Cochesnet CLI for Openclaw

A command-line tool designed to search the coches.net marketplace and retrieve comprehensive listing details in table or JSON formats.

pjtf93
v0.1.0
Jan 26, 2026
1
2.4k
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Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install cochesnet-cli

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install cochesnet-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Cochesnet CLI?

Cochesnet CLI is a specialized utility that enables developers and AI agents to programmatically interact with the coches.net marketplace. By integrating this tool into the ecosystem of Openclaw Skills, users can perform high-speed searches and data extraction without the need for a web browser. It serves as a bridge to the official API gateway, allowing for the retrieval of vehicle metadata, pricing, and seller information directly through a terminal interface.

This skill is particularly valuable for those building automation scripts or data pipelines that require up-to-date information from the Spanish automotive market. As part of the wider range of Openclaw Skills, it provides a structured and efficient way to handle marketplace data, supporting both human-readable table outputs and machine-readable JSON for advanced technical workflows.

Cochesnet CLI Use Cases

  • Automating the tracking of specific car models and price drops over time.
  • Fetching full advertisement details using unique listing IDs for database synchronization.
  • Conducting broad market research across different vehicle makes and geographic locations.
  • Integrating live marketplace data into custom dashboards or reporting tools using Openclaw Skills.

How Cochesnet CLI Works

  1. The user executes a search or listing command via the terminal using the cochesnet binary.
  2. The skill identifies the search parameters, such as query strings, result limits, or specific ad IDs.
  3. A request is dispatched to the coches.net API gateway using authenticated-style headers and configurable environment variables.
  4. The raw response is parsed and formatted into the requested output type, such as a CLI table or a JSON object.
  5. The finalized data is presented to the user or passed to a downstream process within the Openclaw Skills framework.

Cochesnet CLI Setup

To utilize this tool within your Openclaw Skills environment, ensure you have Node.js 18 or higher installed. You can install the CLI globally via npm:

npm install -g cochesnet-cli

Configuration is handled via environment variables if you need to override the default gateway settings:

export COCHESNET_BASE_URL="https://apps.gw.coches.net"
export COCHESNET_APP_VERSION="7.94.0"

Cochesnet CLI Data Schema & Taxonomy

The skill organizes data into structured fields regardless of the output format. Below is the mapping of data points provided by the core commands:

Feature Search Command Fields Listing Command Fields
Core Data ID, Title, Price Title, Price, Description
Specs Year, KM Seller Info, URL
Metadata Location, URL Detailed Features

When using the --json flag, the data is returned as a parseable array of objects for search results or a single detailed object for listings, ensuring compatibility with other Openclaw Skills and automation scripts.

Cochesnet CLI Advanced Features

  • Native JSON output support for piping data into jq or other processing utilities.
  • Pagination controls using the --page and --limit flags to manage large datasets efficiently.
  • Fully customizable HTTP headers and User-Agent strings via environment variables to mimic various client environments.
  • Robust error handling with non-zero exit codes to facilitate reliable scripting within the Openclaw Skills ecosystem.

SKILL.md


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