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 citedy/adclaw --skill ads-tiktokgit clone --depth 1 https://github.com/citedy/adclawWrote 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/citedy/adclaw/ads-tiktok)<a href="https://agentmods.dev/skills/citedy/adclaw/ads-tiktok"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/ads-tiktok/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/citedy/adclaw/ads-tiktok"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/ads-tiktok.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 | $0.00072 | $0.01677 |
| Opus 5 | $0.00036 | $0.00839 |
| Sonnet 5 | $0.00014 | $0.00335 |
| Haiku 4.5 | $0.00007 | $0.00168 |
Grade A, and why
ads-tiktok 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 10d 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.
This is a copy
95% identical to ads-tiktok — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Ads Deep Analysis
Process
- Collect TikTok Ads data (Ads Manager export, Pixel/Events API status)
- Read
ads-shared/references/tiktok-audit.mdfor full 25-check audit - Read
ads-shared/references/benchmarks.mdfor TikTok-specific benchmarks - Read
ads-shared/references/platform-specs.mdfor creative specifications - Read
ads-shared/references/scoring-system.mdfor weighted scoring algorithm - Evaluate all applicable checks as PASS, WARNING, or FAIL
- Calculate TikTok Ads Health Score (0-100)
- Generate findings report with action plan
What to Analyze
Creative Quality (30% weight)
- ≥6 creatives per ad group (T05) [Critical]
- All video 9:16 vertical 1080x1920 (T06) [Critical]
- Native-looking content, not corporate/polished (T07)
- Hook in first 1-2 seconds (T08)
- No creative active >7 days with declining CTR (T09)
- Spark Ads tested: ~3% CTR vs ~2% standard (T10)
- TikTok Shop integration for e-commerce (T20)
- Video Shopping Ads tested (T21)
- Caption SEO with high-intent keywords (T22)
- Trending audio used (sound-on platform) (T23)
- Custom CTA button, not default (T24)
- Safe zone compliance: X:40-940, Y:150-1470 (T25)
Technical Setup (25% weight)
- TikTok Pixel installed and firing on all pages (T01)
- Events API + ttclid passback active (T02)
- Standard events configured (ViewContent, AddToCart, Purchase, CompleteRegistration)
- Advanced matching parameters configured
Bidding & Budget (20% weight)
- Bid strategy matches goal: Lowest Cost for volume, Cost Cap for efficiency (T11)
- Daily budget ≥50x target CPA per ad group (T12)
- Learning phase: ≥50 conversions per 7 days per ad group (T13)
- No edits during learning phase (resets learning)
Structure & Settings (15% weight)
- Separate campaigns for prospecting vs retargeting (T03)
- Smart+ campaigns tested: 42% adoption, 1.41-1.67 ROAS (T04)
- Search Ads Toggle enabled (T14)
- Placement selection reviewed: TikTok, Pangle, etc. (T15)
- Dayparting aligned with audience activity (T16)
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.
- 10d ago First seen · 158 lines · 72 tokens per session scan A 52a403f79395
ads-tiktok is a skill published in the GitHub repository citedy/adclaw (36 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 72 tokens to every session and 1,677 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to ads-tiktok, differing in 21 lines, and is treated as a copy.
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