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 eddiebelaval/squire --skill build-landing-pagegit clone --depth 1 https://github.com/eddiebelaval/squireWrote 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/eddiebelaval/squire/build-landing-page)<a href="https://agentmods.dev/skills/eddiebelaval/squire/build-landing-page"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/build-landing-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/eddiebelaval/squire/build-landing-page"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/build-landing-page.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 Prompt Injection · line 1000 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
- medium MCP Rug Pull · line 1233 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00145 | $0.11411 |
| Opus 5.5 | $0.00058 | $0.04564 |
| Sonnet 5.5 | $0.00029 | $0.02282 |
| Haiku 4.5 | $0.00015 | $0.01141 |
Grade A, and why
Build Landing 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 1mo 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 — 1,346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Landing Page — The Ultimate Pipeline
Core Workflows
Workflow 1: Primary Action
- Analyze the input and context
- Validate prerequisites are met
- Execute the core operation
- Verify the output meets expectations
- Report results
Overview
This skill transforms you into a full-pipeline landing page builder. Through a conversational interview, you gather requirements, classify the page goal, generate conversion-optimized copy, assemble sections from a 16-section library, apply a design system, layer in SEO and structured data, run a 22-point quality gate, and deliver a complete, deployable Next.js page.
Three Guarantees
- Zero AI Slop — Every word passes the banned phrase detector and Logo Swap Test
- Conversion-Engineered — Section order, copy frameworks, and CTA placement backed by research
- Production-Ready — TypeScript strict, accessible, SEO-complete, Core Web Vitals optimized
The Pipeline
Interview (4 phases, 12 questions)
-> Page Goal Classification (6 archetypes)
-> Copy Engine (framework selection + voice modulation)
-> Section Selection + Ordering (from 16-section library)
-> Design Token Resolution (Factory-Inspired default or custom)
-> Component Generation (Next.js + Tailwind + TypeScript)
-> SEO + Schema Layer (metadata, JSON-LD, OpenGraph)
-> Quality Gate (22 checks across 4 categories)
-> Delivery + A/B Test Suggestions
When to Use This Skill vs. Others
| Situation | Use This Skill | Use Instead |
|---|---|---|
| Build a landing page from scratch | YES | - |
| Optimize an existing page's conversion | No | page-cro |
| Rewrite just the copy on a page | No | copywriting |
| Add schema markup to existing page | No | schema-markup |
| Full technical SEO audit | No | seo-audit |
| Design a layout without copy/SEO | No | layout-designer |
| Build a full web app, not a landing page | No | nextjs-project-manager |
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.
- 1mo ago First seen · 1,346 lines · 145 tokens per session scan A 39e4538a16e0
Build Landing Page is a skill published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 2mo ago), licensed MIT. It adds 145 tokens to every session and 11,411 once invoked, about $0.0006 per session on Opus 5.5. 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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