agent-toolkit

What This Skill Does

The Agent Toolkit is an essential utility for developers and AI engineers working within the OpenClaw ecosystem to manage, benchmark, and optimize their agent workflows. It acts as a comprehensive, persistent laboratory for your agent's decision-making processes. By providing a suite of specialized commands for logging configuration changes, benchmark results, and tool outputs, it enables a rigorous approach to agent development. Every interaction with the toolkit is timestamped and stored locally, creating a reliable audit trail that is easily searchable and exportable. Whether you are comparing two different prompt strategies, monitoring the cost of API calls, or evaluating the success rate of a specific tool, the Agent Toolkit provides the structured data necessary to make evidence-based improvements to your agents.

Installation

To integrate this utility into your workspace, run the following command in your terminal: clawhub install openclaw/skills/skills/bytesagain/ba-agent-toolkit

Use Cases

• Continuous Integration: Log the results of automated test suites to track the stability of your agent tools over time.
• Performance Tuning: Use the benchmark command to log latency and throughput metrics when swapping between different underlying AI models or tool logic.
• Cost Governance: Utilize the cost tracking feature to keep a running tally of resource usage, helping identify inefficient workflows or runaway processes.
• Comparison Studies: Run side-by-side experiments using the compare command to determine which prompt variations yield higher quality outputs.

Example Prompts

1. "agent-toolkit benchmark Model A performed at 450ms latency for the extraction task."
2. "agent-toolkit compare 'current_prompt' vs 'experimental_v2_prompt' regarding classification accuracy."
3. "agent-toolkit stats"

Tips & Limitations

• Storage: By default, logs are stored in ~/.local/share/agent-toolkit/. Ensure this directory has adequate disk space for long-term audit trails.
• Searchability: The full-text search feature is case-insensitive and operates across all category logs, making it ideal for finding historical configuration bugs.
• Formatting: The toolkit handles export generation for JSON, CSV, and TXT formats, allowing you to feed your agent's performance history into external data visualization tools for further analysis.
• Limitations: As a local file-based tool, it does not provide built-in cloud synchronization. Users requiring multi-machine persistence should consider backing up the data directory periodically.