What is ads-budget-review?

An advertising budget and bidding review for Spanish clients using Google, Meta, and TikTok campaigns.

It reviews platform and campaign performance, then produces a list of campaigns to stop and a list to scale.

It turns campaign performance data into decisions about where to keep, reduce, or increase ad spending.

How Pauesome/Paid-Media-MCP configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Pauesome/Paid-Media-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Pauesome/Paid-Media-MCP/main/.claude/skills/ads-budget-review/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Pauesome/Paid-Media-MCP

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/pauesome/paid-media-mcp/ads-budget-review/github.svg)](https://agentmods.dev/skills/pauesome/paid-media-mcp/ads-budget-review)

Your own site

<a href="https://agentmods.dev/skills/pauesome/paid-media-mcp/ads-budget-review"><img src="https://agentmods.dev/badge/skills/pauesome/paid-media-mcp/ads-budget-review/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/pauesome/paid-media-mcp/ads-budget-review"><img src="https://agentmods.dev/badge/skills/pauesome/paid-media-mcp/ads-budget-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,271 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.

Model	Per session	Once invoked
Fable 5.1	$0.00092	$0.01271
Opus 5.5	$0.00037	$0.00508
Sonnet 5.5	$0.00018	$0.00254
Haiku 4.5	$0.00009	$0.00127

Measured 2mo ago against content hash 0b0730da8639, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ads-budget-review 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 2mo 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.

.claude/skills/ads-budget-review/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Budget & Bidding Review — Spain

All thresholds come from .claude/references/benchmarks-spain.md.

Required Inputs

client_id — resolved via list_clients
date_range_start / date_range_end — default last 14 days; minimum 14 for kill/scale decisions.
Fail fast on missing input.

Data Collection

Pull in parallel (only for platforms the client has configured):

get_google_ads_campaign_performance — campaign-level spend, CPA, ROAS, bid strategy
get_google_ads_impression_share — budget-lost IS for scale decisions
get_meta_campaign_performance — campaign spend, CPA, ROAS
get_tiktok_campaign_performance — campaign spend, CPA, ROAS

Derive spend share, blended CPA/ROAS, and per-platform totals from these results.

Framework

70 / 20 / 10 Rule

70% Proven — platforms hitting ROAS/CPA target for ≥ 14 days
20% Scaling — platforms showing promise, need more data
10% Testing — new platforms or strategies

Platform Selection Matrix

Business type	Primary	Secondary	Testing
SaaS B2B	Google Search	Meta	TikTok
E-commerce	Google Shopping, Meta	TikTok	YouTube
Local Service (Spain)	Google Search, Google LSA	Meta	TikTok
Info Products	Meta, TikTok	Google Search	YouTube
Wellness / Salud	Google Search	Meta	TikTok
Fashion / Beauty / Food (D2C)	Meta, TikTok	Google Shopping	YouTube

Infer business type from the account name/config; ask the user only if truly ambiguous (otherwise pick best guess and flag it in output).

Budget Sufficiency (EUR/day)

Refer to benchmarks-spain.md for thresholds. Flag any campaign below the platform minimum as Critical — learning phase cannot exit.

Bidding Strategy Decision Trees

Google

<30 conv/mo        → Maximize Clicks (cap at avg CPC benchmark)
30–50 conv/mo      → Maximize Conversions
>50 conv/mo        → Target CPA
>50 + revenue tag  → Target ROAS

Flag any campaign still on ECPC (deprecated March 2025) — FAIL.

Read the full file on GitHub · 142 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.

2mo ago First seen · 142 lines · 92 tokens per session scan A 0b0730da8639

Subscribe to this mod's changes

ads-budget-review is a skill published in the GitHub repository Pauesome/Paid-Media-MCP (2 stars, last pushed 4mo ago), licensed MIT. It adds 92 tokens to every session and 1,271 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 2026-08-31.

Marketing and SEO

ads-budget-review next to 6 skills from other repositories
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playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
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next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

Paid-Media-MCP: Skill for Claude Code