Dockerlabs

v2.0.0

Learn Docker hands-on with tutorials on containers and orchestration. Use when studying Docker, practicing networking, exploring swarm mode.

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for bytesagain-lab/dockerlabs.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Dockerlabs" (bytesagain-lab/dockerlabs) from ClawHub.
Skill page: https://clawhub.ai/bytesagain-lab/dockerlabs
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install dockerlabs

ClawHub CLI

Package manager switcher

npx clawhub@latest install dockerlabs
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
The skill's name/description describe a local Docker learning/logging toolkit, and the included script implements that behavior (local logs under ~/.local/share/dockerlabs). However there is a metadata mismatch: SKILL.md lists runtime: python3 and a Requirements line (bash 4+ and standard Unix utilities), while the shipped executable is a Bash script. Registry metadata earlier showed no required binaries — this is inconsistent but likely sloppy metadata rather than malicious.
Instruction Scope
SKILL.md and scripts instruct only local operations: recording entries, searching logs, exporting to JSON/CSV/TXT, and reporting status. The runtime instructions and the script stay within the stated purpose and only read/write files under the user's home data directory. There are no instructions to read unrelated system files or send data externally.
Install Mechanism
There is no install spec (instruction-only), which is low risk. A code file (scripts/script.sh) is included; running it will create and modify files under ~/.local/share/dockerlabs. This is expected, but users should be aware the skill includes executable shell code that will run locally if invoked.
Credentials
The skill requests no environment variables or credentials. The script uses $HOME to place logs under ~/.local/share/dockerlabs — this is proportional to its purpose. There are no requests for unrelated secrets, cloud keys, or config paths.
Persistence & Privilege
always is false and the skill does not request persistent platform privileges. It only writes to its own data directory and does not modify other skills or system-wide configuration.
Scan Findings in Context
[pre-scan-injection-signals-none] expected: Static pre-scan reported no injection signals. The included script contains local file I/O and text processing but no network calls, credential access, or obvious obfuscated code.
Assessment
This skill appears to be a local logging/utility tool and not malicious, but review a few points before installing or running it: 1) Metadata mismatches: SKILL.md lists runtime: python3 and a Requirement for bash 4+, while the included executable is a Bash script — the script is the real runtime. 2) Local file writes: the tool creates and appends logs under ~/.local/share/dockerlabs; exported files (json/csv/txt) will contain those entries. Avoid recording sensitive secrets into the logs, and inspect existing files if you are concerned. 3) No network/credential use was found, but you should still review scripts/script.sh yourself (or run it in a sandbox) before invoking. 4) The registry lists no homepage; the SKILL.md advertises BytesAgain and an email address — if provenance matters, verify the author (bytesagain.com) before trusting long-term use. 5) There is a minor bug risk (the JSON export uses a literal "\n]" append which may produce invalid JSON) — test exports if you rely on them. If you want higher assurance, run the tool in a disposable container or VM and inspect the created files and behavior.

Like a lobster shell, security has layers — review code before you run it.

latestvk97b15r4ysjmt3ar7cz6vmjyrn8377g2
182downloads
0stars
1versions
Updated 1w ago
v2.0.0
MIT-0

Dockerlabs

Devtools toolkit for Docker-related workflows — check, validate, generate, format, lint, explain, convert, template, diff, preview, fix, and report on Docker configurations. All entries are logged locally with timestamps for full traceability.

Commands

CommandDescription
dockerlabs check <input>Check a Docker configuration or record a check entry
dockerlabs validate <input>Validate a Docker setup or record a validation entry
dockerlabs generate <input>Generate Docker artifacts or record a generation entry
dockerlabs format <input>Format Docker files or record a format entry
dockerlabs lint <input>Lint Dockerfiles or record a lint entry
dockerlabs explain <input>Explain Docker concepts or record an explanation entry
dockerlabs convert <input>Convert Docker configurations or record a conversion entry
dockerlabs template <input>Manage Docker templates or record a template entry
dockerlabs diff <input>Diff Docker configurations or record a diff entry
dockerlabs preview <input>Preview Docker setups or record a preview entry
dockerlabs fix <input>Fix Docker issues or record a fix entry
dockerlabs report <input>Generate reports or record a report entry
dockerlabs statsShow summary statistics across all entry types
dockerlabs export <fmt>Export all data (json, csv, or txt)
dockerlabs search <term>Search across all log entries
dockerlabs recentShow the 20 most recent activity entries
dockerlabs statusHealth check — version, data dir, entry count, disk usage
dockerlabs helpShow help with all available commands
dockerlabs versionShow current version (v2.0.0)

Each command (check, validate, generate, format, lint, explain, convert, template, diff, preview, fix, report) works in two modes:

  • No arguments: displays the 20 most recent entries from that command's log
  • With arguments: records the input with a timestamp and appends to the command's log file

Data Storage

All data is stored locally at ~/.local/share/dockerlabs/. Each action is logged to its own file (e.g., check.log, lint.log, generate.log). A unified history.log tracks all operations. Use export to back up your data anytime in JSON, CSV, or plain text format.

Requirements

  • bash 4+ (uses set -euo pipefail)
  • Standard Unix utilities (wc, du, grep, tail, sed, date)

When to Use

  • Tracking Docker configuration checks, validations, and linting results
  • Logging Docker file generation, conversion, and formatting operations
  • Keeping an audit trail of Docker troubleshooting and fixes
  • Exporting Docker operation history for reporting or compliance
  • Searching past Docker operations by keyword

Examples

# Record a Dockerfile lint result
dockerlabs lint "Dockerfile uses latest tag — pin to specific version"

# Record a validation check
dockerlabs validate "docker-compose.yml syntax OK, 3 services defined"

# Generate a template entry
dockerlabs generate "multi-stage build for Node.js app"

# View recent lint entries
dockerlabs lint

# Search for entries mentioning "nginx"
dockerlabs search nginx

# Export all data as JSON
dockerlabs export json

# Check overall health
dockerlabs status

# View summary stats
dockerlabs stats

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