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Dogfood

  • 8 installs
  • 1.6k repo stars
  • Updated July 25, 2026
  • callstackincubator/agent-skills

dogfood is a Claude skill that uses the agent-device CLI to systematically explore and test a mobile app on iOS or Android and produce a structured report with reproducible evidence.

About

This skill drives the agent-device CLI to systematically explore a mobile app on iOS or Android and produce a structured report. It initializes a session, launches and optionally authenticates, orients on navigation, explores flows and edge states, and documents each issue with screenshots and optional repro videos. A developer uses it to run repeatable exploratory QA and get reproduction steps for every finding.

  • Systematically explores a mobile app on iOS/Android and produces a structured report with reproducible evidence
  • Six-step workflow: initialize, launch/auth, orient, explore, document issues, wrap up
  • Captures repro videos and step screenshots per issue; targets 5-10 well-evidenced findings

Dogfood by the numbers

  • 8 all-time installs (skills.sh)
  • Ranked #1,571 of 2,153 Testing & QA skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

dogfood capabilities & compatibility

Free; requires the agent-device CLI and a target app or simulator.

Capabilities
exploratory testing · mobile testing · bug reporting · device automation
Use cases
testing · debugging
Pricing
Free
From the docs

What dogfood says it does

Systematically explore a mobile app, find issues, and produce a report with full reproduction evidence for every finding.
SKILL.md
Target 5-10 well-evidenced issues, then finish:
SKILL.md
Repro quality matters more than issue count.
SKILL.md
npx skills add https://github.com/callstackincubator/agent-skills --skill dogfood

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Listed on Skillselion
Installs8
repo stars1.6k
Last updatedJuly 25, 2026
Repositorycallstackincubator/agent-skills

What it does

Run structured exploratory QA on a mobile app and produce a report with repro steps, screenshots, and videos per issue.

Who is it for?

Repeatable exploratory QA of an iOS or Android app that must produce a report with reproduction evidence.

Skip if: Reviewing app source, since guidance says never read source code of the app under test.

When should I use this skill?

When asked to dogfood, QA, exploratory test, find issues, bug hunt, or test an app on mobile.

What you get

A structured report of 5-10 well-evidenced issues, each with numbered repro steps, screenshots, and optional repro videos.

  • report.md with severity counts
  • issue screenshots
  • optional repro videos

By the numbers

  • 6-step workflow
  • target 5-10 well-evidenced issues

Files

SKILL.mdMarkdownGitHub ↗

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.

ParameterDefaultExample override
Target app_(required)_Settings, com.example.app, deep link URL
PlatformInfer from user context; otherwise ask (ios or android)--platform ios
Session nameSlugified app/platform (for example settings-ios)--session my-session
Output directory./dogfood-output/Output directory: /tmp/mobile-qa
ScopeFull appFocus on onboarding and profile
AuthenticationNoneSign 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

2. 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

3. Capture final broken state:

sleep 2
agent-device --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-result.png

4. Stop recording:

agent-device --session {SESSION} record stop

5. 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

3. 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

ReferenceWhen to Read
references/issue-taxonomy.mdStart of session; severity/categories/checklist

Templates

TemplatePurpose
templates/dogfood-report-template.mdCopy into output directory as the report file

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