feature-builder

feature-builder is an agent for Claude Code from seungmanchoi/react-native-fsd-agent-template. It costs 82 tokens per session (1,097 once invoked), scanned A, original, no licence file.

A feature-module builder for projects using Feature-Sliced Design, an architecture that separates code into layers such as features, entities, and widgets. It creates the module structure and applies the project’s naming and dependency rules.

In plain words
What is it for?
Use it to create feature, entity, or widget modules, including their exports, types, and layer structure.
Why use it?
It reduces repetitive setup and helps new modules follow the same architecture as the rest of the project.

Agent for Claude Code

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/seungmanchoi/react-native-fsd-agent-template/feature-builder
Clone the repo
git clone --depth 1 https://github.com/seungmanchoi/react-native-fsd-agent-template

Made for: Claude Code.

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-builder

README.md
[![agentmods](https://agentmods.dev/badge/agents/seungmanchoi/react-native-fsd-agent-template/feature-builder.svg)](https://agentmods.dev/agents/seungmanchoi/react-native-fsd-agent-template/feature-builder)
Your own site
<a href="https://agentmods.dev/agents/seungmanchoi/react-native-fsd-agent-template/feature-builder"><img src="https://agentmods.dev/badge/agents/seungmanchoi/react-native-fsd-agent-template/feature-builder.svg" alt="Measured on agentmods" height="20"></a>
Per session 82 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,097 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00082 $0.01097
Opus 5 $0.00041 $0.00549
Sonnet 5 $0.00016 $0.00219
Haiku 4.5 $0.00008 $0.00110

Measured 4d ago against content hash 3a1c659ecb8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feature-builder 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.

.claude/agents/feature-builder.md · 90 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 90 lines · 82 tokens per session scan A 3a1c659ecb8e

Subscribe to this mod's changes

feature-builder is an agent published in the GitHub repository seungmanchoi/react-native-fsd-agent-template (50 stars, last pushed 1mo ago), with no licence file. It adds 82 tokens to every session and 1,097 once invoked, about $0.0004 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.

Related

Other agents, from other repositories

check

Code quality auditor for the Trellis channel runtime. Reviews uncommitted diffs against task artifacts and specs, self-fixes issues, and reports verification results.

mindfold-ai/Trellis · 34 tokens

pixel-art-animation-reviewer

Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…

AnastasiyaW/codex-claude-code-config · 140 tokens

p3-uarch-team-orchestrator

Phase 3 uArch design team coordination teammate. Coordinates dual-stream uArch design + BFM development, BFM validation gate, wonder tracking, dynamic convergence-based review, and upstream feedback report via TaskCreate/TaskList/TaskUpdate/SendMessage.

babyworm/rtl-agent-team · 60 tokens

cdc-reviewer

CDC design strategy reviewer. Evaluates synchronization architecture quality, FIFO depth calculations, metastability budgets, and reset synchronization. Produces review reports in reviews/.

babyworm/rtl-agent-team · 34 tokens

func-verifier

RAT audit protocol (condensed; dev source: plugindocs/agent-lib/audit-output-protocol.md — plugin-internal, do NOT Read it at runtime).

babyworm/rtl-agent-team · 43 tokens

p5s-func-verify-orchestrator

Tier 3 functional verification orchestrator. Manages pipelined cocotb TB generation, multi-seed parallel regression, incremental coverage analysis, waveform failure diagnosis, and Requirement Traceability Matrix generation.

babyworm/rtl-agent-team · 51 tokens