留存与参与

留存与参与 is a skill for Claude Code, Codex from t0moon/competitorsmart. It costs 26 tokens per session (1,060 once invoked), scanned A, original, no licence file.

A collection of 47 insights from 29 product leaders about improving user retention and engagement. Retention is whether users keep coming back; engagement is how actively they use a product.

In plain words
What is it for?
Use it when planning retention work, improving engagement, or reviewing why users stop using a product.
Why use it?
It helps identify ways to keep users returning and participating after they first try a product.

Skill for Claude CodeCodex

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

Good fit Use it when planning retention work, improving engagement, or reviewing why users stop using a product.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/t0moon/competitorsmart/57-retention
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 t0moon/competitorsmart --skill 57-retention
Clone the repo
git clone --depth 1 https://github.com/t0moon/competitorsmart

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 留存与参与

README.md
[![agentmods](https://agentmods.dev/badge/skills/t0moon/competitorsmart/57-retention/github.svg)](https://agentmods.dev/skills/t0moon/competitorsmart/57-retention)
Your own site
<a href="https://agentmods.dev/skills/t0moon/competitorsmart/57-retention"><img src="https://agentmods.dev/badge/skills/t0moon/competitorsmart/57-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.

agentmods 80×15 button for 留存与参与

Your own site · 80×15
<a href="https://agentmods.dev/skills/t0moon/competitorsmart/57-retention"><img src="https://agentmods.dev/badge/skills/t0moon/competitorsmart/57-retention.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,060 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 $0.00026 $0.01060
Opus 5 $0.00013 $0.00530
Sonnet 5 $0.00005 $0.00212
Haiku 4.5 $0.00003 $0.00106

Measured 9d ago against content hash bc269fe64f86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

留存与参与 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 9d 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/lenny-pm-skills/57-留存参与-retention/SKILL.md · 105 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. 9d ago First seen · 105 lines · 26 tokens per session scan A bc269fe64f86

Subscribe to this mod's changes

留存与参与 is a skill published in the GitHub repository t0moon/competitorsmart (24 stars, last pushed 4mo ago), with no licence file. It adds 26 tokens to every session and 1,060 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 2026-08-30.