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 nexscope-ai/eCommerce-Skills --skill tiktok-shop-affiliate-programgit clone --depth 1 https://github.com/nexscope-ai/eCommerce-SkillsWrote 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/nexscope-ai/ecommerce-skills/tiktok-shop-affiliate-program)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/tiktok-shop-affiliate-program"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-affiliate-program/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/nexscope-ai/ecommerce-skills/tiktok-shop-affiliate-program"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-affiliate-program.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium MCP Rug Pull · line 14 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 | $0.00054 | $0.02035 |
| Opus 5 | $0.00027 | $0.01018 |
| Sonnet 5 | $0.00011 | $0.00407 |
| Haiku 4.5 | $0.00005 | $0.00203 |
Grade A, and why
tiktok-shop-affiliate-program 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 9d 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 — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Shop Affiliate Program 🤝
Build and scale your TikTok Shop affiliate program. Creator recruitment to performance optimization.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-affiliate-program -g
Usage Examples
Affiliate program setup:
"Help me set up a TikTok Shop affiliate program with optimal commission structure"
Creator recruitment strategy:
"I need to find and recruit 50 TikTok creators for my beauty brand affiliate program"
Performance optimization:
"My affiliate program has 20 creators but sales are low - help me optimize performance"
Core Capabilities
1. Program Structure & Strategy
- Commission structure optimization
- Tier-based reward systems
- Performance incentive design
- Legal and compliance frameworks
2. Creator Recruitment & Onboarding
- Target creator identification and vetting
- Outreach strategies and messaging templates
- Application and approval processes
- Creator onboarding and training
3. Relationship Management
- Creator communication and support
- Sample product distribution
- Content approval workflows
- Performance feedback and coaching
4. Performance Analytics & Optimization
- Creator performance tracking and analysis
- ROI measurement and optimization
- Program scaling strategies
- Retention and motivation tactics
How It Works
Step 1: Program Foundation & Structure
Design competitive and sustainable affiliate program
Establish program framework:
- Research competitive commission rates and incentive structures
- Design tier-based system with performance rewards
- Create legal agreements and compliance documentation
- Set up tracking systems and payment processes
Step 2: Creator Recruitment & Vetting
Strategic creator acquisition and quality control
Build creator network:
- Identify target creator profiles and audience alignment
- Develop outreach strategies with personalized messaging
- Create streamlined application and approval processes
- Establish creator onboarding and training systems
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.
- 9d ago First seen · 261 lines · 54 tokens per session scan A 71c44604f653
tiktok-shop-affiliate-program is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 54 tokens to every session and 2,035 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
buyer-intent-writer
Write or rewrite ecommerce product descriptions, bullets, buying-guide sections, and landing-page copy around verified buyer needs, objections, comparisons, and purchase intent. Use when the user asks for buyer-intent copy, product copy, conversion copy, or a clearer product description. Do not use for technical…
competitor-seo-analyzer
Compare observable ecommerce competitor SEO, content, structured-data, trust, and buyer-intent signals. Use when the user asks for competitor SEO analysis, an SEO comparison, content gaps, or a comparison of supplied pages, listings, exports, or search evidence. Do not infer live rankings, traffic, backlinks, or AI…
ecommerce-geo-auditor
Diagnose an ecommerce page or listing for GEO, AI-search, AI-citation, and AI-shopping readiness using inspected page evidence, supplied content, or crawl data. Use when the user asks for a GEO audit, AI visibility readiness check, AI search audit, citation-readiness review, or why a product is hard for AI systems to…
ecommerce-geo-optimizer
Turn verified ecommerce GEO, AI-search, or AI-citation readiness gaps into a prioritized implementation plan covering content, product facts, technical access, structured data, trust, and measurement. Use when the user asks to improve GEO, optimize for AI search, fix a GEO audit, or create an AI visibility readiness…
ecommerce-seo-auditor
Audit ecommerce websites, product pages, collection pages, and marketplace listings for technical SEO, crawlability, indexability, on-page relevance, content, internal linking, product data, images, and Core Web Vitals. Use when the user asks for an ecommerce SEO audit, store SEO checkup, product-page review…
geo-content-optimizer
Rewrite ecommerce product, category, store, or marketplace content so verified facts are clear, specific, structured, and answer-ready for GEO, AI search, and AI citations. Use when the user asks to optimize content for GEO, AI search, AI answers, citations, or clearer product facts. Do not perform a technical audit…