Install
$ agentstack add skill-ai-dashboad-flutter-skill-flutter-skill ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Flutter Skill
Control running Flutter applications for testing, debugging, and automation. Connects AI agents to Flutter apps via the Dart VM Service Protocol, exposing tools for UI inspection, gestures, state validation, screenshots, and log access.
Installation
Option 1: npx (Recommended)
{
"mcpServers": {
"flutter-skill": {
"command": "npx",
"args": ["flutter-skill"]
}
}
}
Option 2: Global Install
dart pub global activate flutter_skill
{
"mcpServers": {
"flutter-skill": {
"command": "flutter_skill",
"args": ["server"]
}
}
}
Key Tools
| Category | Tools | Purpose | |----------|-------|---------| | Connection | launch_app, connect_app | Start or attach to a Flutter app | | Inspection | inspect, get_widget_tree, find_by_type | Discover UI elements and widget structure | | Interaction | tap, enter_text, swipe, scroll_to, long_press, drag | Perform gestures and input | | Validation | wait_for_element, wait_for_gone, get_text_value, get_checkbox_state | Assert UI state | | Screenshots | screenshot, screenshot_element | Capture visual state | | Navigation | go_back, get_current_route, get_navigation_stack | Control and inspect navigation | | Debug | get_logs, get_errors, hot_reload, get_performance | Diagnose issues |
Workflow
Core Testing Loop
launch_app(project_path: "/path/to/app")
→ screenshot()
→ inspect()
→ tap(key: "element_key") / enter_text(key: "field_key", text: "value")
→ screenshot()
→ verify with wait_for_element / get_text_value
Example: Login Flow
launch_app(project_path: "/path/to/app")
screenshot()
inspect()
enter_text(key: "email_field", text: "user@example.com")
enter_text(key: "password_field", text: "password123")
tap(key: "login_button")
wait_for_element(key: "home_screen", timeout: 5000)
screenshot()
If wait_for_element times out: Call screenshot() to see the current state, then get_errors() to check for crashes or failed network requests.
Example: Debug a Running App
connect_app(uri: "ws://127.0.0.1:50000/ws")
get_errors()
get_logs()
screenshot()
inspect()
Validation Checkpoints
- After
launch_app(): Verify a VM Service URI was returned. If not, check that Flutter is installed and the app compiles. - After
inspect(): Confirm interactive elements are returned. If empty, the app may still be loading — callscreenshot()and retry. - After gestures (
tap,enter_text,swipe): Callscreenshot()to confirm the UI updated as expected. - After navigation: Use
wait_for_element(key: "target")with a timeout. On timeout, callget_errors()to diagnose.
Element Targeting Priority
key:(most reliable) — widget key set by the developer viaValueKeytext:— visible text content (breaks if text changes)type:— widget type viafind_by_type(may match multiple elements)
For reliable targeting, apps should use ValueKey on interactive elements:
ElevatedButton(
key: const ValueKey('submit_button'),
onPressed: _submit,
child: const Text('Submit'),
)
Links
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ai-dashboad
- Source: ai-dashboad/flutter-skill
- License: MIT
- Homepage: https://ai-dashboad.github.io/flutter-skill/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.