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tiktok-ads-research

tiktok-ads-research is a skill for Claude Code, Codex from ad-vertly/adextract-mcp-server. It costs 54 tokens per session (284 once invoked), scanned A, original, MIT.

A research workflow for studying short videos in TikTok Ads Library, TikTok's collection of advertising creatives.

In plain words
What is it for?
It helps research competitor adverts, user-generated-content style, video structures, audience assumptions, and concrete creative tests.
Why use it?
It helps compare the opening hooks, creator style, offers, and calls to action used by competing short-form adverts instead of judging one video in isolation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 0repo yesterday A scan 54 tokens original MIT

Good fit It helps research competitor adverts, user-generated-content style, video structures, audience assumptions, and concrete creative tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-vertly/adextract-mcp-server/tiktok-ads-research
View source ↗ ad-vertly/adextract-mcp-server adextract.co
Install

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.

Any agent
npx skills add ad-vertly/adextract-mcp-server --skill tiktok-ads-research
Clone the repo
git clone --depth 1 https://github.com/ad-vertly/adextract-mcp-server

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for tiktok-ads-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/tiktok-ads-research/github.svg)](https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/tiktok-ads-research)
Your own site
<a href="https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/tiktok-ads-research"><img src="https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/tiktok-ads-research/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.

agentmods 80×15 button for tiktok-ads-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/tiktok-ads-research"><img src="https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/tiktok-ads-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 284 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.00284
Opus 5.5 $0.00022 $0.00114
Sonnet 5.5 $0.00011 $0.00057
Haiku 4.5 $0.00005 $0.00028

Measured yesterday against content hash e777b87e7eb0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tiktok-ads-research 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 yesterday.

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.

plugins/adextract/skills/tiktok-ads-research/SKILL.md · 34 lines

What it actually says

TikTok Ads Research

When to use

Use this skill for TikTok Ads Library research where hooks, creator style, short-form video structure, trend fit, and direct response patterns matter.

Tool workflow

  1. Search advertisers with search_tiktok_advertisers when advertiser identity is unclear.
  2. Search creatives with search_tiktok_ads using the brand, competitor, product, or category query.
  3. Use get_tiktok_ad_details for targeting, audience size, and creative details on promising ads.
  4. Use ad_reader on thumbnails or media URLs before describing visual strategy.

Research defaults

  • Prioritize hook, opening frame, creator style, offer, and CTA.
  • Treat signed TikTok media URLs as fragile; use thumbnails when media URLs expire.
  • Compare multiple ads before calling something a repeatable pattern.
  • Separate organic-looking UGC from polished brand creative.

Output

Return hook patterns, creator or production style, offer framing, emotional driver, audience assumptions, CTA patterns, and 3-5 concrete creative tests.

Changes

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.

  1. yesterday First seen · 34 lines · 54 tokens per session scan A e777b87e7eb0

Subscribe to this mod's changes

tiktok-ads-research is a skill published in the GitHub repository ad-vertly/adextract-mcp-server (0 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 284 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-11-06.

Creative and mediaMarketing and SEOad-intelligencead-libraryad-spyai-agentscompetitive-intelligencegoogle-ads
Related

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tiktok-ads-research next to 6 skills from other repositories
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tiktok-ads-researchad-vertly/adextract-mcp-serverSkill0yesterdayMITA54Claude Code, Codex
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adsericrisco/rsc-harnessSkill5032d agoMITA81Claude Code, Codex
web-research-workflowyonatangross/orchestkitSkill299yesterdayMITA72Claude Code
google-adsVKirill/claude-lane-stackSkill1248d agoMITA369Claude Code