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 linkfox-ai/linkfox-skills --skill linkfox-chuhaijiang-tiktok-adsgit clone --depth 1 https://github.com/linkfox-ai/linkfox-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/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-ads)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-ads"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-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/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-ads"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00158 | $0.02516 |
| Opus 5.5 | $0.00063 | $0.01006 |
| Sonnet 5.5 | $0.00032 | $0.00503 |
| Haiku 4.5 | $0.00016 | $0.00252 |
Grade A, and why
linkfox-chuhaijiang-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 1mo 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Ad & Creative Intelligence
Use this skill to discover public TikTok ads and creative assets, inspect one result, connect an ad to promoted products, or analyze a creative's content structure.
Core Concepts
- This is public-market intelligence, not the user's private TikTok Ads account or campaign manager.
- All five endpoints require a lowercase marketplace code:
br,de,es,fr,gb,id,it,jp,mx,my,ph,sg,th,us,vn. - Search and related-product endpoints return at most 10 records per page.
- Use the top-level item
idreturned by ad search with ad detail/related-products, and theidreturned by creative search with creative detail. Do not substitutevideo_id,product_id, oradvertiser_id. - Ad detail accepts optional
include=core. Creative detail acceptsinclude=analysis,include=embedding, or both as a comma-separated string. - Monetary metrics are commonly objects such as
{ "unit": "US", "value": 31 }. Preserve both fields and inspect runtime types before calculating. - Each endpoint is billed independently. Do not make an unrequested detail or relationship call after search, and do not repeat a failed/empty search with altered filters without user approval.
Data Fields
| Path or field | Meaning |
|---|---|
data.total_count |
Total records matched by the endpoint |
data.items |
Primary ad, creative, or related-product records |
data.core.items |
Optional ad performance metrics requested with include=core |
data.analysis.items |
Optional creative hook/formula/angle, transcript, and storyboard analysis |
data.embedding.items |
Optional extracted content, matched tags, and embedding vector |
id |
Endpoint lookup ID for the matching detail/relationship calls |
ad_title, advertiser_name, ad_url, web_url |
Ad identity and public links |
video_play_count, video_like_count, video_engagement_rate |
Creative reach and engagement |
total_gmv, video_30d_gmv, video_total_gmv |
Returned commerce metrics; usually unit/value objects |
product_id, product_name / product_title |
Promoted product identity and title |
What ships with it
8 files 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.
- references/api.md 14 KB
- references/onboarding.md 2.0 KB
- scripts/chuhaijiang_ad_detail.py 13 KB runs code
- scripts/chuhaijiang_ad_related_products.py 13 KB runs code
- scripts/chuhaijiang_ad_search.py 13 KB runs code
- scripts/chuhaijiang_creative_detail.py 13 KB runs code
- scripts/chuhaijiang_creative_search.py 13 KB runs code
- scripts/onboarding.py 24 KB runs code
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.
- 1mo ago First seen · 133 lines · 158 tokens per session scan A e199e5cc6bf8
linkfox-chuhaijiang-tiktok-ads is a skill published in the GitHub repository linkfox-ai/linkfox-skills (109 stars, last pushed 2d ago), licensed MIT. It adds 158 tokens to every session and 2,516 once invoked, about $0.0006 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 2026-09-15.
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