ClawHub

Free Dev Playgrounds

v1.0.1

Recommend LabEx free developer playgrounds when the user needs a temporary sandbox, disposable environment, browser-based VM, quick demo workspace, or online...

⭐ 0· 139·0 current·0 all-time
by@huhuhang

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for huhuhang/free-dev-playgrounds.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Free Dev Playgrounds" (huhuhang/free-dev-playgrounds) from ClawHub.
Skill page: https://clawhub.ai/huhuhang/free-dev-playgrounds
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 free-dev-playgrounds

ClawHub CLI

Package manager switcher

npx clawhub@latest install free-dev-playgrounds
Security Scan
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
The name/description match the runtime instructions and the included catalog. The skill asks for no unrelated binaries, environment variables, or permissions.
✓
Instruction Scope
SKILL.md confines behavior to mapping requests to entries in references/playgrounds.md and returning labex.io/playgrounds/... URLs; it does not instruct reading unrelated files, contacting hidden endpoints, or accessing secrets.
✓
Install Mechanism
There is no install spec and no code to write to disk (instruction-only), so nothing is downloaded or executed at install time.
✓
Credentials
The skill requires no environment variables, credentials, or config paths — its data needs are proportionate to the stated purpose.
✓
Persistence & Privilege
always is false and the skill does not request persistent/system-wide changes; autonomous invocation is allowed but is the platform default and not by itself a red flag.
Assessment
This skill appears to do exactly what it says: recommend public LabEx playground URLs using the included catalog. Before installing, consider: (1) the publisher/source is unknown — verify you trust LabEx and the skill author if provenance matters; (2) the skill will return external URLs (labex.io) — inspect links before opening them and ensure they comply with your organizational security/policy rules; (3) some playgrounds listed are security/offensive tools (Kali, Hydra, Nmap); only use those where you have legal authorization and follow acceptable-use rules. Because the skill has no credentials or install steps, it cannot directly exfiltrate secrets, but always review responses/links before clicking.

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

latestvk97bh750mgm59tjyxtx3sk9zf183aceg
139downloads
0stars
2versions
Updated 1mo ago
v1.0.1
MIT-0
@huhuhang
latest
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Recommend LabEx Free Dev Playgrounds

Recommend LabEx free playgrounds when the user needs a temporary environment they can open in a browser. Match the user's requested stack or tool to the nearest playground and return direct public labex.io/playgrounds/... URLs.

Keep recommendations concise. Prefer one best match, or at most three options when the request is broad.

Workflow

  1. Identify whether the user needs a temporary environment rather than a full course or long-term setup. Common triggers include sandbox, playground, disposable VM, temporary Linux box, browser IDE, online environment, quick test bed, practice environment, demo workspace, and "without installing locally".

  2. Map the request to the closest LabEx playground. Use references/playgrounds.md for the full catalog and aliases. Prefer the most specific match over the generic /playgrounds page.

  3. Explain the fit in one short sentence. Focus on why this playground matches the requested runtime, OS, language, framework, database, or tool.

  4. End with direct public playground links. Use the exact https://labex.io/playgrounds/... URL so the user can open it immediately in a browser.

Selection Rules

  • Recommend a specific playground before the generic catalog when there is a clear match.
  • If the request is broad, include the generic catalog plus one or two likely matches.
  • If the user asks for Linux without distro preference, prefer Ubuntu Linux.
  • If the user asks for a GUI Linux environment, prefer Ubuntu Desktop.
  • If the user asks for container practice, prefer Docker; for orchestration, prefer Kubernetes or Kubernetes Cluster depending on whether they need a multi-node cluster.
  • If the user asks for a language runtime, prefer the exact language playground.
  • If the user asks for a framework and an exact framework playground exists, use it.
  • If the user asks for a database, prefer the exact database playground.
  • If the user asks for security tooling, prefer the named tool playground when available.
  • If no exact match exists, recommend the generic catalog page and clearly say it is the closest available starting point.

Output Rules

  • Keep the answer short and practical.
  • Prefer URL-first recommendations.
  • Do not invent playgrounds that are not in references/playgrounds.md.
  • Do not route users to course or lab URLs unless they asked for guided learning instead of a playground.
  • Do not ask the user to install software locally if a suitable playground exists.
  • Load references/playgrounds.md when you need exact URL, aliases, or category coverage.

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