Borrowing it
Nothing to install: this file belongs to salmanashraf/mobile-ai-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/salmanashraf/mobile-ai-agents/main/AGENTS.mdgit clone --depth 1 https://github.com/salmanashraf/mobile-ai-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/salmanashraf/mobile-ai-agents/agents-md)<a href="https://agentmods.dev/instructions/salmanashraf/mobile-ai-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/salmanashraf/mobile-ai-agents/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/salmanashraf/mobile-ai-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/salmanashraf/mobile-ai-agents/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02918 | $0.02918 |
| Opus 5.5 | $0.01167 | $0.01167 |
| Sonnet 5.5 | $0.00584 | $0.00584 |
| Haiku 4.5 | $0.00292 | $0.00292 |
Grade A, and why
mobile-ai-agents 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Mobile AI Agents
This file is read automatically by Codex when the repo is opened. It tells Codex how to navigate, use, and contribute to this toolkit.
What This Repo Is
A curated toolkit of AI agents, skill prompts, and reusable workflows for Android, iOS, Flutter, React Native, Unity, and Unreal Engine developers.
Each agent is self-contained: it has a purpose, an input format, an output format, and a real worked example. Drop any agent into Codex as a system prompt and it works immediately.
Repo Map
mobile-ai-agents/
├── agents/ ← Self-contained AI agents (start here)
│ ├── android/
│ ├── ios/
│ ├── flutter/
│ ├── react-native/
│ ├── unity/
│ ├── unreal/
│ └── cross-platform/
├── skills/ ← Reusable skill modules (compose into agents)
├── prompts/ ← Standalone one-shot prompts
├── templates/ ← Scaffold for new agents / skills / prompts
├── examples/ ← Real code samples for agents to operate on
└── docs/ ← Extended guides
How to Use an Agent
Option A — Paste into Codex chat
- Open any
agents/<platform>/<name>/agent.md - Copy the System Prompt section
- Paste it at the start of your Codex session
- Follow the Input Format to send your code
Option B — Load via slash command (recommended)
If you have this repo cloned locally, add to your Codex config:
{
"mcpServers": {},
"customSlashCommands": [
{
"name": "android-review",
"description": "Android Kotlin code reviewer",
"prompt": "$(cat agents/android/code-reviewer/agent.md)"
},
{
"name": "crash-analyze",
"description": "Parse crash logs and suggest fixes",
"prompt": "$(cat agents/android/crash-analyzer/agent.md)"
}
]
}
Then type /android-review in any session to activate the agent.
Option C — Reference directly in Codex
With this repo open as your working directory, Codex can read agents on demand. Just say:
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.
- 6d ago Changed · +8 lines · +218 tokens per session 916c9083409e
- 10d ago Changed · +4 lines · +96 tokens per session 70a3b2d01a3d
- 19d ago Changed · +6 lines · +151 tokens per session b8cfb6db6ce8
- 23d ago Changed · +4 lines · +96 tokens per session 52e32f1aa55b
- 1mo ago Changed · +4 tokens per session e099448c696e
- 1mo ago First seen · 229 lines · 2,353 tokens per session scan A 799e73b6cc67
mobile-ai-agents AGENTS.md is an instructions file published in the GitHub repository salmanashraf/mobile-ai-agents (34 stars, last pushed 7d ago), licensed MIT. It adds 2,918 tokens to every session, about $0.0117 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.