knowledge-base

knowledge-base is a cursor rule for Cursor from kubachour/mobile-growth-mcp. It costs 27 tokens per session (810 once invoked), scanned A, original, MIT.

A set of rules for using a curated knowledge base about mobile advertising, especially subscription apps and user acquisition.

In plain words
What is it for?
Use it to find and cite guidance on campaign structure, optimization, creative strategy, and related mobile-advertising topics.
Why use it?
It tells an agent which knowledge-base search or lookup to use when answering advertising strategy questions.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/kubachour/mobile-growth-mcp/knowledge-base
Clone the repo
git clone --depth 1 https://github.com/kubachour/mobile-growth-mcp

Made for: Cursor.

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 knowledge-base

README.md
[![agentmods](https://agentmods.dev/badge/rules/kubachour/mobile-growth-mcp/knowledge-base.svg)](https://agentmods.dev/rules/kubachour/mobile-growth-mcp/knowledge-base)
Your own site
<a href="https://agentmods.dev/rules/kubachour/mobile-growth-mcp/knowledge-base"><img src="https://agentmods.dev/badge/rules/kubachour/mobile-growth-mcp/knowledge-base.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 810 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00027 $0.00810
Opus 5 $0.00014 $0.00405
Sonnet 5 $0.00005 $0.00162
Haiku 4.5 $0.00003 $0.00081

Measured 4d ago against content hash e3f9ff82c7ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

knowledge-base 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 4d 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.

.cursor/rules/knowledge-base.mdc · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using the Knowledge Base

The knowledge base contains curated insights from industry experts about mobile advertising, focused on subscription apps and user acquisition across Meta, Google, and TikTok.

Tools

search_insights

Semantic + keyword hybrid search. Best for specific questions.

search_insights(query="how to structure Meta campaigns for subscription apps", topics=["campaign_architecture"], limit=5)

list_insights

Browse everything. Good for seeing what's available.

list_insights(topic="creative_strategy")

get_insight

Read the full content of a specific insight by slug.

get_insight(id="mb-li-002")

When to Use

  • User asks "how should I..." or "what are best practices for..." → search_insights
  • User asks about a specific insight ID → get_insight
  • User wants to browse what's available → list_insights
  • Running a report and need to cite recommendations → get_insight for the specific IDs

Key Insight IDs to Know

These are the most frequently referenced insights across reports:

ID Author Topic
wk-tw-001 William Kast 4 diagnostic metric patterns
wk-tw-002 William Kast ROAS troubleshooting decision tree
ds-pt-001 Dara Saeed Primary vs secondary metrics
ds-pt-003 Dara Saeed Frequency >5 = saturation
ds-pt-004 Dara Saeed Don't force spend to low-spend winners
ds-pt-005 Dara Saeed ASC needs 20+ creatives
ds-pt-008 Dara Saeed Analyze first, optimize second
mb-li-001 Marcus Burke Creative unlocks scale
mb-li-002 Marcus Burke Deconsolidation
mb-li-003 Marcus Burke Signal quality > volume
mb-li-005 Marcus Burke One price = one audience
mb-li-006 Marcus Burke App vs Web campaign demographics
mb-li-008 Marcus Burke Value Rules (age/gender)
mb-li-009 Marcus Burke Placement Value Rules
mb-li-010 Marcus Burke Age-based conversion rates
mb-cd-001 Marcus Burke EAC for subscription apps
oh-li-001 Olly Hudson Andromeda: first 3 seconds matter
oh-li-003 Olly Hudson Persona-based ads unlock audiences
lp-pt-001 Lauren Petrullo 25% visual difference required
lp-pt-002 Lauren Petrullo Minimum 6 creatives per offering
lp-pt-003 Lauren Petrullo Contribution vs attribution
jl-pt-004 Jon Loomer Don't kill ads if aggregate is good
vs-nt-001 Virendra Shekhawat Meta auto-shifts spend
vs-nt-002 Virendra Shekhawat Don't re-test degraded creatives
br-li-001 Ben Radack CBO scaling with winner rotation
br-li-002 Ben Radack Zombie campaign

Read the full file on GitHub · 78 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. 4d ago First seen · 78 lines · 27 tokens per session scan A e3f9ff82c7ee

Subscribe to this mod's changes

knowledge-base is a cursor rule published in the GitHub repository kubachour/mobile-growth-mcp (2 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 810 once invoked, about $0.0001 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.