plan-page

plan-page is a skill for Claude Code, Codex from Aetheria-Labs1/storefront-skills. It costs 45 tokens per session (4,066 once invoked), scanned A, original, MIT.

A planning skill for designing an online-store page before it is generated. It creates a blueprint for sections, animations, visuals, audience, products, traffic source, and the desired conversion.

In plain words
What is it for?
Use it to plan landing pages, product pages, homepages, collection pages, editorial pages, listicles, or bundles, and to decide which questions still need answers.
Why use it?
It reveals missing requirements early, so the page structure and design goal are clearer before generation begins.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions subagents.

Part of the lexsis-storefront-skills plugin — 11 skills, 2 agents shipped together

Good fit Use it to plan landing pages, product pages, homepages, collection pages, editorial pages, listicles, or bundles, and to decide which questions still need answers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aetheria-labs1/storefront-skills/plan-page
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 Aetheria-Labs1/storefront-skills --skill plan-page
Clone the repo
git clone --depth 1 https://github.com/Aetheria-Labs1/storefront-skills

Made for: Claude Code, Codex.

Or install lexsis-storefront-skills, the plugin that ships this one along with the rest of its 11 skills, 2 agents.

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 plan-page

README.md
[![agentmods](https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/plan-page/github.svg)](https://agentmods.dev/skills/aetheria-labs1/storefront-skills/plan-page)
Your own site
<a href="https://agentmods.dev/skills/aetheria-labs1/storefront-skills/plan-page"><img src="https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/plan-page/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 plan-page

Your own site · 80×15
<a href="https://agentmods.dev/skills/aetheria-labs1/storefront-skills/plan-page"><img src="https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/plan-page.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,066 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
  • 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 $0.00045 $0.04066
Opus 5 $0.00023 $0.02033
Sonnet 5 $0.00009 $0.00813
Haiku 4.5 $0.00005 $0.00407

Measured yesterday against content hash a25ee0ce9f5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

plan-page 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 yesterday.

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/plan-page/SKILL.md · 369 lines

How it starts

The opening of the file, as written. The whole thing — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan a Page

Produce a concise strategy, design direction and section blueprint that can be reviewed quickly. The plan owns every visual decision that /design-page will execute: hierarchy, wireframe, palette, type, the one bold moment, the imagery and background plan, and every asset slot on the page.

Read:

  • references/page-files.md
  • references/animation-system.md when the page may use motion
  • references/consumer-behavior-cro.md
  • references/design-rules.md
  • references/island-presets.md
  • references/workflow-intent.md

Use lexsis_catalog.list, lexsis_catalog.get, lexsis_template_library.search_page_kits, lexsis_template_library.search_sections, lexsis_template_library.get_kit, lexsis_asset_library.search, lexsis_assets.view, lexsis_asset_upload.import, lexsis_drafts.asset_generate, lexsis_workspace.credits, lexsis_catalog.reviews_status, lexsis_catalog.review_collections, lexsis_catalog.reviews, and lexsis_catalog.reviews_search. Resolve an unfamiliar schema with exact router/action discovery.

Read work/storefront/setup/setup.json, select one saved store/theme pair, and read its brand design. If the selection is not saved, stop with Run /setup for this store and theme first.

Infer the Planning Mode

Use references/workflow-intent.md to infer fast-draft or production-ready from the whole request and conversation. Record compact intent evidence in workflow.

For fast-draft, fill reasonable campaign, template, asset, and review specifics from the saved brand, live catalog, and user context. Ask only when a missing choice would materially change the campaign or spend credits. Do not require plan approval before handing the reversible first version to /design-page or /generate.

For production-ready, collect and confirm the choices that affect final handoff quality.

Choose the next route from intent:

  • concept-first when the user wants to see or approve a mockup before source;
  • direct-design for the normal source and hosted-draft review;
  • fast-build when the user supplies a template direction and asks for the fastest first draft.

Read the full file on GitHub · 369 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. yesterday Changed · +17 lines a25ee0ce9f5f
  2. 2d ago Changed · +37 lines f8ece5337aae
  3. 4d ago Changed · +219 lines · +11 tokens per session 1eff1460700d
  4. 5d ago Changed · +29 lines d4762fa398d5
  5. 6d ago Changed · -80 lines · +6 tokens per session 74c70c44849c
  6. 10d ago First seen · 147 lines · 28 tokens per session scan A 3189a76e71e6

Subscribe to this mod's changes

plan-page is a skill published in the GitHub repository Aetheria-Labs1/storefront-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 4,066 once invoked, about $0.0002 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 2026-08-31.

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