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 product-differentiation-tiktokgit 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/product-differentiation-tiktok)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/product-differentiation-tiktok"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/product-differentiation-tiktok/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/product-differentiation-tiktok"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/product-differentiation-tiktok.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 16 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 | $0.00055 | $0.00958 |
| Opus 5 | $0.00028 | $0.00479 |
| Sonnet 5 | $0.00011 | $0.00192 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
product-differentiation-tiktok 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Differentiation — TikTok Shop 🎯
Develop winning product differentiation strategies for TikTok Shop.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill product-differentiation-tiktok -g
Features
- Competitor Matrix — Side-by-side product comparison
- Viral Analysis — Trending product patterns
- Pain Point Mining — Extract issues from reviews/comments
- USP Extraction — Identify unique selling points
- Creator Strategy — Affiliate collaboration insights
- Action Plan — Prioritized improvement roadmap
TikTok-Specific Analysis
| Dimension | Method | Output |
|---|---|---|
| Viral Potential | Trend analysis | Virality score |
| Content Style | Video analysis | Hook patterns |
| Creator Fit | Niche matching | Ideal creators |
| Price Sweet Spot | Impulse buy analysis | Optimal pricing |
| Comment Sentiment | Comment NLP | Pain points |
Progressive Analysis Levels
| Level | Required Data | Unlocked Analysis |
|---|---|---|
| L1 Basic | Product info | Basic comparison |
| L2 Viral | + Competitor content | Viral pattern analysis |
| L3 Engagement | + Comments/reviews | Sentiment analysis |
| L4 Complete | + Sales data | Full strategy & action plan |
Usage
Interactive Mode
python3 scripts/analyzer.py
With Parameters
python3 scripts/analyzer.py '{
"your_product": "Wireless Earbuds",
"competitors": ["shop_id_1", "shop_id_2"],
"category": "Electronics"
}'
Output Example
🎯 TikTok Shop Differentiation Report
Product: Wireless Earbuds
Category: Electronics
Competitors Analyzed: 3
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 COMPETITOR COMPARISON
Attribute | You | Comp A | Comp B | Comp C
─────────────────────────────────────────────────
Price | $25 | $20 | $30 | $18
Affiliate Rate | 15% | 20% | 10% | 25%
Avg Views | 50K | 200K | 30K | 150K
Engagement | 5% | 8% | 3% | 7%
Review Score | 4.5 | 4.2 | 4.6 | 4.0
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔥 VIRAL PATTERNS (top performers)
1. Unboxing ASMR hooks
2. "You need this" format
3. Before/after demos
4. Creator authenticity
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
😤 TOP PAIN POINTS (from comments)
1. 🔴 Battery not as claimed (mentioned 45x)
2. 🔴 Sound quality issues (mentioned 32x)
3. 🟡 Shipping delays (mentioned 28x)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✨ DIFFERENTIATION OPPORTUNITIES
1. ⭐ Honest battery claims (build trust)
2. ⭐ Sound demo in content
3. ⭐ Fast shipping highlight
4. ⭐ Higher affiliate rate for top creators
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📋 ACTION PLAN
Priority | Action | Impact
─────────────────────────────────────────────
HIGH | Create ASMR unboxing | +50% views
HIGH | Partner with nano-creators | +30% sales
MEDIUM | Increase affiliate rate | +20% reach
LOW | Add comparison content | +10% CVR
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 143 lines · 55 tokens per session scan A 57be618bdfd0
product-differentiation-tiktok is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 55 tokens to every session and 958 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.
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