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 kostja94/marketing-skills --skill tiktok-adsgit clone --depth 1 https://github.com/kostja94/marketing-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/kostja94/marketing-skills/tiktok-ads)<a href="https://agentmods.dev/skills/kostja94/marketing-skills/tiktok-ads"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/tiktok-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/kostja94/marketing-skills/tiktok-ads"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/tiktok-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00072 | $0.00699 |
| Opus 5 | $0.00036 | $0.00349 |
| Sonnet 5 | $0.00014 | $0.00140 |
| Haiku 4.5 | $0.00007 | $0.00070 |
Grade A, and why
tiktok-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.
Copies of this mod
2 near-identical copies found in the catalogue:
- tiktok-ads — 100% identical, 0 lines differ
- tiktok-ads — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Ads: TikTok Ads
Guides TikTok Ads setup, creative strategy, and optimization. TikTok excels at younger demographics (18–34) and viral-style video; use when your audience skews young and you have video creative capacity.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Why TikTok
- Demographics: 18–34; Gen Z and younger millennials
- Creative velocity: Short-form; native feel; UGC-style performs well
- Cost: Often lower CPM than Meta for reach
- Engagement: High watch time; sound-on culture
Ad Formats
| Format | Use |
|---|---|
| In-Feed | Native video; 9–15s or longer; primary format |
| TopView | First impression; premium; awareness |
| Spark Ads | Boost organic posts; native; creator partnership |
| Collection | Product catalog; e-commerce |
Creative Best Practices
- Hook (0–3s): Pattern interrupt; question; bold statement
- Vertical: 9:16 for feed; native to platform
- Sound: Music and captions matter; many watch with sound
- UGC-style: Authentic; less polished often outperforms
- First 3 seconds: Determine if they watch
Targeting
| Type | Use |
|---|---|
| Interest | Broad; algorithm-driven |
| Demographics | Age; gender; location |
| Lookalike | Based on converters or engagers |
| Retargeting | Website visitors; video viewers |
Tracking
- TikTok Pixel + Events API: Server-side for better attribution
- UTM: Consistent parameters for cross-platform comparison
Budget & Bidding
- Minimum: Varies by objective
- Bidding: Start manual; switch to automated with conversion volume
- Creative volume: Plan for high refresh cadence; creative is main lever
Pre-Launch Checklist
- Pixel installed; Events API configured
- Vertical video creative (9:16)
- Hook in first 3 seconds
- Captions included
- Conversion events defined
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 · 72 lines · 72 tokens per session scan A 420671e2af32
tiktok-ads is a skill published in the GitHub repository kostja94/marketing-skills (967 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 699 once invoked, about $0.0004 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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