feature-adoption

feature-adoption is a skill for Cursor from pendo-io/cursor-pendo-plugin. It costs 135 tokens per session (2,093 once invoked), scanned A, original, no licence file.

A Pendo-based analysis of how often people use product features and how usage changes over time. It separates frequent users from people who use a feature less.

In plain words
What is it for?
It is for checking feature usage, comparing frequent and infrequent users, and tracking progress during a feature rollout.
Why use it?
It helps teams see whether a feature is being used after release and where usage is weak.

Skill for Cursor

Written for Cursor: shipped in a Cursor plugin.

Part of the pendo-analytics plugin — 4 skills shipped together

Good fit It is for checking feature usage, comparing frequent and infrequent users, and tracking progress during a feature rollout.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pendo-io/cursor-pendo-plugin/feature-adoption
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 pendo-io/cursor-pendo-plugin --skill feature-adoption
Clone the repo
git clone --depth 1 https://github.com/pendo-io/cursor-pendo-plugin

Made for: Cursor.

Or install pendo-analytics, the plugin that ships this one along with the rest of its 4 skills.

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 feature-adoption

README.md
[![agentmods](https://agentmods.dev/badge/skills/pendo-io/cursor-pendo-plugin/feature-adoption/github.svg)](https://agentmods.dev/skills/pendo-io/cursor-pendo-plugin/feature-adoption)
Your own site
<a href="https://agentmods.dev/skills/pendo-io/cursor-pendo-plugin/feature-adoption"><img src="https://agentmods.dev/badge/skills/pendo-io/cursor-pendo-plugin/feature-adoption/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 feature-adoption

Your own site · 80×15
<a href="https://agentmods.dev/skills/pendo-io/cursor-pendo-plugin/feature-adoption"><img src="https://agentmods.dev/badge/skills/pendo-io/cursor-pendo-plugin/feature-adoption.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,093 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 $0.00135 $0.02093
Opus 5.5 $0.00054 $0.00837
Sonnet 5.5 $0.00027 $0.00419
Haiku 4.5 $0.00014 $0.00209

Measured 2mo ago against content hash 75a6a65a45c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature-adoption 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.

plugins/pendo-analytics/skills/feature-adoption/SKILL.md · 167 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 · 167 lines · 135 tokens per session scan A 75a6a65a45c7

Subscribe to this mod's changes

feature-adoption is a skill published in the GitHub repository pendo-io/cursor-pendo-plugin (1 stars, last pushed 3d ago), with no licence file. It adds 135 tokens to every session and 2,093 once invoked, about $0.0005 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.

Related

feature-adoption compared with skills from other repositories

feature-adoption next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
feature-adoptionpendo-io/cursor-pendo-pluginSkill13d agononeA135Cursor
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code