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\n \"AgentQA\"\n

\n\n

\n AI-powered QA testing tool that explores websites, fills forms, clicks buttons, and finds bugs — automatically. Available as a headless CLI for coding agents.\n

\n\n

\n \"AgentQA\n

\n\n---\n\n\n## Compatibility & Requirements\n\n### Supported Operating Systems\n- **Windows (10/11)**: CLI compatibility.\n- **macOS (Apple Silicon & Intel)**: CLI compatibility.\n- **Linux (Ubuntu, Debian, etc.)**: CLI compatibility (optimized for headless CI/CD).\n\n### Supported Web Applications\nAgentQA operates directly on the DOM, making it compatible with any website or single-page application (SPA), including:\n- **Frontend Frameworks**: React, Vue, Angular, Svelte, SolidJS, Next.js, Nuxt, Astro, and vanilla HTML/JS.\n- **Modern UI Elements**: Dynamic forms, multi-select dropdowns, modal windows, iframes, multi-page redirects, and asynchronous state updates.\n\n---\n\n## Quick Start\n\n### Prerequisites\n\n- **Node.js 20+** and **npm 10+**\n- **browser-harness** — `uv tool install git+https://github.com/browser-use/browser-harness`\n- An API key for **OpenAI** or **Anthropic**\n\n---\n\n### Installation & Setup\n\n#### Option A: Desktop GUI App (Pre-built Installers)\n\nIf you prefer to run AgentQA using the React/Electron graphical desktop app with a live visual browser preview:\n\n* Download the installer for your operating system from the [GitHub Releases Page](https://github.com/AliSharjeell/AgentQA/releases).\n * **Windows**: `AgentQA Setup 0.1.7.exe`\n * **macOS**: `AgentQA-0.1.7.dmg` (Apple Silicon & Intel)\n * **Linux**: `AgentQA-0.1.7.AppImage` (Ubuntu, Debian, etc.)\n\n---\n\n#### Option B: CLI Installation (NPM Global)\n\nIf you are using AgentQA for coding agents (e.g., Claude Code, Cline), CI/CD pipelines, or command-line testing:\n\n```bash\n# 1. Install globally from npm\nnpm install -g @alisharjeel/agentqa\n\n# 2. Run the configuration wizard\nagentqa config\n\n# 3. Start testing immediately!\nagentqa https://saucedemo.com \"Login with standard_user/secret_sauce, add 2 items, checkout\" --verbose\n```\n\n---\n\n#### Option C: Running from Source (Development)\n\nIf you have cloned the repository and want to run or develop AgentQA locally:\n\n```bash\n# 1. Install dependencies\nnpm install\n\n# 2. Start the Desktop GUI App in development mode\nnpm run dev\n\n# 3. Or build the CLI entry point\nnpm run build:cli\n\n# 4. Link the package globally to test CLI modifications\nnpm link\n```\n\n---\n\n## CLI Usage\n\n

\n \"AgentQA\n

\n\n```\nagentqa [options]\nagentqa run [options]\nagentqa config [options]\n```\n\n### Subcommands\n\n* **`run` (Default)**: Run QA tests. Can be omitted if positional URL and prompt are provided.\n* **`config`**: Setup credentials interactively or via CLI flags (e.g. `agentqa config --api-key sk-xx --provider anthropic --vision off`).\n\n### Options:\n* `--url`: Target URL to test (can be a positional argument)\n* `--prompt`: QA task description (can be a positional argument)\n* `--provider`: API provider: `openai` | `anthropic`\n* `--api-key`: API key override\n* `--model`: LLM model name override\n* `--base-url`: API base URL override\n* `--mode`: Testing mode: `text` | `vision` (default: `text`)\n* `--agent-mode`: Harness executor mode: `standard` | `browser-use` | `advanced` (default: `standard`)\n* `--allow-escalation`: Allow executor switch requests outside advanced mode\n* `--max-steps`: Maximum agent loop steps (default: `25`)\n* `--template`: Run a built-in QA template by id\n* `--output-dir`: Directory where `result.json`, `report.md`, `report.html`, screenshots, DOM snapshots, console logs, and network logs are written\n* `--verbose`: Print step-by-step progress to stderr\n* `--timeout`: Max seconds per step (default: `120`)\n* `--json`: Output structured JSON directly to stdout\n\n### Built-in QA Templates\n\nAgentQA includes demo/regression templates in the desktop app and CLI:\n\n| ID | Scenario |\n|---|---|\n| `full-form-fill` | RoboForm all-fields form with verified text/select values |\n| `login-negative` | SauceDemo invalid-login rejection and password redaction |\n| `ecommerce-add-to-cart` | LambdaTest iPhone search/add-to-cart verification |\n| `responsive-mobile-smoke` | Desktop/mobile navigation and CTA smoke check |\n| `accessibility-quick-check` | Basic title, heading, label, alt text, and keyboard checks |\n\n### Output Format\n\n**stdout** — structured JSON for agent and CI parsing:\n\n```json\n{\n \"ok\": true,\n \"summary\": \"Successfully logged in, added 2 items, completed checkout. No confirmed bugs found.\",\n \"steps\": [\n { \"instruction\": \"Open login page\", \"status\": \"done\", \"result\": \"Loaded https://saucedemo.com\" },\n { \"instruction\": \"Enter credentials\", \"status\": \"done\", \"result\": \"Filled username and password\" },\n { \"instruction\": \"Submit login\", \"status\": \"done\", \"result\": \"Now at /inventory.html\" },\n { \"instruction\": \"Add products to cart\", \"status\": \"done\", \"result\": \"Added 2 items\" },\n { \"instruction\": \"Complete checkout\", \"status\": \"done\", \"result\": \"Order confirmed\" }\n ],\n \"durationMs\": 14200,\n \"url\": \"https://saucedemo.com\",\n \"error\": null\n}\n```\n\n**Exit codes:** `0` = pass, `1` = fail.\n\n### Agent Integration Example\n\n```bash\n# Setup API key\nagentqa config --api-key sk-ant-xxx --provider anthropic\n\n# Pipe result to jq in a script\nresult=$(agentqa https://staging.myapp.com \"Test signup form\")\necho $result | jq '.ok'\n\n# Use in a CI script\nif agentqa https://staging.myapp.com \"Verify login and dashboard\"; then\n echo \"QA passed\"\nelse\n echo \"QA failed\"\nfi\n```\n\n---\n\n## AI Agent Skill (for Antigravity, Claude Code, Codex, Cline, etc.)\n\n

\n \"AgentQA\n

\n\nWe provide a built-in skill so that AI coding assistants can learn how to use the `agentqa` CLI directly within your codebase. This allows agents to autonomously verify their own code changes!\n\n### How Agents Use It\nBecause the skill is located in the `skills/agentqa-cli/` directory of the repository:\n- **Antigravity / Codex**: Automatically discovers and loads the skill from the workspace root.\n- **Claude Code**: Reads and adopts instructions from the local `skills/` directory and `AGENTS.md` automatically when running in this project.\n- **Other Agents**: If using an extension (like Cline or Roo Code), you can import the custom skill instructions from `skills/agentqa-cli/SKILL.md`.\n\n*(This teaches the agent how to run `agentqa` and how to interpret the JSON output).*\n\n### Installing Globally in Claude Code\n\nIf you want the `agentqa-cli` skill to be available to Claude Code globally across all your projects, copy the skill folder to Claude's global skills directory:\n\n* **Windows**:\n ```powershell\n xcopy /E /I skills\\agentqa-cli %USERPROFILE%\\.claude\\skills\\agentqa-cli\n ```\n* **macOS / Linux**:\n ```bash\n cp -r skills/agentqa-cli ~/.claude/skills/agentqa-cli\n ```\n\n### Fetching the Skill in Other Repositories\n\nIf you want to install or reference the AgentQA skill in another workspace, you can instruct your agent using local file paths or web URLs:\n\n* **Via File URI (Antigravity/Codex)**:\n Provide the path using the `file://` scheme to point directly to the skill template:\n `file:///C:/Users/alish/.claude/skills/agentqa-cli/SKILL.md`\n* **Via Web URL**:\n Ask the agent to download the raw skill from GitHub:\n > \"Please download the AgentQA CLI skill configuration from \\`https://raw.githubusercontent.com/AliSharjeell/AgentQA/master/skills/agentqa-cli/SKILL.md\\` and save it locally in my project at \\`skills/agentqa-cli/SKILL.md\\`. After downloading, read the skill guidelines to understand how to verify my code changes using the global \\`agentqa\\` command.\"\n\n---\n\n## Project Structure\n\n```\nsrc/\n├── core/ # Shared engine (no Electron dependency)\n│ ├── api.ts # OpenAI / Anthropic LLM callers\n│ ├── engine.ts # Orchestrator: observe → LLM → act → retry\n│ ├── executor.ts # Execution harness (standard / browser-use / advanced)\n│ ├── harness.ts # browser-harness spawner + set_value preamble\n│ ├── prompt.ts # LLM prompt template for browser automation\n│ └── settings.ts # Load/save settings.json\n├── cli/ # Headless CLI frontend\n│ └── index.ts # Arg parser, runner, JSON output\n├── main/ # Electron desktop app (main process)\n│ ├── index.ts # Window, BrowserView, IPC registration\n│ └── db/\n│ └── qaTaskRepo.ts # Task + report JSON storage\n├── preload/ # Context bridge (renderer ↔ main)\n│ └── index.ts\n├── renderer/ # React frontend\n│ ├── index.html\n│ └── src/\n│ ├── main.tsx # React entry point\n│ ├── App.tsx # Sidebar nav + page router\n│ ├── styles.css # Tailwind + design system\n│ └── pages/ # UI pages (Dashboard, Settings, etc.)\n├── shared/ # Types shared across all targets\n│ └── types.ts\nscripts/\n├── build-cli.mjs # esbuild bundler for CLI\n└── welcome.js # Post-install welcome banner\nskills/\n└── agentqa-cli/ # Claude Code / agent skill for CLI integration\n```\n\n---\n\n## How It Works\n\n1. **Observe** — Scrapes the page DOM for interactive elements (buttons, inputs, links) with coordinates\n2. **Plan** — Sends the DOM observation + user prompt to an LLM (Claude/GPT) which generates a Python browser-harness script\n3. **Act** — Pipes the script to `browser-harness` which controls Chrome via CDP (fills forms, clicks buttons, navigates)\n4. **Retry** — If the script fails, retries up to 3 times with the error context\n5. **Report** — Returns structured results with pass/fail, step details, and a summary\n\n### Page Text Reading & Extraction\n\nAgentQA has full page reading and visual understanding capabilities:\n* **DOM Scraper (Text Mode)**: Automatically extracts and parses text contents, table headers, paragraph tags, placeholder text, values, and accessibility labels from the page. This is formatted into a clean text-based structural representation for the LLM.\n* **Visual Verification (Vision Mode)**: When configured in vision mode (`--mode vision`), the tool takes screenshot captures of the browser viewport at each execution step. This allows the LLM to inspect visual layouts, read rendered/stylized text, check imagery, and detect visual regression/bugs.\n\n### Human-Like Observable Typing\n\nTo make browser actions clear and observable in the live preview window:\n* **Progressive Typing**: Input fields are populated character-by-character with a slight dynamic typing delay (defaults to 30ms per character). This avoids instantaneous text snaps and lets developers watch inputs as they happen.\n* **Length-Based Scaling**: Typing speed dynamically scales for long inputs (e.g. descriptions, JSON text) to prevent blocking the test pipeline, capping the duration for any single text block at 1.5 seconds.\n\n### Key Design Decisions\n\n- **`set_value()` over `fill_input()`** — Uses JavaScript to set input values progressively (via prototype descriptor + event dispatch) instead of CDP key events, which avoids double-typing.\n- **No browser bundled** — Uses `browser-harness` which manages its own Chrome daemon. No Playwright browser download required.\n- **Shared engine** — `src/core/` has zero Electron imports.\n- **Step budget extension** — When the agent hits its step limit near completion, a secondary LLM can grant a bounded 1–15 step extension on high-confidence near-completion tasks.\n\n## What's New (v0.1.7)\n\n- **Hybrid executor mode** — Seamless switching between `standard` and `hybrid` execution modes mid-run, using a secondary LLM to decide when to switch.\n- **Batch harness actions** — Reduced LLM calls by batching multiple element actions into single script executions, improving throughput.\n- **Stabilized harness loop & fault reporting** — Improved retry logic and fault classification for more reliable step recovery.\n- **Bounded step budget extension** — Agent can request a small step extension when clearly near completion (approved once per run, confidence-gated).\n\n---\n\n## Tech Stack\n\n| Layer | Technology |\n|---|---|\n| Desktop framework | Electron 34 |\n| Build tool | electron-vite 3 + esbuild (CLI) |\n| Frontend | React 18 + TypeScript |\n| Styling | Tailwind CSS 3 |\n| Icons | Lucide React |\n| Browser automation | browser-harness (CDP) |\n| AI | Anthropic Claude / OpenAI GPT |\n| Language | TypeScript 5 (ES2022) |\n\n---\n\n## Available Scripts\n\n```bash\nnpm run dev # Start Electron app in development mode\nnpm run build # Build full app (TypeScript check + Electron + CLI)\nnpm run build:cli # Bundle CLI only to out/cli/index.js\nnpm run typecheck # Full TypeScript check (all targets)\nnpm run typecheck:cli # TypeScript check (CLI only)\nnpm run dist # Build distributable installers (electron-builder)\nnpm run dist:win # Build Windows installer only\nnpm start # Preview built Electron app\n```\n\n---\n\n## Configuration\n\nSettings are stored in `%APPDATA%/agentqa/settings.json`:\n\n```json\n{\n \"apiProvider\": \"anthropic\",\n \"apiKey\": \"sk-ant-xxx\",\n \"apiBaseUrl\": \"\",\n \"model\": \"claude-sonnet-4-20250514\",\n \"visionMode\": false\n}\n```\n\nThe CLI also accepts settings via command-line flags and environment variables. You can create a `.env` file or export them directly in your shell:\n\n```bash\nQA_API_PROVIDER=anthropic\nQA_API_KEY=sk-ant-xxx\nQA_API_MODEL=claude-3-5-sonnet-20241022\nQA_API_URL=https://api.anthropic.com\n```\n\n*Note: In Node.js 20+, you can load a `.env` file natively using `node --env-file=.env out/cli/index.js run ...`*\n\n---\n\n## QA Agent Rules\n\nThe AI agent follows these rules when testing:\n\n- Never report a bug unless verified twice after waiting, scrolling, and checking the correct page\n- If no bugs are found, say **\"No confirmed bugs found\"** — never invent issues\n- If navigation fails or URL becomes `chrome-error://chromewebdata`, mark as **infrastructure failure**, not a website bug\n- Use `set_value()` for all form inputs (React/Vue compatible)\n- Wrap all scripts in try/except with structured error output\n\n\n\n## Troubleshooting\n\n### \"Browser-harness could not be started\"\n\nInstall it: `uv tool install git+https://github.com/browser-use/browser-harness`\n\n### Double-typing in form fields\n\nThis was fixed by using `set_value()` (JavaScript-based) instead of `fill_input()` (CDP key events). If you see it, make sure you're on the latest build.\n\n### CLI returns \"No API key found\"\n\nPass `--api-key` or set `$QA_API_KEY`.\n\n---\n\n## License\n\nMIT\n","readmeFilename":"README.md"}