Agent skill · Audited from source

Product Showcase Page

skill · Affitor/affiliate-skillsMIT licenceAudited 15 Oct 2026 · source 2515ce9634da

★ 713pushed 2 days agoversion 1.0
✓SAFEGrade B · 89/100 · 15 Oct 2026 · 2515ce9
713repo stars · whole Affitor/affiliate-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 2515ce9634da and found no filesystem, network or shell access and no hard-coded secrets. What it does: Build a single-product deep-dive showcase page as a self-contained HTML file. Triggers on: "build a product showcase page", "deep dive landing page for [product]", "create a product spotlight page", "product feature…

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Cite this page

ModelsAtlas. “Product Showcase Page (Affitor/affiliate-skills)”. Retrieved 15 Oct 2026. https://modelsatlas.com/skills/affitor/product-showcase-page

Trust audit

Audit 0.4.1 · source read 15 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 2515ce9634da · 15 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherAffitor GitHub organizationOwner of the repository this skill is read from
  • Source folderAffitor/affiliate-skills/skills/landing/product-showcase-pageThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict2515ce9634daA new audit runs when the source changes
  • Repository statusNot archivedLast push 2 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Build a single-product deep-dive showcase page as a self-contained HTML file. Triggers on: "build a product showcase page", "deep dive landing page for [product]", "create a product spotlight page", "product feature…

---
name: product-showcase-page
description: >
  Build a single-product deep-dive showcase page as a self-contained HTML file.
  Triggers on: "build a product showcase page", "deep dive landing page for [product]",
  "create a product spotlight page", "product feature page", "single product page",
  "detailed page about [product]", "build a page showing everything about [product]",
  "create a long-form product page", "build a sales page for [product]",
  "product deep dive page", "make a feature breakdown page for [product]".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "landing-pages", "conversion", "offers", "showcase", "product-page"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S4-Landing
---

# Product Showcase Page

Build a long-form, single-product showcase page as a self-contained HTML file. Goes deeper than a standard landing page — includes a full hero section, feature breakdown with icons, use case demonstrations, testimonials, a pricing comparison table, FAQ with accordions, and multiple high-intent affiliate CTAs. Designed for pre-sold traffic (readers who came from a review or comparison) and wants to make the final conversion push.

## When to Use

- User wants a dedicated page for one product that covers everything a buyer needs to know
- User says "showcase page", "product spotlight", "deep-dive page", "feature breakdown page"
- User wants a page longer than a standard landing page — for high-ticket products needing more persuasion
- User is sending warm traffic (from a blog post or email) and wants to close the sale
- User wants a page that can double as a product review in page form

## Workflow

### Step 1: Gather Product Data

If `product` data is available from S1 or prior conversation, use it directly.

Otherwise, use `web_search` to research the product:
1. **Features**: `"[product name] features"` — gather 6-12 distinct capabilities
2. **Pricing**: `"[product name] pricing"` — all tiers with feature differences
3. **Use cases**: `"[product name] use cases"` OR `"[product name] examples"` — concrete applications
4. **Testimonials**: `"[product name] reviews"` on G2/Capterra — find real sentiment (do not copy verbatim — paraphrase or create realistic representative examples)
5. **Competitors**: `"[product name] vs"` — 2-3 competitors for the pricing comparison
6. **FAQ**: `"[product name] questions"` OR check product's own FAQ page

Organize the research into these buckets:
- Core features (6-12, each with a one-sentence benefit statement)
- Use cases (3-5, each framed as a specific problem solved)
- Pricing tiers (2-4 tiers with included features and price)
- Comparison data (the 5-8 dimensions where this product wins vs. competitors)
- Social proof (ratings, user counts, company names using it)
- FAQ answers (6-10 questions)

### Step 2: Plan the Page Architecture

Read `references/conversion-principles.md` for long-form page principles.

A product showcase page is longer than a standard landing page — it must justify the length with value at every section. Plan each section:

1. **FTC Disclosure** — small, above hero
2. **Hero** — headline + sub-headline + primary CTA + hero visual + trust bar
3. **Problem Statement** — 2-3 sentences establishing the pain the product solves
4. **Product Overview** — 3-sentence description + key stats
5. **Features Grid** — 6-12 features with icons (pure CSS) + headline + description
6. **Use Cases** — 3-5 real scenarios (who uses it, how, outcome)
7. **Social Proof Bar** — logos, ratings, subscriber counts
8. **Pricing Comparison** — table comparing this product's tiers against 2 competitors
9. **Testimonials** — 2-3 cards with quote, name, role
10. **FAQ Accordion** — 6-10 questions with JS-powered expand/collapse
11. **Final CTA Section** — strong headline + benefits recap + primary CTA button
12. **Footer** — FTC disclosure full text, Affitor attribution

**CTA placement rules:**
- Hero: primary CTA (always visible)
- After Features Grid: secondary CTA
- After Pricing Table: high-intent CTA (primed by seeing pricing)
- After Testimonials: social-proof-backed CTA
- Final CTA section: closing CTA
- Total: 4-5 CTAs per page

**Angle selection** — choose based on what the research shows:
| Angle | Headline formula |
|---|---|
| Best in category | "The [Category] Tool That Actually Works" |
| Price/value | "Get [Competitor]-Level Results for Half the Price" |
| Speed | "From Zero to [Outcome] in [Timeframe]" |
| Simplicity | "The [Category] Tool That Doesn't Require a Manual" |
| Results-focused | "[Specific Outcome]: How [Product] Delivers Where Others Don't" |

### Step 3: Write the Full HTML

Build a complete self-contained HTML file. This page is longer than standard (~150-200 lines of HTML) and should feel like a high-quality product page.

**Design specifications:**
- All CSS inline in a `<style>` block — no external stylesheets
- System font stack — no Google Fonts
- Mobile-first responsive (375px base, 768px, 1024px breakpoints)
- Feature icons: pure CSS geometric shapes or Unicode symbols — no icon libraries
- FAQ accordion: minimal JavaScript for expand/collapse, gracefully degrades without JS
- Color scheme from input or default blue (`#2563eb`) with appropriate complementary tones
- Section alternating backgrounds for visual rhythm (white / light gray / white)

**Copy requirements per section:**

*Hero Headline* (6-12 words, outcome-focused):
- Avoid: "Welcome to [Product]", "[Product] is the best...", generic superlatives
- Use: specific outcomes, target audience callouts, contrarian angles

*Feature headlines* (each feature gets a benefit headline, not a feature name):
- Not: "Advanced Reporting Dashboard"
- Yes: "See Exactly What's Working at a Glance"

*Use case structure* (one per scenario):
```html
<!-- The problem → The solution → The result pattern -->
"[Job title] needed to [task]. With [Product

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 2515ce9

Download folder ↗
git clone https://github.com/Affitor/affiliate-skills
git -C affiliate-skills checkout 2515ce9634da

The author documents no install command, so this uses the repository directly. Our verdict covers commit 2515ce9634da only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
GitHub CopilotMentioned in its text, not testedSkills for GitHub Copilot · About GitHub Copilot
CursorMentioned in its text, not testedSkills for Cursor · About Cursor
Gemini CLIMentioned in its text, not testedSkills for Gemini CLI · About Gemini CLI
OpenClawMentioned in its text, not testedSkills for OpenClaw · About OpenClaw
WindsurfMentioned in its text, not testedSkills for Windsurf · About Windsurf
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 2515ce9634da

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/affitor/product-showcase-page/badge.svg)](https://modelsatlas.com/skills/affitor/product-showcase-page/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

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Add this badge to your README

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/affitor/product-showcase-page/badge.svg)](https://modelsatlas.com/skills/affitor/product-showcase-page/)

Questions about Product Showcase Page

What does the Product Showcase Page skill do?
50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social intelligence. Works with Claude Code, Pi, ChatGPT, Gemini, Cursor, Windsurf, any AI.
Is Product Showcase Page safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Product Showcase Page access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Product Showcase Page work with?
Its documentation mentions claude-code, copilot, cursor, gemini-cli, openclaw and windsurf. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (2515ce9634da), read on 2026-10-15. The repository is watched, and a new audit runs when it changes — this is the first audit.

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