A specialized assistant designed to discover, evaluate, and provide integration strategies for various public AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-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 openclaw-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 comprehensive tool within the Openclaw Skills ecosystem focused on navigating the rapidly expanding landscape of AI agents. It empowers developers and teams to identify the most suitable agentic systems based on specific functional requirements, performance benchmarks, and cost constraints.
By leveraging this skill, users can bypass manual research and get direct comparisons between major models like Claude and GPT-based agents. It streamlines the lifecycle of agent adoption from initial discovery to technical integration planning and ROI assessment.
Agent Discovery Use Cases
- Searching for specialized agents like free code review tools or data processors.
- Comparing the performance and capabilities of different AI model agents.
- Designing technical integration blueprints for internal systems.
- Conducting cost-benefit analysis for scaling agent usage.
How Agent Discovery Works
- Identify the user's specific functional need or agent category.
- Scan available public repositories and documentation to find matching agents.
- Perform a comparative analysis based on capabilities, model architecture, and pricing.
- Generate integration recommendations and implementation steps.
- Provide a detailed cost estimation for deployment and maintenance.
Agent Discovery Setup
To get started with this skill, ensure you have the Openclaw environment configured. You can install or enable the Agent Discovery skill using the following commands:
# Example command to enable the skill within the environment
openclaw skill add agent-discovery
Configure any necessary API keys for search providers or model registries to enhance discovery depth.
Agent Discovery Data Schema & Taxonomy
The Agent Discovery skill organizes data into structured reports and comparison tables for clear decision-making:
| Attribute | Description |
|---|---|
| Agent Name | The official designation of the discovered agent. |
| Provider | The organization or developer behind the agent (e.g., Anthropic, OpenAI). |
| Capability Score | Qualitative assessment of the agent's proficiency in specific tasks. |
| Integration Path | Recommended protocol or API for connecting the agent. |
| Estimated Cost | Projected pricing based on token usage or subscription models. |
Agent Discovery Advanced Features
- Multi-model benchmarking for Claude vs GPT agent capabilities.
- Automated cost projection based on enterprise usage patterns.
- Integration architecture design for complex Openclaw Skills workflows.
- Real-time marketplace monitoring for newly released AI agents.
SKILL.md
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