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retention-churn-reduction

retention-churn-reduction is a skill for Claude Code, Codex from DiegoVilla27/agents-ai-store. It costs 39 tokens per session (1,039 once invoked), scanned A, original, no licence file.

A set of architectural guidelines for reducing customer churn, meaning customers stopping their subscriptions or purchases. It covers retention, customer groups over time, recurring revenue retention, and efforts to win back former customers.

In plain words
What is it for?
Use it when designing retention programmes, analysing customer cohorts, tracking net revenue retention, or planning lifecycle win-back automation.
Why use it?
It provides a defined framework for planning customer-retention and churn-reduction systems.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 2repo 1mo ago A scan 39 tokens no licence

Good fit Use it when designing retention programmes, analysing customer cohorts, tracking net revenue retention, or planning lifecycle win-back automation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/diegovilla27/agents-ai-store/retention-churn-reduction
View source ↗ DiegoVilla27/agents-ai-store
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 DiegoVilla27/agents-ai-store --skill retention-churn-reduction
Clone the repo
git clone --depth 1 https://github.com/DiegoVilla27/agents-ai-store

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 retention-churn-reduction

README.md
[![agentmods](https://agentmods.dev/badge/skills/diegovilla27/agents-ai-store/retention-churn-reduction/github.svg)](https://agentmods.dev/skills/diegovilla27/agents-ai-store/retention-churn-reduction)
Your own site
<a href="https://agentmods.dev/skills/diegovilla27/agents-ai-store/retention-churn-reduction"><img src="https://agentmods.dev/badge/skills/diegovilla27/agents-ai-store/retention-churn-reduction/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 retention-churn-reduction

Your own site · 80×15
<a href="https://agentmods.dev/skills/diegovilla27/agents-ai-store/retention-churn-reduction"><img src="https://agentmods.dev/badge/skills/diegovilla27/agents-ai-store/retention-churn-reduction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,039 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 unknown 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 $0.00039 $0.01039
Opus 5.5 $0.00016 $0.00416
Sonnet 5.5 $0.00008 $0.00208
Haiku 4.5 $0.00004 $0.00104

Measured 2mo ago against content hash db14a675fd54, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

retention-churn-reduction 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.

digital-marketer/skills/retention-churn-reduction/SKILL.md · 83 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 83 lines · 39 tokens per session scan A db14a675fd54

Subscribe to this mod's changes

retention-churn-reduction is a skill published in the GitHub repository DiegoVilla27/agents-ai-store (2 stars, last pushed 1mo ago), with no licence file. It adds 39 tokens to every session and 1,039 once invoked, about $0.0002 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.

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Related

retention-churn-reduction compared with skills from other repositories

retention-churn-reduction next to 6 skills from other repositories
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