meta-scaling-calculator

meta-scaling-calculator is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 89 tokens per session (3,662 once invoked), scanned A, original, MIT.

A calculator and planning guide for increasing Meta Ads budgets. It covers budget increments, timing, and the risks of changing campaigns too quickly.

In plain words
What is it for?
Use it to plan budget increases, set a scaling timeline, and assess the risk of losing efficiency while growing a campaign.
Why use it?
It helps avoid performance drops, wasted budget, and campaign relearning when increasing spend. It also helps identify opportunities that may be missed by scaling too slowly.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ad-superpowers plugin — 120 skills, 35 commands, 5 agents, 1 MCP server shipped together

Good fit Use it to plan budget increases, set a scaling timeline, and assess the risk of losing efficiency while growing a campaign.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/meta-scaling-calculator
Install

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.

Any agent
npx skills add Ad-Superpowers/ad-superpowers-plugin --skill meta-scaling-calculator
Clone the repo
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 120 skills, 35 commands, 5 agents, 1 MCP server.

Wrote 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.

agentmods badge for meta-scaling-calculator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-scaling-calculator/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/meta-scaling-calculator)
Your own site
<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.

agentmods 80×15 button for meta-scaling-calculator

Your own site · 80×15
<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>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,662 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 1mo ago against content hash 4a85eacc0592, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

plugin/skills/meta-scaling-calculator/SKILL.md · 476 lines

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

Read the full file on GitHub · 476 lines

Changes

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.

  1. 1mo ago First seen · 476 lines · 89 tokens per session scan A 4a85eacc0592

Subscribe to this mod's changes

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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