dogfood: Design & UI for AI Agents | OpenAgentSkill

Overview

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.

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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:

Start recording:

agent-device --session {SESSION} record start {OUTPUT_DIR}/videos/issue-{NNN}-repro.mp4

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

Capture final broken state:

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

Stop recording:

agent-device --session {SESSION} record stop

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:

Reconcile summary severity counts in report.md.
Close session:

agent-device --session {SESSION} close

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

View source ↗

File metadata

name: dogfood
description: '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.'
allowed-tools: Bash(agent-device:*), Bash(npx agent-device:*)

View original text

---
name: dogfood
description: '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.'
allowed-tools: Bash(agent-device:*), Bash(npx agent-device:*)
---

# 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

```bash
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:

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

If login is required:

```bash
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:

```bash
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:

```bash
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:

```bash
agent-device --session {SESSION} record start {OUTPUT_DIR}/videos/issue-{NNN}-repro.mp4
```

2. Reproduce with visible pacing. Capture each step:

```bash
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:

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

4. Stop recording:

```bash
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:

```bash
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:

```bash
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

| 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 |

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Permission surface: secrets or environment access, shell or command execution

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & trust

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Aug 8, 2026
Registry updated: Sep 2, 2026
Instruction path: plugins/vendored/.agents/skills/dogfood/SKILL.md @ 2766baa46ca0

Version reported in registry metadata; check source releases before relying on it.

Quality

76/100

Strong

Trust

71/100

Sandbox only

Audit

81/100

Needs review

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
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    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution",
    "Permission surface: secrets or environment access, shell or command execution"
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    ],
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      "install_command": "npx skills add callstackincubator/agent-skills --skill dogfood",
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      "task": "Use dogfood in an agent workflow",
      "agent": "codex",
      "outcome": "success",
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    "audit": "https://www.openagentskill.com/skills/callstackincubator-dogfood/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=callstackincubator-dogfood&task=Use%20dogfood%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20dogfood%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20dogfood%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/callstackincubator-dogfood/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/callstackincubator-dogfood"
  }
}

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Creator: callstackincubator
Source: callstackincubator/agent-skills
Indexed by: OpenAgentSkill community index

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