Generate Tesla Car Wraps

v1.0.0

Call Craftsman Agent API OneKey Router to generate Tesla Car Wrap Images and Paints that will display on 3D screen.

1· 119·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for ai-hub-admin/generate-tesla-car-wraps.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Generate Tesla Car Wraps" (ai-hub-admin/generate-tesla-car-wraps) from ClawHub.
Skill page: https://clawhub.ai/ai-hub-admin/generate-tesla-car-wraps
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 generate-tesla-car-wraps

ClawHub CLI

Package manager switcher

npx clawhub@latest install generate-tesla-car-wraps
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
The name/description (generate Tesla car wraps via a OneKey router) aligns with the artifacts: both included scripts and SKILL.md call a OneKey agent router and require DEEPNLP_ONEKEY_ROUTER_ACCESS. Minor mismatch: SKILL.md lists npm and python packages (onekey-gateway, ai-agent-marketplace) and a recommended CLI that are not imported by the included scripts (the scripts call the HTTP endpoint directly), which is plausible if the CLI is a separate recommended tool but is worth verifying.
Instruction Scope
Runtime instructions are narrowly scoped to sending a JSON payload (prompt, image URLs, mode, car model, count) to https://agent.deepnlp.org/agent_router using the X-OneKey header. The SKILL.md does not instruct the agent to read unrelated files or environment variables. Small implementation issue: both scripts warn if the API key is missing but then continue and send an empty header value rather than exiting — this is a bug but not an indicator of malicious intent.
Install Mechanism
This is an instruction-only skill with included scripts; there is no download-from-arbitrary-URL or extract step. SKILL.md suggests npm/pip installs for convenience (global CLI and a python package). Those are typical and not inherently risky, though you should verify the npm package (@aiagenta2z/onekey-gateway) and pip package provenance before global installation.
Credentials
Only one required environment variable is declared (DEEPNLP_ONEKEY_ROUTER_ACCESS) and that is used as the OneKey API key in requests. No unrelated credentials, config paths, or secrets are requested.
Persistence & Privilege
The skill does not request permanent/always-on presence and uses default agent invocation settings. It does not modify other skills or system-wide configs.
Assessment
This skill appears coherent: it sends your DEEPNLP_ONEKEY_ROUTER_ACCESS key in an X-OneKey header to https://agent.deepnlp.org/agent_router to request generated wrap images. Before installing or running: (1) verify the OneKey API provider (DeepNLP) is trustworthy and that the key you provide is scoped appropriately (don’t use broad or high-privilege keys); (2) inspect or vet the npm package @aiagenta2z/onekey-gateway and the pip package ai-agent-marketplace before installing globally; (3) be aware the bundled scripts will attempt the request even if the env var is unset (they warn but do not exit) — consider setting a non-sensitive test key or modifying the script to abort if no key is present; (4) review network/endpoint policies if you need to restrict outbound traffic to known hosts. If you need higher assurance, ask the publisher for a canonical homepage/source repo and signed releases for the CLI packages before use.
scripts/generate_tesla_wraps.ts:55
Environment variable access combined with network send.
Confirmed safe by external scanners
Static analysis detected API credential-access patterns, but both VirusTotal and OpenClaw confirmed this skill is safe. These patterns are common in legitimate API integration skills.

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

latestvk975vaqw2zvytc3dtj77gkqbmn83qhm1
119downloads
1stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Generate Tesla Car Wraps

Call Craftsman Agent API OneKey Router to generate Tesla Car Wrap Images and Paints that will display on 3D screen.

Quick Start

  1. Set your environment variable DEEPNLP_ONEKEY_ROUTER_ACCESS.
  2. Use the CLI (primary suggested method) or the provided scripts.

Usage

1. CLI (Recommended)

CLI Illustration

onekey agent <unique_id> <api_id> $JSON --timeout 30000
  • <unique_id>: the unique identifier of the onekey routed agents, "owner/repo".
  • <api_id>: refers to the unique endpoint name of API.
  • $JSON: the json string passed to cli.
  • --timeout: controlls the timeout of API calling, unit is mill seconds.

Example

export DEEPNLP_ONEKEY_ROUTER_ACCESS=YOUR_ACCESS_KEY
onekey agent craftsman-agent/craftsman-agent generate_tesla_wraps '{"prompt":"I would like to paint my tesla model YL similar to race car, color of a blue and purple with stars","images":[],"mode":"basic","car_model":"tesla_model_yl","output_number":1}' --timeout 30000

2. Python REST API

python3 scripts/generate_tesla_wraps.py --prompt "I would like to paint my tesla model YL similar to race car, color of a blue and purple with stars" --mode basic --car-model tesla_model_yl --output-number 1

3. TypeScript REST API

node scripts/generate_tesla_wraps.ts --prompt "I would like to paint my tesla model YL similar to race car, color of a blue and purple with stars" --mode basic --car-model tesla_model_yl --output-number 1

Authentication

Remember to set the environment variable:

export DEEPNLP_ONEKEY_ROUTER_ACCESS=YOUR_ACCESS_KEY

Get your key at DeepNLP Workspace.

Demo Result

{"success":true,"text":"","images":[{"url":"https://us-static.aiagenta2z.com/local/files-wd/onekey_llm_router/efd67a8f-a427-4e56-8b00-c02d4eb332d5.png"}]}

Comments

Loading comments...