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.
npx skills add Aetheria-Labs1/storefront-skills --skill asset-prepgit clone --depth 1 https://github.com/Aetheria-Labs1/storefront-skillsWrote 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.
[](https://agentmods.dev/skills/aetheria-labs1/storefront-skills/asset-prep)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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:
- Ask whether the user wants to pick from the library first
(
lexsis_asset_library.searchwithquery: "", thetheme_id, andmode: "tags"for a category such asbannerorlogo; wait for theDesign asset selection:message). Otherwise search existing Lexsis assets. - Use real Shopify product media for product identity.
- Ask before spending generation credits.
- Prefer Lexsis generation. If another image-generation tool is available, offer it as an explicit provider choice.
- Import external-tool results into Lexsis.
- 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.statustochanges-pending-approvalfor 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:
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.
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.
- 2d ago Changed · -1 lines 9644b8d5bab9
- 4d ago Changed · -9 lines · +5 tokens per session 86c0a8aa40b8
- 5d ago Changed · +21 lines 0260d8f525b8
- 7d ago Changed · -138 lines · -31 tokens per session 679fc1932d7f
- 11d ago First seen · 209 lines · 63 tokens per session scan A 25b0e58f80d4
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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