network-effects

network-effects is a skill for Claude Code, Codex from Ingramradical235/anty-framework. It costs 75 tokens per session (1,345 once invoked), scanned A, a copy of network-effects, MIT.

A strategy framework for products whose value grows as more people use them, such as marketplaces, social networks, and communities. It covers early network formation, growth, limits, and competition.

In plain words
What is it for?
Defining the smallest useful user group, diagnosing cold-start and growth-ceiling problems, and evaluating network-based growth.
Why use it?
It helps explain why a network product struggles to get started, spread across users, or keep growing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 skills/ingramradical235/anty-framework/network-effects
Any agent
npx skills add Ingramradical235/anty-framework --skill network-effects
Clone the repo
git clone --depth 1 https://github.com/Ingramradical235/anty-framework

Made for: Claude Code, Codex.

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 network-effects

README.md
[![agentmods](https://agentmods.dev/badge/skills/ingramradical235/anty-framework/network-effects.svg)](https://agentmods.dev/skills/ingramradical235/anty-framework/network-effects)
Your own site
<a href="https://agentmods.dev/skills/ingramradical235/anty-framework/network-effects"><img src="https://agentmods.dev/badge/skills/ingramradical235/anty-framework/network-effects.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,345 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00075 $0.01345
Opus 5 $0.00037 $0.00673
Sonnet 5 $0.00015 $0.00269
Haiku 4.5 $0.00007 $0.00135

Measured 5d ago against content hash fa11d5ae89d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

network-effects 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 5d 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.

Origin

This is a copy

100% identical to network-effects — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/network-effects/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Network Effects Strategy

When to Apply

  • Product's value increases with more users (network-effect products)
  • Marketplace, social, or community products
  • When evaluating viral growth potential
  • Cold start problems (chicken-and-egg)
  • Growth ceiling diagnosis

Core Framework

Atomic Network Definition

The smallest group where the product becomes self-sustaining. Define during onboarding:

"Does your product's value increase as more people use it?"
-> YES:
  "Let's define your Atomic Network — the smallest self-sustaining group.

   Reference thresholds:
   Slack: 3 people + 2,000 messages = 93% long-term retention
   Zoom: 2 people (smallest possible)
   Airbnb: 300 listings + 100 reviewed per city
   Uber: 15-20 concurrent drivers, ETA < 3 min per city
   Tinder: 20,000 users in a single market

   What is the minimum unit for YOUR product?
   How many users in one [team/city/community] make it work?"

Finding the threshold: Plot network size (X) vs engagement metric (Y). Look for the inflection point ("kink") where engagement spikes. Everything before the kink is anti-network-effect territory.

Anti-Peanut-Buttering

"Do NOT spread across segments until atomic network is achieved in the first one. Density > breadth."

Concentrating resources in one segment to achieve critical mass beats thinly spreading across many.

"Zero" Tracking

A "zero" = the product's core value cannot be fulfilled because the network is too sparse:

  • No drivers available
  • No listings for a search
  • AI gives generic recommendation

Track zero rates per segment. Users who get "zeroed" churn AND don't return — the damage persists.

Escape Velocity — 3-Force Decomposition

Once atomic network is established, track three independent growth forces:

Force Key Metric Benchmark
Engagement DAU/MAU ratio, D30 retention DAU/MAU > 50%, D30 > 15-20%
Acquisition Viral factor 0.5 = 2x amp, 0.7 = 3.3x, 0.95 = 20x, >1.0 = explosive
Economic CAC trend + LTV trend Both improving simultaneously

Read the full file on GitHub · 124 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. 5d ago First seen · 124 lines · 75 tokens per session scan A fa11d5ae89d5

Subscribe to this mod's changes

network-effects is a skill published in the GitHub repository Ingramradical235/anty-framework (1 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 1,345 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to network-effects, differing in 0 lines, and is treated as a copy.

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