dogfood

A guided way to explore and test an iOS or Android app while it is running. It looks for bugs, confusing user experiences, and other problems, then records evidence.

In plain words
What is it for?
Use it for exploratory quality checks, bug hunts, and testing user flows in a mobile app.
Why use it?
It helps find problems that may not appear in source code or scripted tests. You get findings based on how the app actually behaves on a device.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/callstack/agent-device/dogfood
Any agent
npx skills add callstack/agent-device --skill dogfood
Clone the repo
git clone --depth 1 https://github.com/callstack/agent-device

Made for: Claude Code, Codex.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 306 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00055 $0.00306
Opus 5 $0.00028 $0.00153
Sonnet 5 $0.00011 $0.00061
Haiku 4.5 $0.00006 $0.00031

Measured yesterday against content hash e7f1793c8d48, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dogfood scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/dogfood/SKILL.md · 28 lines

What it actually says

Dogfood

Router for exploratory QA. Private setup before using this skill:

agent-device --version

If that fails, stop and tell the user to expose a trusted agent-device binary on PATH or approve an exact-version npm command. This skill intentionally keeps allowed tools restricted to agent-device and npx agent-device.

Require agent-device >= 0.14.0; older CLIs lack these help topics. If older, stop and tell the user to upgrade the trusted install or approve an exact-version npm command. Do not run npm install -g agent-device@latest or npx -y agent-device@latest autonomously, and do not include version/upgrade commands in final plans.

Read current CLI guidance:

agent-device help dogfood

Loop: open app -> snapshot -i + screenshot -> explore flows -> capture evidence per issue -> close.

Target app is required; infer platform or ask. Findings must come from runtime behavior, not source reads. Let help dogfood provide exact report shape, evidence commands, and current workflow guidance.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 28 lines · 55 tokens per session scan A e7f1793c8d48

Subscribe to this mod's changes

dogfood is a skill published in the GitHub repository callstack/agent-device (4,300 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 306 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.