A comprehensive diagnostic tool for analyzing response times, token consumption, and tool call efficiency in AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-performance-profiler
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 agent-performance-profiler 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 Performance Profiler?
The Agent Performance Profiler is a specialized diagnostic utility designed to provide deep visibility into the operational efficiency of AI agents. By monitoring critical metrics such as first-token latency, total response time, and token consumption, this tool helps developers identify hidden bottlenecks in their systems. As a core component of the Openclaw Skills ecosystem, it enables teams to transform sluggish or expensive agents into highly efficient, cost-effective, and stable production-ready assets.
The tool doesn't just monitor; it provides actionable optimization strategies including prompt compression, context pruning, and parallel tool execution mapping. Whether you are building complex multi-step workflows or simple chat interfaces, this profiler ensures your agent meets high-performance benchmarks for speed and reliability.
Agent Performance Profiler Use Cases
- Monitoring first-token latency and total response times to improve user experience.
- Analyzing and reducing token consumption to lower API operational costs.
- Identifying redundant tool calls and converting sequential steps into parallel execution.
- Benchmarking agent performance across complex, context-heavy tasks.
- Automating prompt optimization to improve structural clarity and reduce output errors.
How Agent Performance Profiler Works
- Baseline Testing: Executes the agent through a series of standard test cases, from simple QA to tool-intensive tasks.
- Metric Collection: Captures real-time data on response times, token counts, and tool success rates.
- Bottleneck Identification: Automatically detects issues like context bloat, verbose prompts, or inefficient retry logic.
- Optimization Generation: Provides structured recommendations for prompt engineering and tool orchestration improvements.
- Verification: Measures the performance delta after optimizations are applied to ensure target benchmarks are met.
Agent Performance Profiler Setup
To integrate this profiler into your workflow, follow these installation steps:
- Install the skill via the Openclaw CLI:
openclaw install agent-performance-profiler
- Configure your environment for cost tracking:
export OPENCLAW_PROFILER_PRICING=enabled
- Trigger a manual analysis using the slash command:
/agent-profiler --task "your_test_case"
Agent Performance Profiler Data Schema & Taxonomy
The skill organizes performance data into a structured taxonomy for easy analysis:
| Category | Key Metrics | Optimization Focus |
|---|---|---|
| Latency | TTFT, TTFB, Total Time | Parallelism & Streaming |
| Token Usage | Input/Output counts, Cost | Compression & Pruning |
| Tool Efficiency | Success Rate, Redundant Calls | Caching & Batching |
| Reliability | API Error Rate, Timeout Rate | Retry Logic & Stability |
Agent Performance Profiler Advanced Features
- Automated prompt optimization using few-shot learning and structured output constraints to reduce tokens by up to 60%.
- Advanced tool call tracing to identify opportunities for concurrent execution and result caching.
- Contextual memory management that summarizes long histories to maintain relevance without bloating costs.
- Custom performance alerting system for real-time monitoring of latency or cost spikes within Openclaw Skills.
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