qa-ai-assisted
AI-assisted test generation: LLM-written tests from natural-language specs with confidence scoring, spec coverage gap mapping, and model-based testing. Builds state-machine models and turns them into test suites, and adds adversarial review agents (ai-test-curator, ai-test-shallow-coverage-critic) that catch hallucinated APIs, weak assertions, and happy-path-only coverage.
/plugin install qa-ai-assisted@testland-qaFirst time? Add the marketplace with /plugin marketplace add testland/qa
- Category
- AI & ML
- Version
v1.4.2- Contents
- 3 skills · 2 agents
- Part of
- qa-role-ai
Skills3
ai-spec-coverage-mapperUse when a spec and a test suite both exist but nobody can say which requirements are covered, before a release sign-off, an audit or planning test effort.skillai-test-generatorUse when tests should be generated from acceptance criteria, user stories or requirements with an LLM.skillmodel-based-test-graph-authorUse when a complex stateful flow (checkout, onboarding, multi-step wizard) needs systematic model-based coverage that ad-hoc tests miss.skill
Agents2
ai-test-curatorAdversarial reviewer for AI-generated tests - reads the LLM's output and flags hallucinated APIs (functions / classes / imports the LLM invented), weak assertions (.toBeTruthy() style), redundancy with existing tests, missing setup/teardown, and naming patterns the LLM defaults to.agentai-test-shallow-coverage-criticAdversarial reviewer that flags tests covering only the happy path - no boundaries, no error branches, no negative cases.agent
About qa-ai-assisted
AI-assisted test generation + curation. AI-generated tests from natural-language specs, coverage gap mapping, and two adversarial reviewers for AI-generated tests: one catches hallucinations / weak assertions / redundancy, the other owns the input-domain coverage audit (equivalence partitioning, boundary values, negative paths) that catches shallow happy-path-only suites. The model-based-test graph authoring skill produces structured state-machine input and runs the full graph-to-suite pipeline.