A comprehensive tool for searching, benchmarking, and designing integration strategies for AI agents within the Openclaw Skills framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skylv-agent-discovery
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skylv-agent-discovery 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 Agent Discovery?
Agent Discovery is a professional assistant designed to help developers and researchers navigate the expanding landscape of AI agents. It serves as a centralized hub for searching public agents, evaluating their specific capabilities, and determining the most effective ways to integrate them into existing technical architectures. By utilizing Openclaw Skills, users can move beyond simple discovery to perform deep technical assessments and cost-benefit analyses before committing to an integration path.
Agent Discovery Use Cases
- Searching for specialized agents like free code reviewers or data analysts.
- Comparing the core capabilities of agents based on different Large Language Models such as Claude or GPT.
- Designing technical integration schemes for embedding external agents into proprietary systems.
- Performing detailed cost analyses to predict the ROI and operational expenses of agent deployment.
How Agent Discovery Works
- The user submits a query regarding a specific functionality or a comparison between known agents.
- The skill analyzes the request against known agent directories and technical specifications compatible with Openclaw Skills.
- It synthesizes a report that highlights performance metrics, API availability, and structural requirements.
- For integration requests, it generates a step-by-step roadmap for technical implementation and budget planning.
Agent Discovery Setup
To utilize this skill, you must have the Openclaw environment configured on your local machine.
# Install the Agent Discovery skill through the CLI
openclaw install agent-discovery
# Confirm the skill is active in your Openclaw Skills library
openclaw list --active
Agent Discovery Data Schema & Taxonomy
The skill organizes its findings into structured data models to facilitate easy comparison and decision-making.
| Attribute | Type | Description |
|---|---|---|
| agent_name | String | The identifier of the discovered agent |
| provider_type | Category | Whether the agent is open-source, API-based, or model-specific |
| capability_metrics | Object | Scored performance benchmarks across different tasks |
| cost_structure | JSON | Detailed breakdown of token costs or subscription pricing |
| integration_readiness | Boolean | Assessment of how easily the agent fits into Openclaw Skills workflows |
Agent Discovery Advanced Features
- Comparative benchmarking to visualize performance differences between multiple agent providers.
- Automated cost projection tools based on user-defined workload scales.
- Custom integration scaffolding to generate boilerplate code for new Openclaw Skills connections.
- Multi-agent orchestration design to help plan workflows involving several specialized agents.
SKILL.md
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