feature-arch

feature-arch is a skill for Claude Code, Codex from pproenca/dot-skills. It costs 108 tokens per session (1,844 once invoked), scanned A, original, MIT.

A guide for organizing React applications by user-facing features instead of by file type alone. It creates a project-specific blueprint showing folders, public interfaces, allowed dependencies, and ownership of data and state.

In plain words
What is it for?
Use it when starting, reviewing, or refactoring a React application's structure, especially when several teams or features need clear boundaries.
Why use it?
It reduces accidental coupling and makes larger React codebases easier for teams to change without unrelated features becoming entangled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; mentions AGENTS.md.

not rated 215repo +1 2mo ago A scan Socket: passSnyk: passSkillSpector: pass 108 tokens original MIT

Good fit Use it when starting, reviewing, or refactoring a React application's structure, especially when several teams or features need clear boundaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pproenca/dot-skills/feature-arch
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.

Any agent
npx skills add pproenca/dot-skills --skill feature-arch
Clone the repo
git clone --depth 1 https://github.com/pproenca/dot-skills

Made for: Claude Code, Codex.

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-arch

README.md
[![agentmods](https://agentmods.dev/badge/skills/pproenca/dot-skills/feature-arch/github.svg)](https://agentmods.dev/skills/pproenca/dot-skills/feature-arch)
Your own site
<a href="https://agentmods.dev/skills/pproenca/dot-skills/feature-arch"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/feature-arch/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-arch

Your own site · 80×15
<a href="https://agentmods.dev/skills/pproenca/dot-skills/feature-arch"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/feature-arch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,844 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. Third-party audits
  • Socket pass 20 May 2026
  • Snyk pass 20 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00108 $0.01844
Opus 5.5 $0.00043 $0.00738
Sonnet 5.5 $0.00022 $0.00369
Haiku 4.5 $0.00011 $0.00184

Measured 1mo ago against content hash 1df698a5b0e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature-arch 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 1mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/.curated/feature-arch/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature-Based Architecture Best Practices

Comprehensive architecture guide for organizing React applications by features, enabling scalable development with independent teams. Contains 43 rules across 8 categories, prioritized by impact from critical (directory structure, imports) to incremental (naming conventions). When invoked on a real project, the skill produces a project-specific blueprint that anchors every decision in those rules.

Primary Output: The Target Architecture Blueprint

When an agent invokes this skill on a real project, the deliverable is a single markdown file persisted at docs/architecture/FEATURE-ARCH-TARGET.md (or the repo's existing docs location). The blueprint contains:

  1. Project context — framework, state libraries, routing model, current shape.
  2. Identified features — confirmed with the user, sourced from routes, docs, openspec, and code clusters.
  3. Target directory tree — literal paths, not pseudo-trees.
  4. Per-feature public APIs — exact named exports of each index.ts.
  5. Import-boundary matrix — N×N table of feature relationships (allowed / forbidden / via app / via events).
  6. State & data ownership — server-state and client-state owner per feature.
  7. Cross-feature communication policy — composition, events, or shared slice — with rationale.
  8. Numbered migration plan — file-level move/create/delete steps with S/M/L effort estimates.
  9. Human conformance checklist — for code review and "definition of done".
  10. Open questions — anything that needs a human decision before migration.

Every section cites the specific rules below that govern its decisions, so the blueprint stays a projection of this skill — not a parallel authority.

How the agent generates the blueprint

Follow the process in references/_blueprint-process.md. Summary:

  1. Gather context (package.json, src/ tree, README, CLAUDE.md, openspec/).
  2. Identify candidate features from routes, docs, and code clusters.
  3. Confirm the feature list with the user via AskUserQuestion.
  4. Record explicit decisions (layer model, comm mechanism, state/routing owner).
  5. Fill in assets/templates/feature-arch-target.md.template — every {{placeholder}} replaced with a literal project value.
  6. Hand off: print path, summarise feature/step counts, list top-3 risks, suggest next action. Do not start executing migration steps in the same turn.

Read the full file on GitHub · 157 lines

Files

What ships with it

50 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 157 lines · 108 tokens per session scan A 1df698a5b0e6

Subscribe to this mod's changes

feature-arch is a skill published in the GitHub repository pproenca/dot-skills (215 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 1,844 once invoked, about $0.0004 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 2026-08-30.

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