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 analyze-pagegit 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/analyze-page)<a href="https://agentmods.dev/skills/aetheria-labs1/storefront-skills/analyze-page"><img src="https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/analyze-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.
<a href="https://agentmods.dev/skills/aetheria-labs1/storefront-skills/analyze-page"><img src="https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/analyze-page.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 | $0.00038 | $0.00534 |
| Opus 5 | $0.00019 | $0.00267 |
| Sonnet 5 | $0.00008 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
analyze-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 6d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze a Page or Creative
Choose one mode:
- Inspiration: extract reusable layout and interaction patterns.
- Own-page review: identify design and conversion weaknesses.
- Message-match: compare an ad or screenshot with the intended landing page.
Generic URL or screenshot analysis can use the host browser without Lexsis and
reports MCP status: not-required. Any request that reads a Lexsis campaign,
catalogue, page, asset, or stored analysis requires the normal MCP preflight.
Use the exact actions required by the evidence:
lexsis_campaigns.creatives, lexsis_campaigns.analyze,
lexsis_campaigns.frames, lexsis_catalog.list, lexsis_catalog.get,
lexsis_pages.get, lexsis_pages.inspect, lexsis_pages.source, and
lexsis_assets.view. Resolve an unfamiliar schema with exact
router + action discovery. An empty discovery match does not make the
domain router unavailable. Report an actual failed live call and do not
replace missing evidence with assumptions.
Capture
When a URL is available, use the host browser capability to inspect desktop and mobile views, headings, sections, CTAs, media, and interactions. If browser access is unavailable, use supplied screenshots and state what could not be verified.
For ads, use lexsis_campaigns analysis actions when available.
Analyze
Record:
- page type and audience
- section order and visual rhythm
- desktop/mobile behavior
- CTA and trust placement
- useful interaction patterns and candidate Lexsis islands
- message-match strengths or gaps
- accessibility or usability issues visible in the evidence
Do not use unsupported benchmark percentages or generic lift claims.
Brand Safety
Carry forward structure and design intent only. Exclude competitor copy, logos, product imagery, pricing, claims, reviews, testimonials, and protected brand elements.
Return
Return PAGE_ANALYSIS:
Mode: [inspiration | own-page | message-match]
Source: [...]
Page type: [...]
Reusable structure: [...]
Responsive behavior: [...]
Conversion observations: [...]
Candidate islands: [...]
Avoid copying: [...]
Evidence limits: [...]
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.
- 6d ago Changed · +14 lines 04112428080e
- 7d ago Changed · +15 lines · +3 tokens per session 93ad8df4062c
- 11d ago First seen · 46 lines · 35 tokens per session scan A ce11a1a527e2
analyze-page is a skill published in the GitHub repository Aetheria-Labs1/storefront-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 534 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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