drin-churn-risk-identifier

drin-churn-risk-identifier is a skill for Claude Code from pedrol-cmd/brain-drin. It costs 19 tokens per session (194 once invoked), scanned A, original, MIT.

A framework for spotting users who may stop using or paying for a product. It looks at changes in activity, feature use, support requests, and payment results.

In plain words
What is it for?
Use it to identify at-risk users, notify customer-success teams, send value-recap emails, run surveys, and guide retention actions such as training, bug fixes, or discounts.
Why use it?
It helps teams notice possible customer loss before the customer leaves. Earlier warning gives them time to investigate problems and offer relevant help.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to identify at-risk users, notify customer-success teams, send value-recap emails, run surveys, and guide retention actions such as training, bug fixes, or discounts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pedrol-cmd/brain-drin/drin-churn-risk-identifier
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 pedrol-cmd/brain-drin --skill drin-churn-risk-identifier
Clone the repo
git clone --depth 1 https://github.com/pedrol-cmd/brain-drin

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.

agentmods badge for drin-churn-risk-identifier

README.md
[![agentmods](https://agentmods.dev/badge/skills/pedrol-cmd/brain-drin/drin-churn-risk-identifier/github.svg)](https://agentmods.dev/skills/pedrol-cmd/brain-drin/drin-churn-risk-identifier)
Your own site
<a href="https://agentmods.dev/skills/pedrol-cmd/brain-drin/drin-churn-risk-identifier"><img src="https://agentmods.dev/badge/skills/pedrol-cmd/brain-drin/drin-churn-risk-identifier/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 drin-churn-risk-identifier

Your own site · 80×15
<a href="https://agentmods.dev/skills/pedrol-cmd/brain-drin/drin-churn-risk-identifier"><img src="https://agentmods.dev/badge/skills/pedrol-cmd/brain-drin/drin-churn-risk-identifier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 194 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.00194
Opus 5 $0.00010 $0.00097
Sonnet 5 $0.00004 $0.00039
Haiku 4.5 $0.00002 $0.00019

Measured 7d ago against content hash b5ae0fc8821a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

drin-churn-risk-identifier 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 7d 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/drin-churn-risk-identifier/SKILL.md · 23 lines

What it actually says

Churn Risk Identifier

Purpose

To protect revenue by identifying users who are falling out of love with the product before they leave.

Risk Signals

  • Usage Drop: Sudden decrease in login frequency or session duration.
  • Feature Abandonment: Stopping the use of a core sticky feature.
  • Support Volume: Sudden spike (frustration) or sudden silence (apathy).
  • Payment Failures: Leading indicator of credit card rot or intentional non-payment.

Actions

  1. Alert: Automated notification for CSMs.
  2. Outreach: Personalized "Value-recap" email.
  3. Survey: Identifying the specific pain point.
  4. Rescue: Retaining through discounts, training, or bug fixes.
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. 7d ago First seen · 23 lines · 19 tokens per session scan A b5ae0fc8821a

Subscribe to this mod's changes

drin-churn-risk-identifier is a skill published in the GitHub repository pedrol-cmd/brain-drin (11 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 194 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 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens