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-influencer-marketinggit 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-influencer-marketing)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/tiktok-influencer-marketing"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-influencer-marketing/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-influencer-marketing"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-influencer-marketing.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 | $0.00060 | $0.01243 |
| Opus 5 | $0.00030 | $0.00622 |
| Sonnet 5 | $0.00012 | $0.00249 |
| Haiku 4.5 | $0.00006 | $0.00124 |
Grade A, and why
tiktok-influencer-marketing 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Influencer Marketing 📱
Scale your brand with TikTok creators. Strategic campaign planning from discovery to ROI tracking.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-influencer-marketing -g
Usage Examples
Creator discovery and outreach:
"Find TikTok creators for my skincare brand, budget $500-2000 per post"
Campaign strategy planning:
"Create an influencer campaign brief for my product launch on TikTok Shop"
ROI measurement:
"How do I track and measure ROI from TikTok creator partnerships?"
Core Capabilities
1. Creator Discovery & Vetting
- Niche-specific creator identification
- Audience alignment analysis
- Engagement rate evaluation
- Brand safety assessment
2. Campaign Strategy & Execution
- Creative brief development
- Content guidelines and brand standards
- Campaign timeline planning
- Deliverable specifications
3. Partnership Management
- Contract negotiation frameworks
- Usage rights and licensing
- Performance expectations setting
- Relationship management
4. Performance Tracking & Optimization
- ROI measurement (CPM, CPA, ROAS)
- Content performance analysis
- Creator performance benchmarking
- Campaign optimization insights
How It Works
Step 1: Creator Research & Discovery
Strategic creator identification and vetting process
Analyze campaign requirements:
- Define target audience and demographics
- Establish budget and campaign goals
- Identify relevant creator categories and niches
- Research creator authenticity and engagement patterns
Step 2: Campaign Planning & Outreach
Structured approach to creator engagement
Develop campaign strategy:
- Create compelling creator briefs with clear deliverables
- Set performance expectations and KPIs
- Design outreach sequences with personalized messaging
- Negotiate rates, timelines, and usage rights
Step 3: Execution & Performance Analysis
Campaign management and optimization
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 · 171 lines · 60 tokens per session scan A f937803f846b
tiktok-influencer-marketing is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 60 tokens to every session and 1,243 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…