Install
$ agentstack add skill-affitor-affiliate-skills-purple-cow-audit ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Purple Cow Audit
Quality gate for affiliate marketers: score a product's remarkability 1-10 before promoting it. Based on Seth Godin's Purple Cow — if the product isn't remarkable, no amount of marketing skill will make it convert sustainably. The key question: "Would I recommend this to a friend WITHOUT earning a commission?"
Stage
S1: Research — Evaluating a program's worthiness IS part of research and discovery. This is a quality gate before you invest time creating content, landing pages, and email sequences.
When to Use
- User is considering promoting a specific product
- User asks "is this product worth promoting?"
- User wants to evaluate product quality before investing time
- User says "purple cow", "remarkable", "audit", "evaluate", "quality check"
- Before investing time in S2-S5 skills for a specific product
- User has a list of programs from
affiliate-program-searchand needs to pick the best
Input Schema
product: # REQUIRED
name: string # Product name
url: string # Product website
description: string # OPTIONAL — what it does
reward_value: string # OPTIONAL — commission rate
tags: string[] # OPTIONAL — categories
comparison_products: string[] # OPTIONAL — competitors to compare against
# Default: auto-discovered
Chaining from S1 affiliate-program-search: If run, evaluate the recommended_program.
Workflow
Step 1: Research the Product
web_search:"[product] review 2024 2025"— find recent reviewsweb_search:"[product] vs" OR "[product] alternative"— find competitorsweb_search:"[product] complaints" OR "[product] problems"— find issues- Check product website for: pricing transparency, unique features, social proof
Step 2: Score Remarkability
Rate each dimension 1-10:
| Dimension | Question | Weight | |---|---|---| | Uniqueness | Does it do something no competitor does? | 20% | | Quality | Is it genuinely excellent at its core job? | 20% | | Story | Does using it make you feel/look different? | 15% | | Word of mouth | Would users tell friends unprompted? | 15% | | Design | Is the experience delightful, not just functional? | 10% | | Problem fit | Does it solve a real, painful problem? | 10% | | Trust | Transparent pricing, good support, real social proof? | 10% |
Composite score = weighted average (1-10)
Step 3: Make Recommendation
Based on composite score:
- 8-10: PROMOTE — This is a Purple Cow. Go all in.
- 6-7: PROMOTE WITH ANGLE — Good product, needs strong positioning. Identify your unique angle.
- 4-5: CAUTION — Mediocre product. Only promote if commission is exceptional AND you can add significant value through bonuses.
- 1-3: SKIP — Not remarkable. Promoting this will damage your reputation. Find an alternative.
Step 4: Identify Remarkable Angles
For products scoring 6+, identify:
- The 1-2 features that ARE remarkable (Purple Cow elements)
- The angles that make it share-worthy
- The audience segment for whom this IS a Purple Cow (even if not for everyone)
Step 5: Self-Validation
- [ ] Score is evidence-based (cited reviews, features, data)
- [ ] Recommendation is honest (not inflated by high commission)
- [ ] Remarkable angles are specific (not generic praise)
- [ ] Comparison with competitors is fair
- [ ] The "would I recommend without commission" test was honestly applied
Output Schema
output_schema_version: "1.0.0"
purple_cow_audit:
product_name: string
composite_score: number # 1-10 weighted
recommendation: string # "promote" | "promote_with_angle" | "caution" | "skip"
scores:
uniqueness: number
quality: number
story: number
word_of_mouth: number
design: number
problem_fit: number
trust: number
remarkable_angles: string[] # What makes it a Purple Cow (for 6+)
red_flags: string[] # Concerns identified
alternative_products: string[] # Better options if score **Next step — copy-paste this prompt:**
> "Design an irresistible offer for [product] using these remarkable angles: [list from audit]" → runs `grand-slam-offer`
## Flywheel Connections
### Feeds Into
- `grand-slam-offer` (S4) — remarkable angles become the offer's core messaging
- `viral-post-writer` (S2) — remarkable elements are what makes content shareable
- `affiliate-blog-builder` (S3) — audit insights inform honest review content
- `landing-page-creator` (S4) — remarkable features highlighted on the page
### Fed By
- `affiliate-program-search` (S1) — products to evaluate
- `competitor-spy` (S1) — competitive landscape for comparison
### Feedback Loop
- `ab-test-generator` (S6) reveals which remarkable angles resonate with audience → refine what "remarkable" means for your specific audience
## References
- `shared/references/case-studies.md` — Real affiliate success stories
- `shared/references/affiliate-glossary.md` — Terminology
- `shared/references/flywheel-connections.md` — Master connection map
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [Affitor](https://github.com/Affitor)
- **Source:** [Affitor/affiliate-skills](https://github.com/Affitor/affiliate-skills)
- **License:** MIT
- **Homepage:** https://list.affitor.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.