A specialized wrapper for the Ezer backend API that executes financial audit tasks and retrieves structured JSON results.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ezer-multiagent-auditor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ezer-multiagent-auditor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Ezer Audit API skill is a robust integration designed for Openclaw Skills that bridges the gap between AI agents and financial data backends. It provides a standardized interface to trigger complex audit tasks based on specific stock codes, fiscal years, and reporting periods, ensuring that developers can retrieve high-fidelity financial insights without manual overhead.
By leveraging this skill, users can programmatically interact with the Ezer backend, handling the entire lifecycle of an audit request from initial task creation to the final data extraction. This makes it an essential tool for building sophisticated financial analysis agents within the ecosystem of Openclaw Skills.
To integrate this skill into your Openclaw Skills workflow, ensure your environment is correctly configured with the following variables:
# Define the base URL for your Ezer API instance
export EZER_API_BASE_URL="http://127.0.0.1:8008"
# Optional: Provide a bearer token if your API requires authentication
export EZER_BEARER_TOKEN="your_secure_token"
# The skill requires python3 to execute the invocation script
python3 scripts/invoke_ezer_api.py --code 300750.SZ --period FY --year 2021 --lang zh-CN
The skill processes and returns data based on the following input parameters and structured output format:
| Field | Type | Required | Description |
|---|---|---|---|
| code | String | Yes | The stock ticker or entity code (e.g., 300750.SZ) |
| period | Enum | Yes | Reporting timeframe: FY, Q1, Q2, Q3, or H1 |
| year | Integer | Yes | The fiscal year for the audit (e.g., 2021) |
| lang | String | Yes | Output language code (e.g., zh-CN or en-US) |
All successful executions return a JSON object containing the full audit results as defined by the Ezer backend schema.
Loading
An advanced e-commerce optimization tool designed to analyze competitor pricing, fulfillment methods, and account health to help sellers capture and retain the Amazon Buy Box.

A comprehensive technical reference for mastering RSyslog architecture, RainerScript configuration, and high-performance log routing.

The Booth Giveaway Planner creates strategic, brand-aligned trade show giveaway ideas tailored to your specific audience, budget, and product story.

An expert AI trading assistant specialized in super short-term stock strategies, technical indicators, and market sentiment cycles.

A comprehensive framework for developing modular, self-contained packages that extend an AI agent's capabilities with specialized domain knowledge and workflows.

A big data-driven product selection agent for identifying winning items across Temu, SHEIN, AliExpress, and TikTok Shop.








































