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-adsgit 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-ads)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/tiktok-shop-ads"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-ads/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-ads"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-ads.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 | $0.01737 |
| Opus 5 | $0.00028 | $0.00869 |
| Sonnet 5 | $0.00011 | $0.00347 |
| Haiku 4.5 | $0.00006 | $0.00174 |
Grade A, and why
tiktok-shop-ads 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Shop Ads 📢
Master TikTok Shop advertising. Campaign setup, bidding optimization, and performance scaling strategies.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-ads -g
Usage Examples
Campaign strategy and setup:
"Set up Product Shopping Ads for my skincare line on TikTok Shop with $2000 budget"
Performance optimization:
"My TikTok Shop ads have low ROAS - help me optimize bidding and targeting"
Campaign scaling:
"Scale my winning TikTok Shop ad campaigns from $500/day to $2000/day"
Core Capabilities
1. Campaign Strategy & Setup
- Ad format selection and campaign structure
- Targeting strategy and audience definition
- Budget allocation and bidding strategies
- Creative requirements and best practices
2. Performance Optimization
- ROAS analysis and improvement tactics
- Bidding strategy optimization
- Audience refinement and expansion
- Creative testing and iteration
3. Scaling & Management
- Campaign scaling methodologies
- Performance monitoring and alerts
- Competitive analysis and positioning
- Attribution and reporting setup
How It Works
Step 1: Campaign Strategy Development
Strategic planning and campaign architecture
Develop advertising strategy:
- Analyze product catalog and identify high-potential items for advertising
- Define campaign objectives (awareness, traffic, conversions, catalog sales)
- Design campaign structure with proper ad group organization
- Establish targeting criteria and audience segments
Step 2: Campaign Setup & Launch
Technical implementation and creative development
Execute campaign deployment:
- Configure campaign settings, budgets, and bidding strategies
- Create compelling ad creatives following TikTok Shop best practices
- Set up proper tracking, attribution, and conversion measurement
- Launch campaigns with appropriate testing methodologies
Step 3: Optimization & Scaling
Performance monitoring and systematic improvement
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 · 223 lines · 57 tokens per session scan A 21d74d5686da
tiktok-shop-ads 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 1,737 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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