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-listing-optimizationgit 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-listing-optimization)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/tiktok-shop-listing-optimization"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-listing-optimization/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-listing-optimization"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-listing-optimization.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 | $0.00057 | $0.01680 |
| Opus 5 | $0.00028 | $0.00840 |
| Sonnet 5 | $0.00011 | $0.00336 |
| Haiku 4.5 | $0.00006 | $0.00168 |
Grade A, and why
tiktok-shop-listing-optimization 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Shop Listing Optimization 📝
Optimize product listings for maximum visibility and conversions on TikTok Shop search.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-listing-optimization -g
Usage Examples
Complete listing optimization:
"Optimize my wireless earbuds listing for TikTok Shop search and conversions"
Title and description improvement:
"My product titles aren't getting found in TikTok Shop search - help me optimize them"
Visual content enhancement:
"What images and videos do I need for a high-converting TikTok Shop product listing?"
Core Capabilities
1. Search Optimization (SEO)
- TikTok Shop keyword research and integration
- Title optimization for search visibility
- Category selection and attribute mapping
- Hashtag strategy for product discovery
2. Conversion Optimization (CRO)
- Persuasive product descriptions
- Visual content strategy and requirements
- Price positioning and promotional tactics
- Social proof and review optimization
3. Content Strategy Integration
- Product listing to content alignment
- Video demonstration planning
- User-generated content incorporation
- Cross-platform content consistency
4. Competitive Analysis
- Competitor listing analysis
- Best practice identification
- Market gap opportunities
- Pricing and positioning insights
How It Works
Step 1: Keyword Research & Strategy
Identify high-impact search terms and optimization opportunities
Analyze search landscape:
- Research TikTok Shop search terms and trending keywords
- Analyze competitor listings and successful products
- Identify keyword gaps and opportunities
- Develop keyword integration strategy for titles and descriptions
Step 2: Content Optimization & Creation
Create compelling listing content that converts
Optimize listing elements:
- Craft search-optimized titles with primary keywords
- Write persuasive descriptions highlighting key benefits
- Plan visual content strategy (images, videos, demonstrations)
- Select optimal product categories and attributes
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 · 224 lines · 57 tokens per session scan A 02a43bc2cf15
tiktok-shop-listing-optimization is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 57 tokens to every session and 1,680 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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