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 Ad-Superpowers/ad-superpowers-plugin --skill tiktok-creative-fatigue-trackergit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/ad-superpowers/ad-superpowers-plugin/tiktok-creative-fatigue-tracker)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/tiktok-creative-fatigue-tracker"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/tiktok-creative-fatigue-tracker/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/ad-superpowers/ad-superpowers-plugin/tiktok-creative-fatigue-tracker"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/tiktok-creative-fatigue-tracker.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 | $0.00114 | $0.03578 |
| Opus 5.5 | $0.00046 | $0.01431 |
| Sonnet 5.5 | $0.00023 | $0.00716 |
| Haiku 4.5 | $0.00011 | $0.00358 |
Grade A, and why
tiktok-creative-fatigue-tracker 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 — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Creative Fatigue Tracker
Purpose
Detect and prevent creative fatigue on TikTok Ads. TikTok's novelty-driven algorithm causes ads to fatigue 4x faster than Meta (3-7 days vs 14 days). This skill helps identify early warning signs and provides actionable refresh strategies.
The Critical Difference: TikTok vs Meta
┌─────────────────────────────────────────────────────────────────────────────┐
│ CREATIVE FATIGUE: TIKTOK vs META │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ TIKTOK ADS META ADS │
│ ────────── ───────── │
│ │
│ Fatigue onset: ~3-7 days Fatigue onset: ~14 days │
│ CTR decline: Cliff (-20-25%/day) CTR decline: Gradual (-2%/day) │
│ CPM rise: Sudden (+5-10%/day) CPM rise: Slow (+1-3%/day) │
│ │
│ ┌──────────────────────┐ ┌──────────────────────┐ │
│ │ DAY 1-2: Learning │ │ DAY 1-7: Learning │ │
│ │ DAY 2-4: Peak │ │ DAY 7-10: Peak │ │
│ │ DAY 4-7: Decline │ │ DAY 10-14: Decline │ │
│ │ DAY 7+: Severe │ │ DAY 14+: Fatigue │ │
│ └──────────────────────┘ └──────────────────────┘ │
│ │
│ Refresh: Every 3-5 days Refresh: Every 7-14 days │
│ Creatives needed: 8-12 per campaign Creatives needed: 4-6 per ad set │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
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 · 378 lines · 114 tokens per session scan A 1786064bc95b
tiktok-creative-fatigue-tracker is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 114 tokens to every session and 3,578 once invoked, about $0.0005 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 2026-09-11.
Other skills, from other repositories
analytics
Growth analytics authority — GA4 event tracking, conversion funnels, attribution models, cohort analysis, A/B testing, Supabase analytics queries, and revenue reporting patterns.
creative-generate
A workflow for creating advertising images and banners from a strategy brief. It separates the main visual artwork from the accurately typeset text and produces variants for display or social formats.
cro-optimizer
CRO specialist that pulls live analytics data via the Humblytics MCP, analyzes conversion funnels, identifies drop-off points, and generates prioritized A/B test hypotheses. Use when analyzing conversion rates, diagnosing funnel leaks, optimizing signup flows, or creating test roadmaps. Triggers: CRO, conversion rate…
learn
Save a marketing diagnosis insight to the pro-diagnosis knowledge base so it is applied in future operations across all platforms. Use when the user runs /learn, explicitly teaches the agent a marketing insight, corrects the agent's analysis, or asks to remember/record an operational learning for next time. Also use…
lead-form-create
Create a Meta Instant Form (Lead Ad form) through a one-question-at-a-time interview. Use when the user asks to create a lead form, Instant Form, CV form, or similar. The agent collects required parameters via a guided dialogue, confirms, then calls metaadsleadformscreate. Also use when the user asks in Japanese…
ai-hive-simulate-dn-samuel
A research and content-planning workflow that studies DN-Samuel's public material and turns its general methods into original work using your own facts and experience. It can also organise authorised documents into a source-linked reference library.