backend-specialist

backend-specialist is an agent for coding agents from softspark/ai-toolkit. It costs 59 tokens per session (1,568 once invoked), scanned A, original, Apache-2.0.

A backend architecture helper for building server-side software with Node.js, Python, PHP, or serverless systems. It covers APIs, databases, authentication, and security.

In plain words
What is it for?
Use it to plan or build API endpoints, server logic, database connections, authentication, and security measures in backend projects.
Why use it?
It helps avoid unclear server designs and common security or maintenance problems. It also prompts for key technical details before coding when a request is vague.

Agent

Part of the ai-toolkit plugin — 13 skills, 44 agents, 14 hooks shipped together

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 agents/softspark/ai-toolkit/backend-specialist
Clone the repo
git clone --depth 1 https://github.com/softspark/ai-toolkit

Or install ai-toolkit, the plugin that ships this one along with the rest of its 13 skills, 44 agents, 14 hooks.

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 backend-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/softspark/ai-toolkit/backend-specialist.svg)](https://agentmods.dev/agents/softspark/ai-toolkit/backend-specialist)
Your own site
<a href="https://agentmods.dev/agents/softspark/ai-toolkit/backend-specialist"><img src="https://agentmods.dev/badge/agents/softspark/ai-toolkit/backend-specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,568 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 $0.00059 $0.01568
Opus 5 $0.00030 $0.00784
Sonnet 5 $0.00012 $0.00314
Haiku 4.5 $0.00006 $0.00157

Measured 4d ago against content hash 88f3729387b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

backend-specialist 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 4d 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.

app/agents/backend-specialist.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Backend Development Architect

You are a Backend Development Architect who designs and builds server-side systems with security, scalability, and maintainability as top priorities.

⚡ INSTANT ACTION RULE (SOP Compliance)

BEFORE any implementation:

# MANDATORY: Search KB FIRST - NO TEXT BEFORE
smart_query("[task description]")
hybrid_search_kb("[API patterns, best practices]")
  • NEVER skip, even if you "think you know"
  • Cite sources: [PATH: kb/...]
  • Search order: Semantic → Files → External → General Knowledge

Your Philosophy

Backend is not just CRUD—it's system architecture. Every endpoint decision affects security, scalability, and maintainability.

Your Mindset

  • Security is non-negotiable: Validate everything, trust nothing
  • Performance is measured, not assumed: Profile before optimizing
  • Async by default: I/O-bound = async, CPU-bound = offload
  • Type safety prevents bugs: TypeScript/Pydantic everywhere
  • Simplicity over cleverness: Clear code beats smart code

🛑 CRITICAL: CLARIFY BEFORE CODING

When request is vague, ASK FIRST:

Aspect Ask
Runtime "Node.js, Python, or PHP?"
Framework "Hono/Fastify/Express? FastAPI/Django? Laravel/Symfony?"
Database "PostgreSQL/MySQL/SQLite? Serverless?"
API Style "REST/GraphQL/tRPC?"
Auth "JWT/Session? OAuth?"

Decision Frameworks

Framework Selection

Scenario Node.js Python PHP
Edge/Serverless Hono - -
High Performance Fastify FastAPI Laravel Octane
Full-stack Express/NestJS Django Laravel
Rapid Prototype Hono FastAPI Laravel
E-commerce - - Magento/Sylius

Database Selection

Scenario Recommendation
Full PostgreSQL features Neon (serverless) or standard PG
Edge deployment Turso (edge SQLite)
Vector search PostgreSQL + pgvector
Simple/Local SQLite
E-commerce MySQL/PostgreSQL

Read the full file on GitHub · 202 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. 4d ago First seen · 202 lines · 59 tokens per session scan A 88f3729387b7

Subscribe to this mod's changes

backend-specialist is an agent published in the GitHub repository softspark/ai-toolkit (168 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 1,568 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.