ALAPI Interface Integration Assistant for Openclaw

An expert integration tool for the ALAPI platform that automates documentation retrieval, code generation, and API testing.

anhao
v1.0.0
Apr 10, 2026
0
775
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install alapi

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 alapi 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 ALAPI Interface Integration Assistant?

The ALAPI Interface Integration Assistant is a robust developer tool designed to bridge the gap between AI agents and the ALAPI platform. It provides a standardized way to interact with hundreds of APIs—ranging from IP queries to video analysis—by leveraging Openclaw Skills. The tool handles everything from searching the ALAPI catalog to reading OpenAPI specifications and generating production-ready code snippets.

By utilizing a zero-dependency Python script, this skill ensures that developers can safely test endpoints and integrate external data sources into their projects without manually parsing documentation. It prioritizes security and technical accuracy, offering clear pathways for token management and environment-specific implementations.

ALAPI Interface Integration Assistant Use Cases

  • Automating the discovery of relevant ALAPI endpoints for specific project requirements.
  • Generating boilerplate integration code in Python, JavaScript, PHP, or Go for ALAPI services.
  • Testing API responses directly from the command line or AI agent interface before full-scale implementation.
  • Researching API parameter requirements and response structures via OpenAPI specifications.

How ALAPI Interface Integration Assistant Works

  1. The user provides a functional description or an ALAPI documentation URL to the Openclaw Skills agent.
  2. The assistant uses a local script to search the ALAPI catalog or extract the API ID from the provided URL.
  3. It retrieves the full OpenAPI specification to understand required headers, parameters, and response bodies.
  4. If the user requires integration, it generates a minimal, executable code snippet based on the retrieved schema.
  5. Upon explicit confirmation and provision of an ALAPI token, it can execute live calls to verify the integration.

ALAPI Interface Integration Assistant Setup

To get started with these Openclaw Skills, ensure you have Python 3 installed and follow these steps:

  1. Define the skill directory and locate the integration script:
SKILL_DIR="/path/to/alapi"
SCRIPT="$SKILL_DIR/scripts/alapi.py"
  1. (Optional) Set your ALAPI token as an environment variable for easier access:
export ALAPI_TOKEN="your_token_here"
  1. Verify the installation by searching for a specific API:
python3 "$SCRIPT" --json search "IP query"

ALAPI Interface Integration Assistant Data Schema & Taxonomy

The skill follows the standard ALAPI response structure to ensure data consistency across all endpoints:

Field Type Description
success Boolean Indicates if the request was successful
code Integer HTTP-style status code (e.g., 200, 401, 429)
message String Description of the result or error
data Object The actual payload returned by the specific API
request_id String Unique identifier for debugging and tracking
time Timestamp Unix timestamp of the request execution

ALAPI Interface Integration Assistant Advanced Features

  • Smart Keyword Fallback: Automatically refines and decomposes search terms if initial queries yield zero results.
  • Multi-Language Code Generation: Supports Python (requests), JS/TS (fetch), PHP (curl), and Go (net/http).
  • Token Priority Logic: Smartly switches between explicit CLI tokens and environmental variables.
  • Client-Side Guardrails: Includes logic to prevent exposing tokens in frontend code by suggesting server-side proxy patterns.
  • OpenAPI Extraction: Dynamically parses complex API schemas to ensure generated code matches current documentation.

SKILL.md


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