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/dogfood

@23643af official

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", or "test this app" on mobile. Produces a structured report with reproducible evidence: screenshots, optional repro videos, and detailed steps for every issue.

Use this Skill: https://skilld.dev/gh/callstackincubator/agent-skills/dogfood

This session only. Nothing lands on disk.

SKILL.md

≈93 tokens always: the name and description. ≈1.6k when used: this file. ≈1.2k more on demand in 2 files.

Dogfood (agent-device)

Systematically explore a mobile app, find issues, and produce a report with full reproduction evidence for every finding.

Setup

Only the Target app is required. Everything else has sensible defaults.

Parameter Default Example override
Target app (required) Settings, com.example.app, deep link URL
Platform Infer from user context; otherwise ask (ios or android) --platform ios
Session name Slugified app/platform (for example settings-ios) --session my-session
Output directory ./dogfood-output/ Output directory: /tmp/mobile-qa
Scope Full app Focus on onboarding and profile
Authentication None Sign in to user@example.com

If the user gives enough context to start, begin immediately with defaults. Ask follow-up only when a required detail is missing (for example platform or credentials).

Prefer direct agent-device binary when available.

Workflow

1. Initialize    Set up session, output dirs, report file
2. Launch/Auth   Open app and sign in if needed
3. Orient        Capture initial snapshot and map navigation
4. Explore       Systematically test flows and states
5. Document      Record reproducible evidence per issue
6. Wrap up       Reconcile summary, close session

1. Initialize

mkdir -p {OUTPUT_DIR}/screenshots {OUTPUT_DIR}/videos
cp {SKILL_DIR}/templates/dogfood-report-template.md {OUTPUT_DIR}/report.md

2. Launch/Auth

Start a named session and launch target app:

agent-device --session {SESSION} open {TARGET_APP} --platform {PLATFORM}
agent-device --session {SESSION} snapshot -i

If login is required:

agent-device --session {SESSION} snapshot -i
agent-device --session {SESSION} fill @e1 "{EMAIL}"
agent-device --session {SESSION} fill @e2 "{PASSWORD}"
agent-device --session {SESSION} press @e3
agent-device --session {SESSION} wait 1000
agent-device --session {SESSION} snapshot -i

For OTP/email codes: ask the user, wait for input, then continue.

3. Orient

Capture initial evidence and navigation anchors:

agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/initial.png
agent-device --session {SESSION} snapshot -i

Map top-level navigation, tabs, and key workflows before deep testing.

4. Explore

Read references/issue-taxonomy.md for severity/category calibration.

Strategy:

  • Move through each major app area (tabs, drawers, settings pages).
  • Test core journeys end-to-end (create, edit, delete, submit, recover).
  • Validate edge states (empty/error/loading/offline/permissions denied).
  • Use diff snapshot -i after UI transitions to avoid stale refs.
  • Periodically capture logs path and inspect the app log when behavior looks suspicious.

Useful commands per screen:

agent-device --session {SESSION} snapshot -i
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/{screen-name}.png
agent-device --session {SESSION} appstate
agent-device --session {SESSION} logs path

5. Document Issues (Repro-First)

Explore and document in one pass. When you find an issue, stop and fully capture evidence before continuing.

Interactive/behavioral issues

Use video + step screenshots:

  1. Start recording:
agent-device --session {SESSION} record start {OUTPUT_DIR}/videos/issue-{NNN}-repro.mp4
  1. Reproduce with visible pacing. Capture each step:
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-step-1.png
sleep 1
# perform action
sleep 1
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-step-2.png
  1. Capture final broken state:
sleep 2
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-result.png
  1. Stop recording:
agent-device --session {SESSION} record stop
  1. Append issue immediately to report with numbered steps and screenshot references.
Static/on-load issues

Single screenshot is sufficient; no video required:

agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}.png

Set Repro Video to N/A in the report.

6. Wrap Up

Target 5-10 well-evidenced issues, then finish:

  1. Reconcile summary severity counts in report.md.
  2. Close session:
agent-device --session {SESSION} close
  1. Report total issues, severity breakdown, and highest-risk findings.

Guidance

  • Repro quality matters more than issue count.
  • Use refs (@eN) for fast exploration, selectors for deterministic replay assertions when needed.
  • Re-snapshot after any mutation (navigation, modal, list update, form submit).
  • Use fill for clear-then-type semantics; use type for incremental typing behavior checks.
  • Keep logs optional and targeted: enable/read app logs only when useful for diagnosis.
  • Never read source code of the app under test; findings must come from observed runtime behavior.
  • Write each issue immediately to avoid losing evidence.
  • Never delete screenshots/videos/report artifacts during a session.

References

Reference When to Read
references/issue-taxonomy.md Start of session; severity/categories/checklist

Templates

Template Purpose
templates/dogfood-report-template.md Copy into output directory as the report file

Source: SKILL.md on GitHub

1 warning16d3 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    This skill is a utility for automated mobile application testing (dogfooding). It uses the 'agent-device' tool to interact with iOS and Android devices, capture screenshots/videos, and generate structured reports. It handles user-provided credentials to facilitate app authentication during testing.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: MEDIUM · 1 issue

Signed by skilld at 23643af. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

Activeupdated 6 months ago
What it can do
Runs commands
All 2 allowed tools
Bash(agent-device:*)Bash(npx agent-device:*)
  • Testing
  • mobile
  • ios
  • android
  • qa
  • bug-hunting
  • agent-device
  • exploratory-testing

README badge

README badge for callstackincubator/agent-skills/dogfood

Systematically explores a mobile app on iOS or Android using agent-device, documents bugs and UX issues with screenshots and optional videos, and produces a structured report with reproducible steps for each finding. Use this skill when asked to QA, dogfood, or exploratory test a mobile app.

Generated from the current SKILL.md.

What platforms does this skill support?
iOS and Android. The skill infers platform from user context or asks if ambiguous.
Do I need to provide credentials to test a protected app?
Only if required by the app. Authentication is optional; pass credentials as a parameter if login is needed.
What does the skill output?
A structured report with screenshots, optional repro videos, and step-by-step instructions for each issue found. Issues are categorized by severity and stored in a timestamped output directory.
Does this skill require agent-device to be installed?
Yes. The skill uses the agent-device binary or npx agent-device to control and inspect the mobile app.
How many issues should I expect to find?
The skill targets 5-10 well-evidenced issues per session, prioritizing repro quality over issue count.

Generated from the current SKILL.md. These answers refresh after source changes.