QIOS v1.0.1 : Example Consistency Fixes

Patch release for example quality fixes after the initial launch.

This version includes:

• fix for the invalid <r> placeholder in skills/gherkin-spec-writer/examples/output-login.feature
• removal of ambiguous expected results in API and QA example test cases
• alignment of duplicate-request expectations to a single expected result: 409 Conflict
• alignment of recipient-not-found examples to a single expected result: 404
• cleanup of self-transfer expected behavior to keep example outputs unambiguous

This release improves execution safety and keeps QIOS examples consistent, testable, and easier to reuse across agents and projects.

QIOS v1.0.0 : Initial Release

Initial release of QIOS (Quality Intelligence Operating System).

QIOS is a structured QA skill framework designed to guide AI agents in producing consistent, risk-aware, and execution-ready testing outputs.

This version includes:

• api-deep-analyzer → complete API test coverage
• api-spec-generator → Postman / Bruno generation
• qa-test-designer → structured test cases
• gherkin-spec-writer → BDD feature generation
• cypress-test-bootstrap → Cypress scaffolding

Repository foundations included in this release:

• AGENTS.md → global AI working agreement
• architecture, usage, and examples documentation
• shared QA references and reusable templates
• GitHub issue templates for bug reports and new skill requests

Core principles:

• structured QA reasoning
• reusable testing logic
• consistent output format
• versioned QA knowledge

This release establishes the foundation of QIOS as a QA skills system for AI-assisted testing.

Status

QIOS is stable and usable in its current form.

It is designed to evolve incrementally as new QA skills, supporting templates, and contribution workflows are added.