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test-agent-workflow

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UpdatedMarch 2, 2026 at 00:37

Test an agentic system end-to-end. Use when verifying agent routing, subagent delegation, handoff payloads, compliance gates, and memory persistence after building agents and MCP servers.

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appliedcognetics

appliedcognetics/Swimwear

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Software Quality Assurance Analysts and TestersComputer and Mathematical Occupations·SOC 15-1253

SKILL.md

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name	test-agent-workflow
description	Test an agentic system end-to-end. Use when verifying agent routing, subagent delegation, handoff payloads, compliance gates, and memory persistence after building agents and MCP servers.
argument-hint	Agent or workflow to test (e.g., "full pipeline", "compliance gate", "research agent")

Test Agent Workflow

When to Use

After creating or modifying agents — verify they respond correctly
After wiring MCP servers — verify agents can call tools
After changing handoff logic — verify subagent delegation still works
Before demo or release — full end-to-end validation
Debugging a broken workflow — isolate which agent or handoff fails

Procedure

Ask the user what to test: specific agent, specific handoff, or full end-to-end pipeline
Read the test scenarios for pre-built test cases
For the selected scope, execute each test scenario:
- Agent isolation test: Invoke agent directly with sample input, verify output format matches spec
- Tool connectivity test: Verify MCP server tools return valid responses
- Handoff test: Invoke a caller agent, verify it delegates to the correct subagent with correct payload
- Compliance gate test: Submit non-compliant data, verify it gets flagged and blocked
- Memory persistence test: Run a workflow, verify entries appear in expected /memories/repo/ paths
For each test, record: PASS/FAIL, input used, output received, expected output
Report results using the output format below
For failures: identify the broken component (agent body, tool handler, handoff payload, MCP config) and suggest a fix

Validation Checklist

All agents respond to direct invocation
All MCP server tools return valid JSON
Handoff payloads match the shapes defined in authoring-rules.md
Compliance agent correctly flags non-compliant inputs
Memory entries have proper attribution metadata
End-to-end pipeline completes without errors
Output format matches agent specs

Output

Test	Scope	Input	Expected	Actual	Status
{test name}	{agent/handoff/e2e}	{sample input}	{expected output shape}	{actual output}	PASS/FAIL

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name	test-agent-workflow
description	Test an agentic system end-to-end. Use when verifying agent routing, subagent delegation, handoff payloads, compliance gates, and memory persistence after building agents and MCP servers.
argument-hint	Agent or workflow to test (e.g., "full pipeline", "compliance gate", "research agent")

Test Agent Workflow

When to Use

After creating or modifying agents — verify they respond correctly
After wiring MCP servers — verify agents can call tools
After changing handoff logic — verify subagent delegation still works
Before demo or release — full end-to-end validation
Debugging a broken workflow — isolate which agent or handoff fails

Procedure

Ask the user what to test: specific agent, specific handoff, or full end-to-end pipeline
Read the test scenarios for pre-built test cases
For the selected scope, execute each test scenario:
- Agent isolation test: Invoke agent directly with sample input, verify output format matches spec
- Tool connectivity test: Verify MCP server tools return valid responses
- Handoff test: Invoke a caller agent, verify it delegates to the correct subagent with correct payload
- Compliance gate test: Submit non-compliant data, verify it gets flagged and blocked
- Memory persistence test: Run a workflow, verify entries appear in expected /memories/repo/ paths
For each test, record: PASS/FAIL, input used, output received, expected output
Report results using the output format below
For failures: identify the broken component (agent body, tool handler, handoff payload, MCP config) and suggest a fix

Validation Checklist

All agents respond to direct invocation
All MCP server tools return valid JSON
Handoff payloads match the shapes defined in authoring-rules.md
Compliance agent correctly flags non-compliant inputs
Memory entries have proper attribution metadata
End-to-end pipeline completes without errors
Output format matches agent specs

Output

Test	Scope	Input	Expected	Actual	Status
{test name}	{agent/handoff/e2e}	{sample input}	{expected output shape}	{actual output}	PASS/FAIL