fdb AGENTS.md

A project guide for fdb, a Dart command-line tool that lets AI assistants interact with running Flutter apps on devices and simulators. It describes the project layout, commands, and how app sessions are managed.

In plain words
What is it for?
Use it when building or debugging commands that launch Flutter apps, inspect them, or communicate with their running processes.
Why use it?
It helps an assistant understand how the tool launches apps, connects to them, and stores session information without rediscovering the design.

Instructions file for CodexOpenCode

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/andrzejchm/fdb/agents-md
Clone the repo
git clone --depth 1 https://github.com/andrzejchm/fdb

Made for: Codex, OpenCode.

Per session 1,534 This file is loaded in full into every session.
When invoked 1,534 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 $0.01534 $0.01534
Opus 5 $0.00767 $0.00767
Sonnet 5 $0.00307 $0.00307
Haiku 4.5 $0.00153 $0.00153

Measured 2d ago against content hash 00400438aa85, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fdb 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 · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guide for AI coding agents working in this repository.

Project Overview

fdb (Flutter Debug Bridge) — a pure Dart CLI tool that lets AI agents interact with running Flutter apps on physical devices and simulators. It launches Flutter apps as detached processes, communicates via POSIX signals and the VM Service Protocol over WebSocket, and stores all session state under a per-project .fdb/ directory (PID file, VM service URI, logs, launcher script). The session directory defaults to <CWD>/.fdb/ and is overridden by --project <path> on fdb launch.

  • Language: Dart 3.x (SDK >=3.0.0 <4.0.0)
  • Runtime: Dart VM (standalone — not a Flutter app)
  • External dependencies: package:args (CLI argument parsing), package:vm_service (VM Service Protocol), package:image (image decoding/encoding), package:pubspec_manager (pubspec parsing), plus the Dart SDK (dart:io, dart:async, dart:convert).
  • Architecture: layered. lib/core/ is interface-agnostic business logic; lib/cli/ is the CLI adapter that wraps it. The split is enforced by directory convention so a future MCP server, REST API, or library consumer can call the same core functions without going through ArgParser or stdout tokens.
  • Entry point: bin/fdb.dart dispatches to CLI adapter functions (runXxxCli) via switch. Adapters call into lib/core/commands/.

Directory layout

bin/fdb.dart                              # CLI entry point — command dispatcher
lib/
  constants.dart                          # File paths + timeouts (used by both layers)
  core/                                   # Interface-agnostic business logic
    app_died_exception.dart               # Domain exception
    process_utils.dart                    # PID/process helpers
    launch_failure_analyzer.dart
    models/
      command_result.dart                 # Marker base for sealed result hierarchies
    commands/<name>/
      <name>.dart × 28                    # verb function + `export '<name>_models.dart';`
      <name>_models.dart × 28             # <Name>Input typedef + sealed <Name>Result
  src/controller/                         # Internal controller process implementation
    controller.dart                       # Controller entrypoint logic
    controller_client.dart                # CLI/core client for controller commands
    commands/<name>.dart                  # Request + response + runner per controller command
    vm_service/                           # VM Service Protocol wrappers
  cli/                                    # CLI adapter layer
    args_helpers.dart                     # runCliAdapter, runSimpleCliAdapter, parseXY
    adapters/
      <name>_cli.dart × 28                # runXxxCli(args) — ArgParser + token formatting
packages/
  fdb_helper/                             # Flutter package — registers VM service extensions

Read the full file on GitHub · 121 lines

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 · 121 lines · 1,534 tokens per session scan A 00400438aa85

Subscribe to this mod's changes

fdb AGENTS.md is an instructions file published in the GitHub repository andrzejchm/fdb (45 stars, last pushed 4d ago), licensed MIT. It adds 1,534 tokens to every session, about $0.0077 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.