agentmods.dev

android-use AGENTS.md

A project instruction file for AI coding agents, with Bun commands for formatting, linting, type checking, tests, and builds. It also describes a repeat-and-fix workflow for keeping changes valid.

In plain words
What is it for?
Use it when changing the android-use project: run the listed quality checks after small edits and repeat them if a check fails.
Why use it?
It gives an agent a consistent checklist for checking its work, reducing errors that would otherwise reach review or CI.

Instructions file for CodexOpenCode

18 6mo ago A scan 229 tokens original MIT
View the source file iurysza/android-use
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 instructions/iurysza/android-use/agents-md
Clone the repo
git clone --depth 1 https://github.com/iurysza/android-use

Made for: Codex, OpenCode.

Per session 229 This file is loaded in full into every session.
When invoked 229 The same file — it is already loaded in full.
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 $0.00229 $0.00229
Opus 5 $0.00114 $0.00114
Sonnet 5 $0.00046 $0.00046
Haiku 4.5 $0.00023 $0.00023

Measured 2d ago against content hash 364dbc8506c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

android-use AGENTS.md 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 2d ago.

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.

AGENTS.md · 28 lines

What it actually says

AGENTS.md

Quality tools (Bun)

  • Lint: bun run lint (Biome)
  • Format (write): bun run format (Biome)
  • Format check: bun run format:check (Biome)
  • Typecheck: bun run typecheck (tsc)
  • Tests: bun test
  • Build: bun run build

Agentic self-correct loop

  1. Make a small change.
  2. Run bun run format and re-check the diff.
  3. Run bun run lint.
  4. Run bun run typecheck.
  5. Run bun test.
  6. Run bun run build (if touching CLI/build code).
  7. If anything fails, fix it and repeat steps 2-6 until green.

One-liner check

bun run format && bun run lint && bun run typecheck && bun test

Notes

  • Formatting and linting are handled by Biome (biome.json).
  • Use bun run <script> to avoid name collisions with Bun built-ins.
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. 2d ago First seen · 28 lines · 229 tokens per session scan A 364dbc8506c9

Subscribe to this mod's changes

android-use AGENTS.md is an instructions file published in the GitHub repository iurysza/android-use (18 stars, last pushed 6mo ago), licensed MIT. It adds 229 tokens to every session, about $0.0011 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.

Data and AILLMMobileTestingagentic-aiagentsandroidskill
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