A framework for studying whether customers continue receiving value from a product over time. It brings together cohorts, customer changes, engagement, recurring value, churn, returning customers, and health signals.

Use it to analyze customer retention, connect cohort and engagement views, examine churn and returning customers, and assess customer-health signals.

It helps distinguish whether retention changed, how it changed, and which evidence is still missing before proposing an intervention.

retention — Skill for Codex by krillinai/growth-skills

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 krillinai/growth-skills --skill retention

Clone the repo

git clone --depth 1 https://github.com/krillinai/growth-skills

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/krillinai/growth-skills/retention/github.svg)](https://agentmods.dev/skills/krillinai/growth-skills/retention)

Your own site

<a href="https://agentmods.dev/skills/krillinai/growth-skills/retention"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/retention/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/krillinai/growth-skills/retention"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/retention.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,432 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00031	$0.01432
Opus 5.5	$0.00012	$0.00573
Sonnet 5.5	$0.00006	$0.00286
Haiku 4.5	$0.00003	$0.00143

Measured 2mo ago against content hash 046e8cb92dc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

retention 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.

skills/retention/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Retention & Customer Health

Reuse Growth Context

At the start, read .agents/growth-context.md when it exists. Reuse only product, customer, market, outcome, constraint, evidence, and routing fields whose scope, definition, source, and date remain compatible; state what is reused and surface conflicts or staleness before asking for decision-changing gaps. The file grants no system access or execution authority, and this Skill must not silently rewrite the primary diagnosis.

Integrated Capabilities

This Skill consolidates adjacent workflows behind one trigger. Use the main workflow for core requests. When a request matches a module below, read that module before executing it:

Determine whether a defined cohort continues receiving recurring value at the product's natural opportunity. Work from supplied data or attributable public context. Private product, billing, CRM, support, or analytics data is optional; mark missing or declined inputs unavailable, never as failure.

Read retention-contract.md for intake, evidence, metric contracts, privacy, and output requirements. Read analysis-methods.md before calculating or comparing cohorts, growth accounting, resurrection, account retention, GRR, or NRR. Read intervention-design.md for recurring-value diagnosis, churn mechanisms, lifecycle states, and intervention design. Use playbook-sources.md to cite the pinned Growth Playbook basis.

Select One Mode

Mode	Use
`analysis`	Define or calculate retention, cohorts, growth accounting, survival, resurrection, or commercial retention
`diagnosis`	Explain an observed retention symptom through bounded recurring-value, activation, reliability, need, commercial, or mix hypotheses
`design`	Design a retention intervention and validation plan for a supported mechanism and eligible cohort

Read the full file on GitHub · 90 lines

Files

What ships with it

30 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2mo ago First seen · 90 lines · 31 tokens per session scan A 046e8cb92dc1

Subscribe to this mod's changes

retention is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 1,432 once invoked, about $0.0001 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 2026-09-03.

Analytics and metrics

retention next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
retentionkrillinai/growth-skills	Skill	43	2mo ago	MIT	A	31	Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code