chrysb/alphaclaw/railway-volume-to-docker"><img src="https://agentmods.dev/badge/skills/chrysb/alphaclaw/railway-volume-to-docker/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/chrysb/alphaclaw/railway-volume-to-docker"><img src="https://agentmods.dev/badge/skills/chrysb/alphaclaw/railway-volume-to-docker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,047 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 6 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Tool Misuse · line 94
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
medium MCP Rug Pull · line 80
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123
low Tool Misuse · line 80
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
low Tool Misuse · line 80
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
low Tool Misuse · line 80
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
low Tool Misuse · line 80
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00045	$0.01047
Opus 5.5	$0.00018	$0.00419
Sonnet 5.5	$0.00009	$0.00209
Haiku 4.5	$0.00005	$0.00105

Measured 2mo ago against content hash 8f818f0eda71, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

railway-volume-to-docker scanned grade C with 1 finding 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 2mo 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

docker run --rm -v "$VOLUME_NAME":/data -v "$PWD":/backup alpine sh -lc "rm -rf /data/* /data/.[!.]* /data/..?* 2>/dev/null || true; cd /data && tar -xzf /backup/railway-data.tgz"

.agents/skills/railway-volume-to-docker/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Railway Volume To Docker

Copy a Railway service's /data volume into local Docker (openclaw-railway-template) so local testing uses real runtime data.

When to use

User asks to test locally with "real data"
User asks to sync Railway deployment data into Docker
User asks to copy production usage/session/config state to local

Preconditions

Railway CLI is installed and logged in.
Local repo ~/Projects/openclaw-railway-template exists.
Service uses /data as persistent root (ALPHACLAW_ROOT_DIR=/data).
User accepts that secrets/tokens may be copied locally.

Safety notes

This process can copy sensitive data (/data/.env, sessions, logs).
Never commit snapshot files.
Prefer local secure machine only.
Remove snapshot artifacts after restore.

Workflow

Run these commands from ~/Projects/openclaw-railway-template.

1) Confirm Railway target

railway status

Expected output should show project/environment/service linked to the intended deployment.

2) Verify remote volume path exists

railway ssh -- sh -lc "pwd && ls -la /data"

If /data is missing, stop and confirm service/container setup.

3) Build a remote snapshot archive

Use tolerant tar flags because live files can change during read.

railway ssh -- tar --warning=no-file-changed --ignore-failed-read -czf /tmp/railway-data.tgz -C /data .
railway ssh -- ls -lh /tmp/railway-data.tgz

4) Download snapshot (text-safe transfer)

Do not stream binary tar directly; use base64 to avoid transport corruption.

rm -f railway-data.tgz railway-data.tgz.b64
railway ssh -- base64 -w0 /tmp/railway-data.tgz > railway-data.tgz.b64
base64 -D -i railway-data.tgz.b64 -o railway-data.tgz
file railway-data.tgz
tar -tzf railway-data.tgz > /dev/null && echo "archive_ok"

On Linux, use base64 --decode railway-data.tgz.b64 > railway-data.tgz instead of base64 -D.

5) Restore snapshot into local Docker volume

docker compose up -d openclaw
CONTAINER_ID=$(docker compose ps -q openclaw)
VOLUME_NAME=$(docker inspect "$CONTAINER_ID" --format '{{range .Mounts}}{{if eq .Destination "/data"}}{{.Name}}{{end}}{{end}}')
docker compose stop openclaw
docker run --rm -v "$VOLUME_NAME":/data -v "$PWD":/backup alpine sh -lc "rm -rf /data/* /data/.[!.]* /data/..?* 2>/dev/null || true; cd /data && tar -xzf /backup/railway-data.tgz"
docker compose up -d openclaw

Read the full file on GitHub · 121 lines

Changes

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.

2mo ago First seen · 121 lines · 45 tokens per session scan C 8f818f0eda71

Subscribe to this mod's changes

railway-volume-to-docker is a skill published in the GitHub repository chrysb/alphaclaw (1,479 stars, last pushed 14d ago), licensed MIT. It adds 45 tokens to every session and 1,047 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Cloud Containers DevOps and cloud ai-agent gateway nodejs openclaw setup-ui watchdog

railway-volume-to-docker next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
railway-volume-to-dockerchrysb/alphaclaw	Skill	1.5k	14d ago	MIT	C	45	Claude Code, Codex
agent-bomLeoYeAI/openclaw-master-skills	Skill	2.2k	5d ago	MIT	A	99	Claude Code, Codex
kubernetesRightNow-AI/openfang	Skill	18k	4mo ago	Apache-2.0	A	17	Claude Code, Codex
pentest-cloud-infrastructurejd-opensource/JoySafeter	Skill	315	17d ago	Apache-2.0	A	25	Claude Code, Codex
Pynchy Opscrypdick/pynchy	Skill	10	1mo ago	MIT	B	110	Claude Code
xcloud-docker-deployAsif2BD/xCloud-Docker-Deploy-Skill	Skill	18	4mo ago	none	B	70	Claude Code, Codex
openshell-cliNVIDIA/OpenShell	Skill	21k	yesterday	Apache-2.0	A	134	Claude Code, Codex

alphaclaw: Skill for Claude Code