awt-e2e-testing — quality + safety report
In the Skillier index (antigravity__awt-e2e-testing) · scanned 2026-06-03 · engine: builtin+triage
✓ Clean — no heuristic safety flags surfaced.
Heuristic flags from the builtin scanner, which is known to over-flag (it trips on legitimate env-reading integrations, security skills, and library .eval calls). This is NOT an authoritative malicious verdict — re-scan with SkillSpector for the authoritative result. Run the authoritative scan →
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Quality notes
About this skill
AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching OpenCV + OCR , platform auto-detection Flutter/React/Vue , learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
📄 Read the SKILL.md
--- name: awt-e2e-testing description: "AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g" risk: unknown source: "https://github.com/ksgisang/awt-skill" --- # AWT — AI-Powered E2E Testing (Beta) > `npx skills add ksgisang/awt-skill --skill awt -g` AWT gives AI coding tools the ability to see and interact with web applications through a real browser. Your AI designs YAML test scenarios; AWT executes them with Playwright. ## When to Use - You need AI-assisted end-to-end testing through a real browser with declarative YAML scenarios. - The test flow depends on visual matching, OCR, or platform auto-detection instead of stable DOM selectors. - You want an E2E toolchain that can both execute tests and explain failures for AI coding workflows. ## What works now - YAML scenarios → Playwright with human-like interaction - Visual matching: OpenCV template + OCR (no CSS selectors needed) - Platform auto-detection: Flutter, React, Next.js, Vue, Angular, Svelte - Structured failure diagnosis with investigation checklists - Learning DB: failure→fix patterns in SQLite - 5 AI providers: Claude, OpenAI, Gemini, DeepSeek, Ollama - Skill Mode: no extra AI API key needed ## Links - Main repo: https://github.com/ksgisang/AI-Watch-Tester - Skill repo: https://github.com/ksgisang/awt-skill - Cloud demo: https://ai-watch-tester.vercel.app Built with the help of AI coding tools — and designed to help AI coding tools test better. Actively developed by a solo developer at AILoopLab. Feedback welcome! ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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Graded independently by Skillproof — nothing to sell the author. Quality is mechanical + corpus-grounded; safety flags are heuristic (builtin+triage), not a malicious verdict.