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 seaworld008/Commonly-used-high-value-skills --skill landing-page-generatorgit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/landing-page-generator)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/landing-page-generator"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/landing-page-generator/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/seaworld008/commonly-used-high-value-skills/landing-page-generator"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/landing-page-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Output Handling · line 155 Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
- medium Agent Snooping · line 8 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00031 | $0.02749 |
| Opus 5 | $0.00015 | $0.01375 |
| Sonnet 5 | $0.00006 | $0.00550 |
| Haiku 4.5 | $0.00003 | $0.00275 |
Grade A, and why
landing-page-generator 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 5d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Generator
Generate high-converting landing pages from a product description. Output complete Next.js/React components with multiple section variants, proven copy frameworks, SEO optimization, and performance-first patterns. Not lorem ipsum — actual copy that converts.
Target: LCP < 1s · CLS < 0.1 · FID < 100ms
Output: TSX components + Tailwind styles + SEO meta + copy variants
Core Capabilities
- 5 hero section variants (centered, split, gradient, video-bg, minimal)
- Feature sections (grid, alternating, cards with icons)
- Pricing tables (2–4 tiers with feature lists and toggle)
- FAQ accordion with schema markup
- Testimonials (grid, carousel, single-quote)
- CTA sections (banner, full-page, inline)
- Footer (simple, mega, minimal)
- 4 design styles with Tailwind class sets
Generation Workflow
Follow these steps in order for every landing page request:
- Gather inputs — collect product name, tagline, audience, pain point, key benefit, pricing tiers, design style, and copy framework using the trigger format below. Ask only for missing fields.
- Analyze brand voice (recommended) — if the user has existing brand content (website copy, blog posts, marketing materials), run it through
marketing-skill/skills/content-production/scripts/brand_voice_analyzer.pyto get a voice profile (formality, tone, perspective). Use the profile to inform design style and copy framework selection:- formal + professional → enterprise style, AIDA framework
- casual + friendly → bold-startup style, BAB framework
- professional + authoritative → dark-saas style, PAS framework
- casual + conversational → clean-minimal style, BAB framework
- Select design style — map the user's choice (or infer from brand voice analysis) to one of the four Tailwind class sets in the Design Style Reference.
- Apply copy framework — write all headline and body copy using the chosen framework (PAS / AIDA / BAB) before generating components. Match the voice profile's formality and tone throughout.
- Generate sections in order — Hero → Features → Pricing → FAQ → Testimonials → CTA → Footer. Skip sections not relevant to the product.
- Validate against SEO checklist — run through every item in the SEO Checklist before outputting final code. Fix any gaps inline.
- Output final components — deliver complete, copy-paste-ready TSX files with all Tailwind classes, SEO meta, and structured data included.
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.
- 5d ago Changed · -122 tokens per session 4a129058497d
- 9d ago First seen · 218 lines · 153 tokens per session scan A d39df0b84a8c
landing-page-generator is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 2,749 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 2026-09-03.
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