🐢 Open-Source Evaluation & Testing library for LLM Agents
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
WHartTest 是一款AI驱动的测试自动化平台,实现从需求到可执行测试用例的自动化生成与管理,帮助测试团队提升效率与覆盖率。 (WHartTest is an AI-driven test automation platform that automates the generation and management of executable test cases from requirements, helping testing teams improve efficiency and coverage.)
codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
AI-native SDLC skills for Claude Code: requirement intake & audit, adversarial review gate, AI test orchestration, decision re-check, release config audit
Jev 决策模型驱动的 UI 自动化测试框架:不生成「下一步做什么」的文字,而是在候选元素里直接打分;一句话写用例,pytest 执行,Allure 出报告,每个操作决策中位 458 ms(UI test automation driven by the Jev decision model — scored decisions, not generated prose; ~458 ms per decision)
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