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193 lines
6.3 KiB
Markdown
193 lines
6.3 KiB
Markdown
---
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description: Atomic OpenClaw agent testing with deterministic communication validation and performance metrics
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title: openclaw-agent-testing-skill
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version: 1.1
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---
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# OpenClaw Agent Testing Skill
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## Purpose
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Test and validate OpenClaw agent functionality, communication patterns, session management, and performance with deterministic validation metrics.
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## Activation
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Trigger when user requests OpenClaw agent testing: agent functionality validation, communication testing, session management testing, or agent performance analysis.
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## Input
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```json
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{
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"operation": "test-agent-communication|test-session-management|test-agent-performance|test-multi-agent|comprehensive",
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"agent": "main|specific_agent_name (default: main)",
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"test_message": "string (optional for communication testing)",
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"session_id": "string (optional for session testing)",
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"thinking_level": "off|minimal|low|medium|high|xhigh",
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"test_duration": "number (optional, default: 60 seconds)",
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"message_count": "number (optional, default: 5)",
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"concurrent_agents": "number (optional, default: 2)"
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}
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```
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## Output
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```json
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{
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"summary": "OpenClaw agent testing completed successfully",
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"operation": "test-agent-communication|test-session-management|test-agent-performance|test-multi-agent|comprehensive",
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"test_results": {
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"agent_communication": "boolean",
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"session_management": "boolean",
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"agent_performance": "boolean",
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"multi_agent_coordination": "boolean"
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},
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"agent_details": {
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"agent_name": "string",
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"agent_status": "online|offline|error",
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"response_time": "number",
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"message_success_rate": "number"
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},
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"communication_metrics": {
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"messages_sent": "number",
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"messages_received": "number",
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"average_response_time": "number",
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"communication_success_rate": "number"
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},
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"session_metrics": {
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"sessions_created": "number",
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"session_preservation": "boolean",
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"context_maintenance": "boolean",
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"session_duration": "number"
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},
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"performance_metrics": {
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"cpu_usage": "number",
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"memory_usage": "number",
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"response_latency": "number",
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"throughput": "number"
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},
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"issues": [],
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"recommendations": [],
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"confidence": 1.0,
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"execution_time": "number",
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"validation_status": "success|partial|failed"
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}
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```
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## Process
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### 1. Analyze
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- Validate agent testing parameters and operation type
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- Check OpenClaw service availability and health
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- Verify agent availability and status
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- Assess testing scope and requirements
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### 2. Plan
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- Prepare agent communication test scenarios
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- Define session management testing strategy
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- Set performance monitoring and validation criteria
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- Configure multi-agent coordination tests
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### 3. Execute
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- Test agent communication with various thinking levels
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- Validate session creation and context preservation
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- Monitor agent performance and resource utilization
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- Test multi-agent coordination and communication patterns
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### 4. Validate
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- Verify agent communication success and response quality
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- Check session management effectiveness and context preservation
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- Validate agent performance metrics and resource usage
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- Confirm multi-agent coordination and communication patterns
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## Constraints
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- **MUST NOT** test unavailable agents without explicit request
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- **MUST NOT** exceed message length limits (4000 characters)
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- **MUST** validate thinking level compatibility
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- **MUST** handle communication timeouts gracefully
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- **MUST** preserve session context during testing
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- **MUST** provide deterministic performance metrics
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## Environment Assumptions
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- OpenClaw 2026.3.24+ installed and gateway running
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- Agent workspace configured at `~/.openclaw/workspace/`
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- Network connectivity for agent communication
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- Default agent available: "main"
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- Session management functional
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## Error Handling
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- Agent unavailable → Return agent status and availability recommendations
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- Communication timeout → Return timeout details and retry suggestions
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- Session management failures → Return session diagnostics and recovery steps
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- Performance issues → Return performance metrics and optimization recommendations
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## Example Usage Prompt
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```
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Run comprehensive OpenClaw agent testing including communication, session management, performance, and multi-agent coordination validation
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```
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## Expected Output Example
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```json
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{
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"summary": "Comprehensive OpenClaw agent testing completed with all systems operational",
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"operation": "comprehensive",
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"test_results": {
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"agent_communication": true,
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"session_management": true,
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"agent_performance": true,
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"multi_agent_coordination": true
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},
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"agent_details": {
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"agent_name": "main",
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"agent_status": "online",
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"response_time": 2.3,
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"message_success_rate": 100.0
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},
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"communication_metrics": {
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"messages_sent": 5,
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"messages_received": 5,
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"average_response_time": 2.1,
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"communication_success_rate": 100.0
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},
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"session_metrics": {
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"sessions_created": 3,
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"session_preservation": true,
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"context_maintenance": true,
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"session_duration": 45.2
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},
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"performance_metrics": {
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"cpu_usage": 15.3,
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"memory_usage": 85.2,
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"response_latency": 2.1,
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"throughput": 2.4
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},
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"issues": [],
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"recommendations": ["All agents operational", "Communication latency optimal", "Session management effective"],
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"confidence": 1.0,
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"execution_time": 67.3,
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"validation_status": "success"
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}
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```
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## Model Routing Suggestion
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**Fast Model** (Claude Haiku, GPT-3.5-turbo)
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- Simple agent availability checking
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- Basic communication testing with low thinking
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- Quick agent status validation
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**Reasoning Model** (Claude Sonnet, GPT-4)
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- Comprehensive agent communication testing
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- Session management validation and optimization
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- Multi-agent coordination testing and analysis
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- Complex agent performance diagnostics
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**Coding Model** (Claude Sonnet, GPT-4)
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- Agent performance optimization algorithms
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- Communication pattern analysis and improvement
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- Session management enhancement strategies
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## Performance Notes
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- **Execution Time**: 5-15 seconds for basic tests, 30-90 seconds for comprehensive testing
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- **Memory Usage**: <150MB for agent testing operations
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- **Network Requirements**: OpenClaw gateway connectivity
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- **Concurrency**: Safe for multiple simultaneous agent tests with different agents
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- **Session Management**: Automatic session creation and context preservation testing
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