
argent-test-ui-flow
Autonomously test an app UI (iOS or Android) by running interact-screenshot-verify loops using argent MCP tools. Use when testing UI flows, verifying login works, testing navigation, running UI test scenarios, manual QA steps, visible UI changes, or visual behavior.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/software-mansion/argent --skill argent-test-ui-flow- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads argent-test-ui-flow automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Platform-agnostic
Physical iPhone (kind: "device"): read argent-ios-device-interact first. launch-app before anything; describe fails while the app is backgrounded.
The interaction tool names are identical on iOS and Android (gesture-tap, gesture-swipe, describe, screenshot, launch-app, etc.) and the tool-server auto-dispatches based on the udid you pass (UUID-shape → iOS, adb serial → Android).
Before testing, resolve which device to test on. Call list-devices and follow <device_selection_rule>: prefer a running device on any platform;
Once a platform is chosen, the per-platform setup skill takes over:
| Platform | Setup skill | Find devices with |
|---|---|---|
| iOS | argent-ios-simulator-setup | list-devices → boot-device with udid if none booted |
| Android | argent-android-emulator-setup | list-devices → boot-device with avdName if none ready |
1. Workflow
All interactions go through argent MCP tools. Ensure the simulator/emulator is ready before starting.
For implementation tasks that modify visible UI, this workflow can also serve as a visual acceptance path.
- Baseline screenshot: Call
screenshotto see the current UI state. For visual regression comparison or UI change verification, capture the baseline atscale: 1.0withincludeImageInContext: falseand keep the returnedpathbefore editing whenever feasible. - Find target: Before tapping, use a discovery tool to get element coordinates:
- React Native apps: use
debugger-component-tree: it returns component names with (tap: x,y) coordinates. This is the preferred tool for RN apps on either platform. To use it, resolve theargent-react-native-app-workflowskill for setup; on Android you must also runadb -s <serial> reverse tcp:8081 tcp:8081so Metro is reachable from the device. - Standard app screens and in-app modals: use
describe. On iOS this returns the AX tree (falls back to native-devtools when AX is empty); on Android it returns the uiautomator tree in the same DescribeNode shape. - Permission prompts / system modal overlays: try
describefirst. Fall back toscreenshotonly if the overlay is not exposed reliably. When the app raises its own permission dialog, answer it here; that's the real flow under test. To take a prompt out of the flow (pre-grant/deny before launch, re-enable a permission the user already denied, or reset it so the dialog reappears), use theargent-settings-permissionsskill during setup instead of interacting with the dialog. - Fallback: use
screenshotto estimate where the desired component is, then verify immediately after the action.
- React Native apps: use
- Interact: Perform the action (
gesture-tap,gesture-swipe,keyboard,button, ...): you receive a screenshot automatically. - Verify: Check the returned screenshot for expected results. If it shows a loading/transitional state, prefer blocking until it settles with
await-ui-element(expected elementvisible, or a spinnerhidden) over a guessed delay, but only with a selector you can trust (text/identifier/role) that the screen is known to have or that you saw in a priordescribe; a guessed one just times out. Otherwise use a short fixed wait. Pick evidence by what's being asserted:- Visual (layout, spacing, color, typography, image/icon rendering, clipping, overflow, text rendering): prefer
screenshot-diffagainst the baseline captured in step 1: it surfaces pixel-visible changes the auto-screenshot might miss. Fall back to visual inspection of the auto-screenshot only when a stable baseline isn't available. - Structural (navigation state, element existence, accessibility labels/values, selection, hierarchy, route): verify with
describe,debugger-component-tree, ornative-describe-screen. - Runtime / log / network (console errors, API calls, persistence, timing): verify with
view-network-logs,debugger-log-registry,debugger-evaluate, or targeted tests. Notedebugger-log-registryreturns{ status: "not_connected", reason, guidance }with no log file when the debugger is unreachable; that is not evidence about the app; follow itsguidanceto reconnect, then re-verify. - Mixed: collect evidence for each relevant class.
- Report the combined verdict: expected behavior, observed behavior, evidence used, and any blocker for requested visual diffing.
- Visual (layout, spacing, color, typography, image/icon rendering, clipping, overflow, text rendering): prefer
- Repeat for each step in the flow.
2. Template
Goal: Test [feature name]
Steps:
1. Classify expected result: visual / structural / runtime-log-network / mixed → choose evidence
2. [Navigate / tap / type to reach stable comparable starting point] → verify auto-screenshot
3. screenshot { scale: 1.0, includeImageInContext: false } → save baseline path when visual or mixed evidence needs diffing
4. [Perform the action to test] → verify auto-screenshot
5. Use screenshot-diff when requested or when comparable images add useful visual evidence
6. Report: pass / fail with combined visual, structural, runtime/log/network evidence as applicable
3. Examples
Login flow
1. screenshot → see login screen
2. gesture-tap { x: 0.5, y: 0.4 } → tap email field
3. keyboard { text: "user@example.com" }
4. gesture-tap { x: 0.5, y: 0.55 } → tap password field
5. keyboard { text: "{{secret:APP_PASSWORD}}" }
6. gesture-tap { x: 0.5, y: 0.7 } → tap Login button
7. screenshot → verify home screen appeared
Credentials: never type plaintext credentials; use a
{{secret:<NAME>}}placeholder inkeyboard, resolved server-side so the value never enters agent context. It comes from theARGENT_SECRET_<NAME>environment variable or an argent secrets file (.argent/secrets.envin the project,~/.argent/secrets.env, or anARGENT_SECRET_-prefixed key in the project's.env/.env.local). If the name is not defined, the failure lists the available names and every path it checked; ask the user to add it to one of those files (which applies immediately) instead of pasting the secret into the conversation. Never invent credentials or echo secret values into reports or saved files.
Scroll and navigation
1. screenshot → see list at top
2. gesture-swipe { fromY: 0.7, toY: 0.3 } → scroll down
3. gesture-tap item at visible position → verify auto-screenshot
4. screenshot → verify detail view opened
5. button { button: "back" }
6. screenshot → verify returned to list
Visual behavior check
1. Classify expected result as visual or mixed.
2. Navigate to the stable starting state.
3. screenshot { scale: 1.0, includeImageInContext: false } → save baseline path.
4. describe / debugger-component-tree → find the control and use its returned tap coordinates.
5. gesture-tap → perform the visual behavior under test.
6. screenshot-diff { baselinePath, captureCurrent: true, udid, outputDir } → inspect visible change or stability.
7. describe / debugger-component-tree → verify selected state, label, route, or attributes if relevant.
8. Report combined verdict from expected behavior, visual inspection, diff summary, and structural evidence.
Wait for a loading spinner
1. gesture-tap { x: 0.5, y: 0.7 } → trigger an action that fetches data
2. screenshot → loading spinner is showing
3. await-ui-element { condition: hidden, selector: { text: "Loading" } } → block until the fetch finishes and the spinner disappears; its result carries the screenshot and element tree, so verify the fetched content rendered from it
4. Recovery Pattern
- If a screen is mid-transition or loading: block until it settles with
await-ui-element(wait for the target element to bevisible, or the spinner/placeholder to behidden) instead of a blind fixed delay, then re-check. Fall back to a fixed wait +screenshotonly when no element reliably marks the transition. - If tap misses target: re-run discovery tool (
describe/debugger-component-tree), retry once with new coordinates. - If a permission dialog or modal is visible: re-run
describefirst. Stay in screenshot-driven navigation only when the overlay is not exposed reliably, then switch back todescribe/debugger-component-treeas soon as it is dismissed. - If tap fails twice at same coordinates: stop, re-discover, report if element not found.
- If a saved e2e test fails during
e2e-executereplay (as opposed to live test steps above): followargent-create-e2e's Diagnose a replay failure: classify the failure, inspect the actual screen, repair the smallest justified unit, then replay the full e2e test.
Tips
- Wait on the UI, don't poll. When a step needs the screen to change first, gate it with
await-ui-element(block until an element isvisible/hiddenor containstext) rather than repeatedscreenshotcalls with fixed sleeps. See theawait-ui-elementsection ofargent-device-interact. - Use
gesture-customfor long-press context menus (800ms hold). - Report clearly: state what you expected, what you saw, and the verdict.
- Permission modals: try
describefirst. Usescreenshotonly as fallback, tap one visible button at a time, and verify with the returned screenshot before continuing. - Record for replay: If a tested flow is likely to be repeated, use the
argent-create-e2eskill to record it as a.yamlscript. This lets you replay the entire sequence later with a singlee2e-executecall instead of re-running each step manually.
Related Skills
| Skill | When to use |
|---|---|
argent-device-interact | Tool usage for tapping, swiping, typing (iOS + Android) |
argent-screenshot-diff | Visual regression and before/after screenshot comparison |
argent-ios-simulator-setup | Booting and connecting an iOS simulator |
argent-android-emulator-setup | Booting and connecting an Android emulator |
argent-react-native-app-workflow | Starting the app, Metro, build issues |
argent-metro-debugger | Console logs, JS evaluation, component inspection |
argent-create-e2e | Record a test sequence as a replayable e2e test |
FAQ
What does the argent-test-ui-flow skill do?
Autonomously test an app UI (iOS or Android) by running interact-screenshot-verify loops using argent MCP tools. Use when testing UI flows, verifying login works, testing navigation, running UI test scenarios, manual QA steps, visible UI changes, or visual behavior.
How do I install argent-test-ui-flow?
Run npx skills add https://github.com/software-mansion/argent --skill argent-test-ui-flow in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/argent-test-ui-flow/ (personal) or .claude/skills/argent-test-ui-flow/ (project).
Which AI agents can use argent-test-ui-flow?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is argent-test-ui-flow safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains argent-test-ui-flow?
It is published by software-mansion in software-mansion/argent. It has 26,664 recorded installs.
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