feature-backend

feature-backend is an agent for Claude Code from VoxTechnologies/transmute-framework. It costs 233 tokens per session (2,398 once invoked), scanned A, original, MIT.

A teammate that builds the server-side part of one assigned feature, including database structures, backend functions, application programming interfaces (APIs), and other server logic.

In plain words
What is it for?
Use it to implement a feature’s database schema, backend operations, API endpoints, and server-side behavior.
Why use it?
It gives each feature focused backend ownership and follows the project’s existing code and language rules.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; mentions CLAUDE.md.

Part of the transmuter plugin — 23 skills, 1 command, 7 agents, 2 hooks shipped together

Good fit Use it to implement a feature’s database schema, backend operations, API endpoints, and server-side behavior.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/voxtechnologies/transmute-framework/feature-backend
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.

Clone the repo
git clone --depth 1 https://github.com/VoxTechnologies/transmute-framework

Made for: Claude Code.

Or install transmuter, the plugin that ships this one along with the rest of its 23 skills, 1 command, 7 agents, 2 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 feature-backend

README.md
[![agentmods](https://agentmods.dev/badge/agents/voxtechnologies/transmute-framework/feature-backend/github.svg)](https://agentmods.dev/agents/voxtechnologies/transmute-framework/feature-backend)
Your own site
<a href="https://agentmods.dev/agents/voxtechnologies/transmute-framework/feature-backend"><img src="https://agentmods.dev/badge/agents/voxtechnologies/transmute-framework/feature-backend/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.

agentmods 80×15 button for feature-backend

Your own site · 80×15
<a href="https://agentmods.dev/agents/voxtechnologies/transmute-framework/feature-backend"><img src="https://agentmods.dev/badge/agents/voxtechnologies/transmute-framework/feature-backend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 233 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,398 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00233 $0.02398
Opus 5.5 $0.00093 $0.00959
Sonnet 5.5 $0.00047 $0.00480
Haiku 4.5 $0.00023 $0.00240

Measured 19d ago against content hash 271ff78c537f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature-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 19d 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/feature-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.

You are a Backend Implementation Teammate — responsible for building the backend components of a specific feature as part of the Transmute pipeline Stage 5.

Role

You implement backend functions, database schemas, API endpoints, and server-side logic for the feature assigned to you by the Feature Orchestrator (team lead).

Crash Recovery

If you are a re-spawned teammate resuming after a crash, first scan the schema file for any tables/fields you were assigned to add. If they already exist from a prior partial run, skip the schema step and proceed to function implementation. Do not re-create existing tables — this causes deployment errors.

Session Language

Check plancasting/tech-stack.md for the Session Language setting. Write user-facing strings (UI labels, toast messages, error messages) in that language. Code and comments remain in English.

Before Writing Any Code

  1. Read CLAUDE.md — Follow all Part 1 immutable rules and Part 2 project-specific rules.
  2. Read plancasting/_codegen-context.md — Understand naming conventions, file mappings, and code generation patterns established by the scaffold. If missing, WARN: "Scaffold context not found. Proceed with manual directory scanning."
  3. Read the feature brief — Your spawn prompt includes or references a plancasting/_briefs/FEAT-XXX.md file with the feature specification.
  4. Read PRD sections — Check plancasting/prd/04-epics-and-user-stories.md for acceptance criteria, plancasting/prd/12-api-specifications.md for API specs, plancasting/prd/11-data-model.md for schema.
  5. Read BRD sections — Check plancasting/brd/07-functional-requirements.md and plancasting/brd/14-business-rules-and-logic.md for business rules. Check plancasting/brd/13-security-requirements.md for security rules and plancasting/brd/12-regulatory-and-compliance-requirements.md for compliance rules the backend must enforce.
  6. Check scaffold files — Read plancasting/_scaffold-manifest.md. EXTEND existing scaffold files. never create duplicates.
  7. Check plancasting/tech-stack.md — Adapt to the project's actual tech stack.

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. 19d ago Changed · +3 lines 271ff78c537f
  2. 1mo ago First seen · 160 lines · 233 tokens per session scan A e92d820cc6a8

Subscribe to this mod's changes

feature-backend is an agent published in the GitHub repository VoxTechnologies/transmute-framework (5 stars, last pushed 8d ago), licensed MIT. It adds 233 tokens to every session and 2,398 once invoked, about $0.0009 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 2026-08-31.

Related

Other agents, from other repositories

backend-generator

Backend coding agent. Implements backend sprints from the product spec, one feature at a time. Focuses on API correctness, data integrity, test coverage, and robust error handling. Use for backend implementation sprints.

superduke/ganvil · 46 tokens

backend-evaluator

Backend QA evaluator. Reviews backend sprint output against acceptance criteria using four dimensions: API correctness, data integrity, code quality, and functional completeness. Runs tests and exercises APIs directly. Use after a backend generator sprint completes.

superduke/ganvil · 47 tokens

backend-dev

Implements backend services using Node.js and TypeScript with strict CMDO architecture, immutability, and dependency injection.

LiorCohen/sdd · 27 tokens

api-designer

Designs API contracts using OpenAPI in the contract component. Generates types consumed by server and webapp.

LiorCohen/sdd · 25 tokens

webapi-integration

Use this agent when the user needs to integrate Power Pages Web API for a specific Dataverse table into their frontend code. Trigger examples: "integrate web api for products table", "add api calls for orders", "connect my site to the blog posts table", "implement crud for categories", "set up web api client", "create…

microsoft/power-platform-skills · 182 tokens

do-setup-assistant

Autonomous Durable Objects project scaffolder. Analyzes user requirements and automatically sets up complete DO project with proper configuration, code, and tests.

secondsky/claude-skills · 35 tokens