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SKILL verified MIT Self-run

Katalon Release Analyze

skill-katalon-labs-true-skills-katalon-release-analyze · by katalon-labs

Analyze Katalon True Platform/TestOps release readiness from testing quality data. Use when you need to use Katalon MCP metrics and results to assess whether a release, sprint, iteration, version, test plan, suite, or repository is ready to ship; summarize requirement coverage, execution health, defect risk, test stability, configuration coverage, release blockers, quality gaps, and produce a Rea…

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Install

$ agentstack add skill-katalon-labs-true-skills-katalon-release-analyze

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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17d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Katalon Release Analyze

Use this skill to assess release readiness from Katalon MCP data. The output must be a testing-quality decision, not just a metric dump.

Availability Boundary

State the MCP boundary before promising an assessment:

  • Available through Katalon MCP: project/repository discovery, requirements, test cases, test suites, executions/results, quality summaries, defect data, stability data, and configuration coverage when tools are exposed.
  • Not directly available: create formal Test Plan entities, inspect live AUT UI, guarantee AI execution completion, or decide product/business readiness beyond test evidence.
  • If MCP tools are unavailable, provide only a framework/template and mark release confidence as Low until data is verified.

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

Required Scope

Resolve or ask for the minimum missing scope:

  • Katalon project and repository/Test Project.
  • Release identifier, sprint, iteration, version, test suite, suite collection, execution ID, or date range.
  • Target environment/configuration matrix when readiness depends on browsers, devices, OS, or deployment environments.
  • Quality gate thresholds when the team has defined them.

If the user gives only a release name or issue key, use MCP discovery first. Ask only when multiple equally plausible scopes remain.

MCP Data Collection

Always resolve context before analysis:

  1. Call list_projects.
  2. Call list_repositories.
  3. Resolve the repository/Test Project.
  4. Find the release scope using available requirement, suite, execution, iteration, or result tools.

Collect evidence with the available Katalon MCP tools:

  • Requirement and traceability: find_requirements, read_requirement, fetch_requirement_data.
  • Test case quality: find_test_cases, find_test_cases_by_requirement, fetch_test_case_data.
  • Suites and executable scope: find_test_suites, read_test_suite.
  • Executions and results: read_execution, read_execution_test_results, read_test_result, find_test_results.
  • Defect risk: fetch_defect_data.
  • Stability: fetch_test_stability_data.
  • Configuration coverage: fetch_test_configuration_data.

Use the freshest data available for the requested release. If comparing trend or stability, include the date range used.

Key Metrics

Report the metrics that are available and relevant:

  • Requirement coverage: total, covered, uncovered, linked test cases, requirements without passing evidence.
  • Test coverage: total tests, automated/manual split, unexecuted, blocked, stale, missing ownership or incomplete cases.
  • Execution health: latest executions, pass/fail/blocked/skipped/not-run counts, pass rate, failed P0/P1 tests.
  • Defect risk: open critical/high defects, release blockers, reopened defects, failed tests with linked defects, untriaged failures.
  • Stability: flaky tests, repeated failures, unstable suites/configurations, recent trend.
  • Configuration coverage: environments, browsers, devices, OS, execution profiles, and missing target combinations.
  • Data confidence: missing MCP data, stale executions, ambiguous release scope, or incomplete links.

Read references/release-quality-gates.md before making the final readiness decision.

Readiness Decision

Return one of:

  • Ready: no testing blocker remains; critical requirements have coverage and recent passing evidence; target configurations are sufficiently tested.
  • Ready with risk: no hard blocker remains, but moderate gaps or accepted risks exist.
  • Not ready: release-blocking defects, failed/blocked/unrun critical tests, missing critical coverage, stale evidence, or untested required configurations remain.

If thresholds are provided, apply them. If not, use risk-based judgment and state assumptions.

Never mark Ready when:

  • Critical/high release-blocking defects remain open.
  • P0/P1 tests are failed, blocked, or not run without accepted risk.
  • Critical requirements have no tests or no passing evidence.
  • Required target configurations are untested.
  • MCP data is unavailable or too incomplete to support confidence.

Response Format

Respond with:

Release Readiness: Ready | Ready with risk | Not ready
Confidence: High | Medium | Low

Key Metrics:
- Requirement coverage:
- Test execution:
- Defect risk:
- Stability:
- Configuration coverage:

Blocking Issues:
- ...

Risks / Gaps:
- ...

Recommendation:
- ...

Evidence:
- ...

Evidence should include execution IDs, suite names, requirement keys, defect IDs, or links when returned by the platform.

Follow-Up Actions

Recommend concrete next steps:

  • Create or link missing tests for uncovered critical requirements.
  • Re-run failed, flaky, or stale suites.
  • Resolve or accept specific defects.
  • Expand configuration coverage for missing release targets.
  • Use katalon-execute-test when execution is needed.
  • Use katalon-create-test-cases when coverage gaps require new manual cases.
  • Use katalon-upload-report when external automation results must be uploaded before assessment.

Source & license

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

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

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Versions

  • v0.1.0 Imported from the upstream source.