Katalon Execute Test

Katalon Execute Test

Use this skill for running already-selected Katalon test cases or suites and reporting execution outcomes. Keep the larger katalon-trueplatform-testing skill as the end-to-end orchestrator; this skill is the focused execution workflow.

Availability Boundary

State the execution boundary before running:

• Available: read AUT environments, create manual test runs, start Run with AI, poll AI sessions, schedule automated suite runs, and read execution/test results.
• Not directly available: guarantee AI completion, inspect the live AUT UI through Katalon MCP, or run manual test cases through the automated scheduler.
• Use Browser/Playwright only when AUT exploration or visual verification outside Katalon MCP is needed.

Read references/capability-boundaries.md when capability scope is unclear.

Resolve Context First

Before creating or scheduling any run:

1. Call list_projects.
2. Call list_repositories.
3. Resolve the repository/Test Project from the user's wording or unique available repository.

Ask only when multiple equally valid repositories remain, required credentials are missing, or the next action is destructive.

Choose Execution Type

Use manual execution when:

• The user provides manual test cases.
• The user asks for Run with AI.
• The test cases were just created in Katalon.
• The input is a manual suite.

Use automated execution only when the input is an automated suite or suite collection.

If the user only says "run tests" and the type cannot be inferred, ask whether they want manual or automated execution.

Manual Run With AI

Always follow this order:

1. Call read_auts immediately before create_manual_test_run.
2. Resolve the manual cases or suites.
3. If a suite is provided, call read_test_suite before creating the run.
4. If individual cases are provided, call read_test_case for unclear or risky inputs.
5. Create the manual run with create_manual_test_run.
6. Start Run with AI automatically with create_manual_ai_session unless the user explicitly says not to run AI.
7. Poll read_manual_ai_session until all items leave TODO/IN_TESTING, or the platform returns an external timeout/error.
8. Read available execution/test result details before responding.

AUT rules:

• Never reuse AUT environment selection from an earlier turn or earlier run.
• Choose the AUT/environment whose URL or name clearly matches the target AUT.
• If no AUT exists and a URL is known from the user, requirement, or test data, use it as default_aut_environment_url.
• Ask only when multiple AUTs are equally plausible or no target URL can be resolved.

Read references/execution-workflow.md before creating manual executions.

Automated Execution

Use automated execution only for automated suites:

1. Find automated suites or suite collections with find_test_suites.
2. Find execution profiles with find_execution_profiles.
3. Find TestCloud environments with list_test_cloud_environments.
4. Build the run configuration with build_run_configuration.
5. Optionally build a schedule with build_schedule.
6. Run with schedule_test_run.
7. Read execution and test results with read_execution, read_execution_test_results, and read_test_result as needed.

Do not call create_manual_test_run for automated suites, and do not call schedule_test_run for individual manual test cases.

Report Results

After execution, report:

• Run name and link when returned.
• Final status.
• Passed, failed, blocked/incomplete, and not-run counts.
• Failed cases with concise failure reasons.
• Defects created or recommended.
• Gaps, skipped cases, and manual follow-up required.

Ask before creating ALM-linked defects unless the user explicitly requested defect creation for failures.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: katalon-labs
• Source: katalon-labs/true-skills
• License: MIT

Install and usage instructions live in the source repository linked above.