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 naveedharri/benai-skills --skill ads-tiktokgit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/ads-tiktok)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/ads-tiktok"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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/naveedharri/benai-skills/ads-tiktok"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-tiktok.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00078 | $0.01683 |
| Opus 5 | $0.00039 | $0.00842 |
| Sonnet 5 | $0.00016 | $0.00337 |
| Haiku 4.5 | $0.00008 | $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 12d 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:
- ads-tiktok — 100% identical, 0 lines differ
- ads-tiktok — 95% identical, 21 lines differ
How it starts
The opening of the file, as written. The whole thing — 163 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/references/tiktok-audit.mdfor full 25-check audit - Read
ads/references/benchmarks.mdfor TikTok-specific benchmarks - Read
ads/references/platform-specs.mdfor creative specifications - Read
ads/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.
- 12d ago First seen · 163 lines · 78 tokens per session scan A 318cca8580b8
ads-tiktok is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 1,683 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 2026-08-30.
Other skills, from other repositories
project
A single starting point for setting up an AI-assisted project in Claude Cowork. It asks questions about the work, reviews available add-ons, and creates project instructions, custom agents, and connected workflows.
doc-html-slide
A renderer that turns presentation content into a single HTML slide deck that opens directly in a browser. It creates a 16:9 slide sequence with navigation, fullscreen viewing, printing to PDF, and speaker-note controls.
cs-channel-message
A channel-message writing tool for search ads, advertising, customer relationship messages, and app notifications. It uses the NCM sequence—Need, Channel, Moment, Message, and CTA—to adapt wording to where and when customers see it.
design-sync-upload
An uploader for design-system files such as DESIGN.md, tokens, logos, fonts, and images into Claude Design. It can either use an authenticated connection or prepare a folder and guide for manual upload.
design-tokens-transformer
A converter for design tokens, which are named values for colors, fonts, spacing, borders, shadows, and motion. It translates one shared token source into CSS variables and Tailwind or shadcn-style theme files, and can convert them back for checking.
media-higgsfield-explainer
A Higgsfield workflow for making non-photorealistic narrated explainer videos. It pairs each narration line with a 10-second animated clip and joins the clips into one finished video.