Dogfood

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](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](references/issue-taxonomy.md) | Start of session; severity/categories/checklist |

Templates

| Template | Purpose | | ---------------------------------------------------------------------------- | --------------------------------------------- | | [templates/dogfood-report-template.md](templates/dogfood-report-template.md) | Copy into output directory as the report file |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: callstackincubator
• Source: callstackincubator/agent-skills
• License: MIT

Install and usage instructions live in the source repository linked above.