Agent skill · Audited from source

Bonus Stack Builder

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: Design exclusive bonus packages that make YOUR affiliate link the obvious choice. Triggers on: "create bonuses for", "bonus stack", "what bonuses should I offer", "bonus ideas for", "exclusive bonuses", "differentiate…

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Cite this page

ModelsAtlas. “Bonus Stack Builder (Affitor/affiliate-skills)”. Retrieved 15 Oct 2026. https://modelsatlas.com/skills/affitor/bonus-stack-builder

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/bonus-stack-builderThe 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: Design exclusive bonus packages that make YOUR affiliate link the obvious choice. Triggers on: "create bonuses for", "bonus stack", "what bonuses should I offer", "bonus ideas for", "exclusive bonuses", "differentiate…

---
name: bonus-stack-builder
description: >
  Design exclusive bonus packages that make YOUR affiliate link the obvious choice.
  Triggers on: "create bonuses for", "bonus stack", "what bonuses should I offer",
  "bonus ideas for", "exclusive bonuses", "differentiate my affiliate link",
  "why buy through my link", "affiliate bonuses", "bonus package",
  "what can I offer as a bonus", "design bonuses", "build a bonus stack".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "landing-pages", "conversion", "offers", "bonuses", "hormozi"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S4-Landing
---

# Bonus Stack Builder

Design exclusive bonus packages that make YOUR affiliate link the only rational choice. The product is the same through every affiliate's link — your bonuses are what differentiate you. Creates specific, deliverable bonuses matched to your skills and audience needs.

## Stage

S4: Landing — Bonuses live on the landing page. They are the conversion differentiator between your link and every other affiliate promoting the same product.

## When to Use

- User promotes an affiliate product and wants to stand out from other affiliates
- User asks "why would someone buy through MY link?"
- User wants to increase conversion rates on existing promotions
- User says "bonus", "bonus stack", "exclusive offer", "differentiate"
- After running `grand-slam-offer` to flesh out the bonus suggestions

## Input Schema

```yaml
product:                    # REQUIRED — the affiliate product
  name: string              # Product name
  description: string       # What it does
  pricing: string           # Product price
  url: string               # Affiliate link
  tags: string[]            # e.g., ["ai", "video", "saas"]

your_skills: string[]       # OPTIONAL — what you can create/offer
                            # e.g., ["writing", "design", "coding", "consulting"]
                            # Default: inferred from context

audience_pain_points: string[] # OPTIONAL — biggest struggles of your audience
                               # Default: inferred from product category

existing_bonuses: string[]  # OPTIONAL — bonuses you already offer
                            # Default: none
```

**Chaining from S4 grand-slam-offer**: If `grand-slam-offer` was run, use `offer_stack.bonuses` as starting point and flesh them out.

## Workflow

### Step 1: Gather Context

1. If product data available from chain, use directly. Otherwise `web_search` for product details.
2. Identify the product's top 3 pain points it solves
3. Identify the product's top 3 gaps (things users struggle with after buying)
4. Research: `"[product] complaints" OR "[product] struggles" OR "[product] learning curve"` to find bonus opportunities

### Step 2: Design Bonus Stack

Read `shared/references/offer-frameworks.md` for bonus types and rules.

For each bonus, define:
1. **What it is** — specific deliverable, not vague
2. **What problem it solves** — maps to a pain point or product gap
3. **Format** — PDF, video, template, spreadsheet, community access, call
4. **Perceived value** — what you'd charge if sold separately
5. **Effort to create** — low/medium/high (helps user prioritize)
6. **Exclusivity** — why this is ONLY available through your link

Design 5-7 bonuses across these tiers:
- **Tier 1: Quick wins** (low effort to create, high perceived value) — templates, checklists, swipe files
- **Tier 2: Deep value** (medium effort, high impact) — mini-course, workshop recording, tool
- **Tier 3: Premium** (high effort, ultimate differentiator) — personal support, community, coaching

### Step 3: Calculate Stack Value

- Sum perceived values of all bonuses
- Compare to product price — bonus value should be 3-10x product price
- Identify the "hero bonus" — the one that does the most persuasive heavy lifting

### Step 4: Write Bonus Copy

For each bonus, write:
- **Name** — specific and benefit-driven (not "Bonus #1")
- **One-liner** — what it is + what it does for them
- **Value statement** — "$XX value — FREE with your purchase"
- **Delivery method** — how they get it after purchasing

### Step 5: Self-Validation

- [ ] Each bonus is specific and deliverable (not vague promises)
- [ ] At least one bonus addresses the product's biggest gap
- [ ] Total bonus value exceeds product price
- [ ] At least one "exclusive" bonus (only through your link)
- [ ] All bonuses are within your skills to actually create
- [ ] No income claims or unrealistic promises

## Output Schema

```yaml
output_schema_version: "1.0.0"
bonus_stack:
  product_name: string
  total_value: string          # Total perceived value of all bonuses
  product_price: string        # For comparison
  hero_bonus: string           # The most compelling bonus name
  bonuses:
    - name: string
      description: string
      problem_solved: string
      format: string           # "pdf" | "video" | "template" | "community" | "call" | "tool"
      perceived_value: string
      effort_to_create: string # "low" | "medium" | "high"
      exclusivity: string
      delivery: string         # How they receive it

chain_metadata:
  skill_slug: "bonus-stack-builder"
  stage: "landing"
  timestamp: string
  suggested_next:
    - "landing-page-creator"
    - "guarantee-generator"
    - "email-drip-sequence"
```

## Output Format

```
## Bonus Stack: [Product Name]

### Stack Overview
- **Product price:** $XX/mo
- **Total bonus value:** $XXX
- **Hero bonus:** [name]
- **Message:** "Get $XXX in exclusive bonuses FREE when you start [product] through my link"

### Bonus 1: [Name] ($XX value)
**What:** [specific deliverable]
**Solves:** [pain point]
**Format:** [format]
**Delivery:** [how they get it]
**Why exclusive:** [only through your link because...]

[Repeat for each bonus]

### Bonus Copy (ready to paste)

✅ [Bonus 1 name] — [one-liner] ($XX value)
✅ [Bonus 2 name] 

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
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/bonus-stack-builder/badge.svg)](https://modelsatlas.com/skills/affitor/bonus-stack-builder/)

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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[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/affitor/bonus-stack-builder/badge.svg)](https://modelsatlas.com/skills/affitor/bonus-stack-builder/)

Questions about Bonus Stack Builder

What does the Bonus Stack Builder 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 Bonus Stack Builder 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 Bonus Stack Builder access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Bonus Stack Builder work with?
Its documentation mentions claude-code, 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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