sb-wrappers

sb-wrappers is a skill for Claude Code, Codex from strongeron/storybook-workbench. It costs 59 tokens per session (1,496 once invoked), scanned A, original, MIT.

A collection of Storybook-only display wrappers for comparing designs, showing component states, mapping projects, and presenting app flows. A wrapper is a reusable container that arranges content for a particular review.

In plain words
What is it for?
Use it to compare two designs, show every state on one canvas, review role-based interfaces, track decisions, or display an ordered sequence.
Why use it?
Hand-built comparison grids and flow displays can be inconsistent and hard to maintain. These wrappers provide standard ways to present the information in Storybook.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the storybook-workbench plugin — 11 skills shipped together

Good fit Use it to compare two designs, show every state on one canvas, review role-based interfaces, track decisions, or display an ordered sequence.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add strongeron/storybook-workbench
Claude Code
/plugin install storybook-workbench

Made for: Claude Code, Codex.

Or install storybook-workbench, the plugin that ships this one along with the rest of its 11 skills.

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 sb-wrappers

README.md
[![agentmods](https://agentmods.dev/badge/skills/strongeron/storybook-workbench/sb-wrappers/github.svg)](https://agentmods.dev/skills/strongeron/storybook-workbench/sb-wrappers)
Your own site
<a href="https://agentmods.dev/skills/strongeron/storybook-workbench/sb-wrappers"><img src="https://agentmods.dev/badge/skills/strongeron/storybook-workbench/sb-wrappers/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 sb-wrappers

Your own site · 80×15
<a href="https://agentmods.dev/skills/strongeron/storybook-workbench/sb-wrappers"><img src="https://agentmods.dev/badge/skills/strongeron/storybook-workbench/sb-wrappers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,496 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 $0.00059 $0.01496
Opus 5 $0.00030 $0.00748
Sonnet 5 $0.00012 $0.00299
Haiku 4.5 $0.00006 $0.00150

Measured 11d ago against content hash a43d3c18bd2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

sb-wrappers 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 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/scaffold-wrapper.sh, wrappers/index.ts, wrappers/resolve-paint.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/sb-wrappers/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sb-wrappers — composition primitives, not hand-rolled grids

Don't hand-roll grid markup. Scaffold a typed wrapper.

Load only what the task needs (these are two large refs — don't pull both for one wrapper):

  • references/wrapper-library.md — the per-wrapper API. Load it before authoring any wrapper story, to get the props/args of the one you picked.
  • references/composition-patterns.md — the five composition patterns (A/B, role, status grid, page, motion). Load it only for a Compare / multi-pattern / layered build. Do NOT load it for a single StateGrid / ProjectInventory / DesignSystemHealth scaffold — the library ref alone covers that.

Pick the wrapper from intent

User says Wrapper Tier
"compare two designs" / "side-by-side" ABCanvas 1
"every state on one canvas" StateGrid 1
"every role" / "permission UI" StateGrid with role as the varied prop (only if the app is role-gated) 1
"track this decision" TrackedDecision + DecisionsDashboard 2
"the full flow" / "ordered sequence" StoryStrip / StorySet 2
"shader / WebGL / 3D / keyframe motion" ShaderCanvas / R3FCanvas / MotionStage 3
"token source of truth" / "DS health" / "inventory" TokensCanvas / DesignSystemHealth / ProjectInventory 4
"icon coverage" / "which icons / what sizes / where is an icon used" IconMatrix 4
"whole-app route map" / "journey map" AppFlowGraph / JourneyGraph flow

When in the flow (which wrapper, which step)

Wrappers split by what feeds them. The data wrappers render a prior step's JSON — scaffold and use them AFTER that step has run, or they render empty. The component/story wrappers you reach for while writing a story. Suggest the matching wrapper as the next step once its input exists.

Reach for it… Wrapper(s) Needs (run first)
after sb-inventory ProjectInventory, TokenMatrix (Colors foundation — value · mapping · adoption; leave the health prop off) .storybook/project-inventory.json
after sb-inventory (usage graph) ComponentUsage, UsageExplorer .storybook/component-pages.json (build-component-pages.py / refresh-usage.sh)
after sb-health DesignSystemHealth .storybook/design-system-health.json (TokensCanvas auto-discovers — no step)
after sb-flows AppFlowGraph, JourneyGraph .storybook/flows.json
building Foundations/Icons IconMatrix nothing — scans /src live; pass library + resolve
writing a component story (sb-stories) StateGrid (all states), StateMatrix (variants × states) the component
composing existing stories StorySet (by tag/id), StoryStrip (ordered) stories already written
iteration (Compare / decide) ABCanvas, TrackedDecision + DecisionsDashboard

Read the full file on GitHub · 97 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. 11d ago First seen · 97 lines · 59 tokens per session scan A a43d3c18bd2e

Subscribe to this mod's changes

sb-wrappers is a skill published in the GitHub repository strongeron/storybook-workbench (33 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 1,496 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.

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