add-analytics-instrumentation

add-analytics-instrumentation is a skill for Claude Code from amplitude/mcp-marketplace. It costs 173 tokens per session (1,561 once invoked), scanned A, original, MIT.

A workflow for planning analytics tracking across a pull request, branch, file, directory, or feature. Analytics tracking records user or system events so their behaviour can be measured.

In plain words
What is it for?
Use it to produce a concrete tracking plan for a code change or product flow, including the events that should be recorded.
Why use it?
It reads the relevant code and identifies which events should be tracked, reducing the guesswork involved in planning instrumentation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the amplitude plugin — 37 skills shipped together

not rated 35repo +1 3d ago A scan Socket: passSnyk: passSkillSpector: pass 173 tokens original MIT

Good fit Use it to produce a concrete tracking plan for a code change or product flow, including the events that should be recorded.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amplitude/mcp-marketplace/add-analytics-instrumentation
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 amplitude/mcp-marketplace --skill add-analytics-instrumentation
Clone the repo
git clone --depth 1 https://github.com/amplitude/mcp-marketplace

Made for: Claude Code.

Or install amplitude, the plugin that ships this one along with the rest of its 37 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 add-analytics-instrumentation

README.md
[![agentmods](https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/add-analytics-instrumentation/github.svg)](https://agentmods.dev/skills/amplitude/mcp-marketplace/add-analytics-instrumentation)
Your own site
<a href="https://agentmods.dev/skills/amplitude/mcp-marketplace/add-analytics-instrumentation"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/add-analytics-instrumentation/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 add-analytics-instrumentation

Your own site · 80×15
<a href="https://agentmods.dev/skills/amplitude/mcp-marketplace/add-analytics-instrumentation"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/add-analytics-instrumentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 173 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,561 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
  • Socket pass 31 Mar 2026
  • Snyk pass 31 Mar 2026
  • 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00173 $0.01561
Opus 5 $0.00086 $0.00781
Sonnet 5 $0.00035 $0.00312
Haiku 4.5 $0.00017 $0.00156

Measured 12d ago against content hash 8e3648a6f45a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

add-analytics-instrumentation 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 12d 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/amplitude/skills/add-analytics-instrumentation/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

add-analytics-instrumentation

You are the orchestrator for the analytics instrumentation pipeline. Your job is to figure out what the user wants to instrument, gather the relevant code, and run the pipeline to produce a tracking plan.

Pipeline

Step 0: Capture intent

Before running anything, determine what the user wants to instrument. There are four input types — infer the type from what the user has already provided in the conversation. Only ask if it's genuinely ambiguous.

Input type How to recognize it Example
PR A PR URL, PR number, or phrases like "this PR", "my PR" instrument PR #42, https://github.com/org/repo/pull/42
Branch A branch name or "this branch", "my branch", "current branch" instrument feature/checkout, add tracking to this branch
File / Directory A file path, directory path, or glob pattern instrument src/components/Checkout.tsx, add analytics to src/payments/
Feature A natural-language description of functionality, not a specific code reference instrument the onboarding flow, add tracking to the checkout experience

Inference rules:

  • If the user provided a URL or #numberPR
  • If the user provided something that looks like a branch name (contains /, no file extension, matches a git branch) → Branch
  • If the user provided a path that exists on disk (file or directory) → File / Directory
  • If none of the above match and the input is descriptive → Feature
  • If the conversation already contains a PR link, branch name, or file path from earlier messages, use that instead of asking again

Read the full file on GitHub · 146 lines

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. 12d ago First seen · 146 lines · 173 tokens per session scan A 8e3648a6f45a

Subscribe to this mod's changes

add-analytics-instrumentation is a skill published in the GitHub repository amplitude/mcp-marketplace (35 stars, last pushed 3d ago), licensed MIT. It adds 173 tokens to every session and 1,561 once invoked, about $0.0009 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.

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