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 swan-gtm/gtm-skills --skill creative-fatigue-detectiongit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/creative-fatigue-detection)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/creative-fatigue-detection"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/creative-fatigue-detection/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/swan-gtm/gtm-skills/creative-fatigue-detection"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/creative-fatigue-detection.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 | $0.00035 | $0.01893 |
| Opus 5.5 | $0.00014 | $0.00757 |
| Sonnet 5.5 | $0.00007 | $0.00379 |
| Haiku 4.5 | $0.00003 | $0.00189 |
Grade A, and why
creative-fatigue-detection 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creative Fatigue Detection & Rotation - B2B SaaS
How to detect when Meta ads are losing effectiveness, when to rotate creative, and how to maintain performance through systematic creative management.
What Creative Fatigue Looks Like
Creative fatigue happens when your audience has seen your ads too many times. The algorithm keeps serving them, but engagement drops and costs rise.
The signals (in order of urgency):
| Signal | Threshold | Urgency |
|---|---|---|
| Frequency > 4.0 (cold) | Immediate action needed | URGENT |
| Frequency > 6.0 (retargeting) | Immediate action needed | URGENT |
| CTR drops 20%+ from baseline over 7 days | Creative dying | WARNING |
| CPM rising 30%+ over 2 weeks | Algorithm struggling to deliver efficiently | WARNING |
| Ad Relevance: "Below Average" in any metric | Quality issue | WARNING |
| CPA increasing with stable targeting | Likely fatigue (after ruling out other causes) | MONITOR |
Frequency Thresholds by Campaign Type
| Campaign Type | Safe | Warning | Critical |
|---|---|---|---|
| Cold prospecting | 1.0-2.5 | 2.5-3.5 | > 4.0 |
| Retargeting | 2.0-4.0 | 4.0-5.5 | > 6.0 |
| ABM | 2.0-5.0 | 5.0-7.0 | > 8.0 |
Why ABM tolerates higher frequency: ABM audiences are small and the message reinforcement is intentional. But even ABM hits a wall - diminishing returns past 5-6 impressions per person per week.
B2B Creative Lifespan
B2B ads lose efficiency slower than B2C/e-commerce, but they still fatigue:
| Creative Type | Typical Lifespan | Why |
|---|---|---|
| Static image | 14-28 days | Seen, registered, scroll past |
| Video (< 30s) | 21-35 days | More engaging, lasts longer |
| Carousel | 21-35 days | Multiple cards = more novelty |
| UGC / testimonial | 28-42 days | Feels authentic, fatigues slower |
B2B vs B2C: B2B audiences are smaller, so frequency builds faster. But B2B users pay less attention to ads (scrolling past work content), so each impression has less impact. Net result: 14-21 day refresh cycle for most B2B campaigns.
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 · 193 lines · 35 tokens per session scan A 89d6f9025a7b
creative-fatigue-detection is a skill published in the GitHub repository swan-gtm/gtm-skills (221 stars, last pushed 8d ago), licensed MIT. It adds 35 tokens to every session and 1,893 once invoked, about $0.0001 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 2026-09-03.
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