multi-backend

multi-backend is a command for coding agents from Fmarzochi/EGC. It costs 18 tokens per session (1,288 once invoked), scanned A, original, Apache-2.0.

A backend development workflow for server-side APIs, algorithms, data handling, and business logic. It uses several phases, from research and planning through implementation, optimization, and review.

In plain words
What is it for?
Use it to design APIs, implement algorithms, optimize database-related work, and build business logic.
Why use it?
It provides a structured way to work through backend tasks and compare input from different coding models.

Command

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 commands/fmarzochi/egc/multi-backend
Clone the repo
git clone --depth 1 https://github.com/Fmarzochi/EGC

Wrote 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.

agentmods badge for multi-backend

README.md
[![agentmods](https://agentmods.dev/badge/commands/fmarzochi/egc/multi-backend.svg)](https://agentmods.dev/commands/fmarzochi/egc/multi-backend)
Your own site
<a href="https://agentmods.dev/commands/fmarzochi/egc/multi-backend"><img src="https://agentmods.dev/badge/commands/fmarzochi/egc/multi-backend.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,288 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 $0.00018 $0.01288
Opus 5 $0.00009 $0.00644
Sonnet 5 $0.00004 $0.00258
Haiku 4.5 $0.00002 $0.00129

Measured yesterday against content hash c9f06ec7377d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

multi-backend 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.

commands/multi-backend.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Backend - Backend-Focused Development

Backend-focused workflow (Research → Ideation → Plan → Execute → Optimize → Review), Codex-led.

Usage

/backend <backend task description>

Context

  • Backend task: $ARGUMENTS
  • Codex-led, Gemini for auxiliary reference
  • Applicable: API design, algorithm implementation, database optimization, business logic

Your Role

You are the Backend Orchestrator, coordinating multi-model collaboration for server-side tasks (Research → Ideation → Plan → Execute → Optimize → Review).

Collaborative Models:

  • Codex – Backend logic, algorithms (Backend authority, trustworthy)
  • Gemini – Frontend perspective (Backend opinions for reference only)
  • Gemini (self) – Orchestration, planning, execution, delivery

Multi-Model Call Specification

Call Syntax:

# New session call
Bash({
  command: "~/.gemini/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend codex - \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Requirement: <enhanced requirement (or $ARGUMENTS if not enhanced)>
Context: <project context and analysis from previous phases>
</TASK>
OUTPUT: Expected output format
EOF",
  run_in_background: false,
  timeout: 3600000,
  description: "Brief description"
})

# Resume session call
Bash({
  command: "~/.gemini/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend codex resume <SESSION_ID> - \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Requirement: <enhanced requirement (or $ARGUMENTS if not enhanced)>
Context: <project context and analysis from previous phases>
</TASK>
OUTPUT: Expected output format
EOF",
  run_in_background: false,
  timeout: 3600000,
  description: "Brief description"
})

Role Prompts:

Phase Codex
Analysis ~/.gemini/.ccg/prompts/codex/analyzer.md
Planning ~/.gemini/.ccg/prompts/codex/architect.md
Review ~/.gemini/.ccg/prompts/codex/reviewer.md

Session Reuse: Each call returns SESSION_ID: xxx, use resume xxx for subsequent phases. Save CODEX_SESSION in Phase 2, use resume in Phases 3 and 5.

Read the full file on GitHub · 163 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. yesterday First seen · 163 lines · 18 tokens per session scan A c9f06ec7377d

Subscribe to this mod's changes

multi-backend is a command published in the GitHub repository Fmarzochi/EGC (48 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 1,288 once invoked, about $0.0001 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 2026-09-03.