value-ladder-architect

value-ladder-architect is a skill for Claude Code, Codex from Affitor/affiliate-skills. It costs 96 tokens per session (2,559 once invoked), scanned A, original, MIT.

A planning tool for designing a customer’s path from a free offer to paid products and later upgrades. An affiliate promotion earns a commission for sending customers to another company’s product.

In plain words
What is it for?
Use it to plan free offers, low-cost introductory products, main offers, upgrades, downsells, landing pages, and related emails.
Why use it?
It makes the steps between attracting someone and presenting higher-priced offers easier to map and review.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; mentions Claude Code; built for openclaw.

Good fit Use it to plan free offers, low-cost introductory products, main offers, upgrades, downsells, landing pages, and related emails.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/affitor/affiliate-skills/value-ladder-architect
Install

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.

Any agent
npx skills add Affitor/affiliate-skills --skill value-ladder-architect
Clone the repo
git clone --depth 1 https://github.com/Affitor/affiliate-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for value-ladder-architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/affitor/affiliate-skills/value-ladder-architect/github.svg)](https://agentmods.dev/skills/affitor/affiliate-skills/value-ladder-architect)
Your own site
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/value-ladder-architect"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/value-ladder-architect/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.

agentmods 80×15 button for value-ladder-architect

Your own site · 80×15
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/value-ladder-architect"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/value-ladder-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,559 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00096 $0.02559
Opus 5 $0.00048 $0.01280
Sonnet 5 $0.00019 $0.00512
Haiku 4.5 $0.00010 $0.00256

Measured 12d ago against content hash ad41d002a075, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

value-ladder-architect 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 12d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/landing/value-ladder-architect/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Value Ladder Architect

Design the complete free → tripwire → core → upsell path for affiliate promotions. Maps the entire customer ascension journey, where each step delivers standalone value while naturally leading to the next. The value ladder IS the page sequence: squeeze → bridge → sales → upsell.

Stage

S4: Landing — The value ladder defines the sequence of pages and offers. Each rung is a landing page, email, or content piece that converts the visitor to the next level.

When to Use

  • User wants to map the entire customer journey, not just one landing page
  • User asks about upsells, downsells, tripwires, or funnel stages
  • User wants to maximize lifetime value from affiliate promotions
  • User says "value ladder", "customer journey", "ascension", "funnel architecture"
  • After running grand-slam-offer to design the core offer and wanting to expand
  • User promotes a product with multiple tiers (free, pro, enterprise)

Input Schema

product:                      # REQUIRED
  name: string                # Product name
  pricing_tiers: object[]     # Available pricing tiers
    - name: string            # e.g., "Free", "Pro", "Enterprise"
      price: string           # e.g., "$0", "$49/mo", "$199/mo"
      features: string[]      # Key features at this tier
  reward_value: string        # Your commission
  reward_type: string         # "recurring" | "one-time" | "tiered"
  url: string                 # Affiliate link

your_assets: string[]         # OPTIONAL — content/resources you already have
                              # e.g., ["blog", "email list", "YouTube channel", "templates"]
                              # Default: ["blog"]

goal: string                  # OPTIONAL — "first_commission" | "maximize_ltv" | "build_list"
                              # Default: "first_commission"

Chaining from S4 grand-slam-offer: Use offer_stack to position the core offer in the ladder. Chaining from S4 bonus-stack-builder: Use bonus_stack to populate tripwire and bonus tiers.

Read the full file on GitHub · 249 lines

Changes

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.

  1. 12d ago First seen · 249 lines · 96 tokens per session scan A ad41d002a075

Subscribe to this mod's changes

value-ladder-architect is a skill published in the GitHub repository Affitor/affiliate-skills (658 stars, last pushed 6d ago), licensed MIT. It adds 96 tokens to every session and 2,559 once invoked, about $0.0005 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 2026-08-30.

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