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 meta-scaling-calculatorgit 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/meta-scaling-calculator)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/meta-scaling-calculator"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-scaling-calculator/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/meta-scaling-calculator"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-scaling-calculator.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 | $0.00089 | $0.03662 |
| Opus 5.5 | $0.00036 | $0.01465 |
| Sonnet 5.5 | $0.00018 | $0.00732 |
| Haiku 4.5 | $0.00009 | $0.00366 |
Grade A, and why
meta-scaling-calculator 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 — 476 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaling Calculator
Overview
This skill helps calculate optimal scaling strategies for Meta Ads, including budget increases, timelines, and risk assessment to maintain performance during growth.
Scaling Fundamentals
Why Scaling Is Difficult
┌─────────────────────────────────────────────────────────────────┐
│ THE SCALING DILEMMA │
│ │
│ Scaling too fast: │
│ ├── Learning phase reset │
│ ├── CPA spike from algorithm adjustments │
│ ├── Audience exhaustion │
│ └── Budget waste │
│ │
│ Scaling too slow: │
│ ├── Missed revenue opportunity │
│ ├── Competitor gains ground │
│ ├── Seasonal opportunities missed │
│ └── Inefficient growth │
│ │
│ Sweet spot: 15-20% budget increase per 3-4 days │
│ as long as performance stays stable │
└─────────────────────────────────────────────────────────────────┘
The 20% Rule
META'S RECOMMENDED SCALING:
==========================
Budget increases up to 20% do NOT trigger a learning phase reset.
Example:
├── Day 1: $50/day
├── Day 4: $60/day (+20%)
├── Day 7: $72/day (+20%)
├── Day 10: $86/day (+20%)
└── Day 13: $103/day (+20%)
After 2 weeks: Budget doubled without learning phase reset!
Scaling Readiness Check
Pre-Scaling Checklist
BEFORE YOU SCALE - VALIDATE:
==============================
□ PERFORMANCE STABILITY
├── CPA stable last 7 days? (variation <15%)
├── Sufficient conversions? (>50 per week)
├── Positive ROAS above target?
└── Ready if: All 3 checks positive
□ AUDIENCE HEADROOM
├── Current frequency <2.5?
├── Audience size >10x daily budget?
├── Reach still has growth potential?
└── Ready if: All 3 checks positive
□ CREATIVE STRENGTH
├── CTR stable or rising?
├── At least 3-5 active creatives?
├── No creative fatigue signals?
└── Ready if: All 3 checks positive
□ TECHNICAL READINESS
├── Pixel/CAPI working correctly?
├── No delivery issues?
├── Budget cap not reached?
└── Ready if: All 3 checks positive
SCALING GO/NO-GO:
├── 12/12 checks: GO - Scale aggressively
├── 9-11 checks: CAUTIOUS - Scale conservatively
├── 6-8 checks: PREPARE - Fix issues first
└── <6 checks: NO-GO - Do not scale
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 · 476 lines · 89 tokens per session scan A 4a85eacc0592
meta-scaling-calculator is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 89 tokens to every session and 3,662 once invoked, about $0.0004 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.
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