asset-prep

asset-prep is a skill for Claude Code, Codex from Aetheria-Labs1/storefront-skills. It costs 37 tokens per session (606 once invoked), scanned A, original, MIT.

A visual-asset preparation workflow for a storefront page, such as an online shop page. It finds existing brand assets first, then sources or creates images and videos and records where each asset belongs.

In plain words
What is it for?
Use it after planning a page to prepare backgrounds, product images, lifestyle pictures, textures, videos, reference images, or illustrations, then create an asset manifest.
Why use it?
It reduces the work of finding suitable visuals and helps keep assets organized before the page is built.

Skill for Claude CodeCodex

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

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

Good fit Use it after planning a page to prepare backgrounds, product images, lifestyle pictures, textures, videos, reference images, or illustrations, then create an asset manifest.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aetheria-labs1/storefront-skills/asset-prep
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 asset-prep
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 asset-prep

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/aetheria-labs1/storefront-skills/asset-prep"><img src="https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/asset-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 606 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 $0.00037 $0.00606
Opus 5 $0.00018 $0.00303
Sonnet 5 $0.00007 $0.00121
Haiku 4.5 $0.00004 $0.00061

Measured 2d ago against content hash 9644b8d5bab9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

asset-prep 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 2d 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.

skills/asset-prep/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prepare Assets

Use this skill for asset-only work. It does not require /plan-page or /design-page, and other skills must not invoke it automatically.

Use lexsis_asset_library.search, lexsis_catalog.list, lexsis_catalog.get, lexsis_workspace.credits, lexsis_drafts.asset_generate, lexsis_asset_upload.import, and lexsis_assets.view.

Choose a Mode

Standalone

Accept an asset brief containing the brand/store, roles, dimensions, crops, style, and intended use. Search, generate, import, and verify the requested media. Save results under work/storefront-assets/<brief-name>/asset-manifest.json.

Existing Page

Read the page source and compact manifest. Work only on the requested missing, placeholder, or replacement roles. Do not redesign unrelated sections.

Source Order

For each role:

  1. Ask whether the user wants to pick from the library first (lexsis_asset_library.search with query: "", the theme_id, and mode: "tags" for a category such as banner or logo; wait for the Design asset selection: message). Otherwise search existing Lexsis assets.
  2. Use real Shopify product media for product identity.
  3. Ask before spending generation credits.
  4. Prefer Lexsis generation. If another image-generation tool is available, offer it as an explicit provider choice.
  5. Import external-tool results into Lexsis.
  6. Inspect the final asset and verify identity-sensitive imagery.

Use supported icons, SVG, or CSS for ordinary interface icons. Do not generate raster UI icons unless the brief explicitly requires custom artwork.

Page Updates

When working on a page:

  • replace the asset in lexsis-source.html
  • store only the final binding in page-manifest.json
  • recompile once after all requested assets are updated
  • set design.status to changes-pending-approval for visible changes

Do not create a second HTML source or local preview. Page source must use permanent Lexsis or Shopify media.

Asset Record

Keep the machine record compact:

Read the full file on GitHub · 82 lines

Files

What ships with it

1 file 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. 2d ago Changed · -1 lines 9644b8d5bab9
  2. 4d ago Changed · -9 lines · +5 tokens per session 86c0a8aa40b8
  3. 5d ago Changed · +21 lines 0260d8f525b8
  4. 7d ago Changed · -138 lines · -31 tokens per session 679fc1932d7f
  5. 11d ago First seen · 209 lines · 63 tokens per session scan A 25b0e58f80d4

Subscribe to this mod's changes

asset-prep is a skill published in the GitHub repository Aetheria-Labs1/storefront-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 606 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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