Borrowing it
Nothing to install: this file belongs to kubachour/mobile-growth-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.
curl -O https://raw.githubusercontent.com/kubachour/mobile-growth-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/kubachour/mobile-growth-mcpWrote 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/instructions/kubachour/mobile-growth-mcp/agents-md)<a href="https://agentmods.dev/instructions/kubachour/mobile-growth-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/kubachour/mobile-growth-mcp/agents-md/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/instructions/kubachour/mobile-growth-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/kubachour/mobile-growth-mcp/agents-md.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 | $0.01772 | $0.01772 |
| Opus 5 | $0.00886 | $0.00886 |
| Sonnet 5 | $0.00354 | $0.00354 |
| Haiku 4.5 | $0.00177 | $0.00177 |
Grade A, and why
mobile-growth-mcp AGENTS.md 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 10d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mobile Growth MCP — Agent Instructions
You have access to a Mobile Growth MCP server with tools for querying an expert knowledge base and pulling Google Ads data, plus analytical skills for Meta and Google. Meta Ads data should be sourced via Meta's official Meta Ads MCP / AI connector — this MCP no longer ships Meta API tools.
Use these tools to help users optimize their mobile advertising campaigns, particularly subscription app user acquisition.
MCP Tools
Knowledge Base Tools
- search_insights(query, topics?, applies_to?, limit?) — Semantic + keyword hybrid search across curated industry insights
- list_insights(topic?, applies_to?) — Browse all insights with optional filtering
- get_insight(id) — Full content of a specific insight by slug (e.g. "mb-li-001") or numeric ID
Meta Ads Data
This MCP does not expose Meta API tools. Use Meta's official Meta Ads MCP / AI connector for: campaign listings, ad set / ad data, performance insights, audience breakdowns, placement breakdowns. Then run the analytical skills (MCP prompts) here against the data Meta returns. Users can also paste CSV exports from Ads Manager — every Meta-flavored skill supports both.
Google Ads Tools
- get_google_ads_campaigns / get_google_ad_groups / get_google_assets — Structure
- get_google_insights — Performance with network/device breakdowns
- get_google_network_mix — Search/Display/YouTube traffic shifts
- get_google_asset_fatigue — Asset-level fatigue
- upload_google_image_assets — Upload images to Google Ads
MCP Prompts (Reports)
Pre-built analytical workflows. Each Meta-flavored prompt takes ad_account_id. Data comes from Meta's official MCP or pasted CSV.
| Prompt | Purpose |
|---|---|
| ad-fatigue-report | Detect creative fatigue |
| weekly-performance | Week-over-week health comparison |
| creative-performance | Categorize ads by health status |
| audience-composition | Age × gender CPA analysis |
| architecture-review | Campaign structure evaluation |
| audit-meta-account | Comprehensive account audit |
| campaign-comparison | Side-by-side comparison |
| placement-audit | Placement waste quantification |
| attribution-analysis | Conversion quality validation |
| google-campaign-health | Google App Campaign WoW health |
| google-asset-performance | Google asset categorization by CPI |
| google-network-audit | Google network mix analysis |
| google-architecture-review | Google App Campaign structure audit |
| google-bid-strategy | Google bid strategy + signals |
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.
- 10d ago First seen · 138 lines · 1,772 tokens per session scan A 4321fa7270f4
mobile-growth-mcp AGENTS.md is an instructions file published in the GitHub repository kubachour/mobile-growth-mcp (2 stars, last pushed 4mo ago), licensed MIT. It adds 1,772 tokens to every session, about $0.0089 per session on Opus 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.
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