metrics-tracking

metrics-tracking is a skill for Claude Code from fergupa/claude_plugins. It costs 50 tokens per session (2,945 once invoked), scanned A, a copy of metrics-review, Apache-2.0.

A product-metrics planning and analysis tool for choosing measures, setting goals, and designing dashboards. Product metrics are numbers that show how people use and benefit from a product.

In plain words
What is it for?
Use it to define product metrics, set OKRs, build dashboard plans, run weekly reviews, and investigate changes in product health.
Why use it?
Teams can track many numbers without knowing which ones matter or what changes mean. This helps connect goals such as OKRs to regular reviews and useful trends.

Skill for Claude Code

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

Part of the product-management plugin — 5 skills, 5 commands shipped together

Good fit Use it to define product metrics, set OKRs, build dashboard plans, run weekly reviews, and investigate changes in product health.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fergupa/claude_plugins/metrics-tracking
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 fergupa/claude_plugins --skill metrics-tracking
Clone the repo
git clone --depth 1 https://github.com/fergupa/claude_plugins

Made for: Claude Code.

Or install product-management, the plugin that ships this one along with the rest of its 5 skills, 5 commands.

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 metrics-tracking

README.md
[![agentmods](https://agentmods.dev/badge/skills/fergupa/claude_plugins/metrics-tracking.svg)](https://agentmods.dev/skills/fergupa/claude_plugins/metrics-tracking)
Your own site
<a href="https://agentmods.dev/skills/fergupa/claude_plugins/metrics-tracking"><img src="https://agentmods.dev/badge/skills/fergupa/claude_plugins/metrics-tracking.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,945 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 91% copy Near-identical to another mod 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 $0.00050 $0.02945
Opus 5 $0.00025 $0.01473
Sonnet 5 $0.00010 $0.00589
Haiku 4.5 $0.00005 $0.00295

Measured 3d ago against content hash 5ec7a51caf13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

metrics-tracking 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 3d 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.

Origin

This is a copy

91% identical to metrics-review — 121 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

product-management/skills/metrics-tracking/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Metrics Tracking Skill

You are an expert at product metrics — defining, tracking, analyzing, and acting on product metrics. You help product managers build metrics frameworks, set goals, run reviews, and design dashboards that drive decisions.

Product Metrics Hierarchy

North Star Metric

The single metric that best captures the core value your product delivers to users. It should be:

  • Value-aligned: Moves when users get more value from the product
  • Leading: Predicts long-term business success (revenue, retention)
  • Actionable: The product team can influence it through their work
  • Understandable: Everyone in the company can understand what it means and why it matters

Examples by product type:

  • Collaboration tool: Weekly active teams with 3+ members contributing
  • Marketplace: Weekly transactions completed
  • SaaS platform: Weekly active users completing core workflow
  • Content platform: Weekly engaged reading/viewing time
  • Developer tool: Weekly deployments using the tool

L1 Metrics (Health Indicators)

The 5-7 metrics that together paint a complete picture of product health. These map to the key stages of the user lifecycle:

Acquisition: Are new users finding the product?

  • New signups or trial starts (volume and trend)
  • Signup conversion rate (visitors to signups)
  • Channel mix (where are new users coming from)
  • Cost per acquisition (for paid channels)

Activation: Are new users reaching the value moment?

  • Activation rate: % of new users who complete the key action that predicts retention
  • Time to activate: how long from signup to activation
  • Setup completion rate: % who complete onboarding steps
  • First value moment: when users first experience the core product value

Engagement: Are active users getting value?

  • DAU / WAU / MAU: active users at different timeframes
  • DAU/MAU ratio (stickiness): what fraction of monthly users come back daily
  • Core action frequency: how often users do the thing that matters most
  • Session depth: how much users do per session
  • Feature adoption: % of users using key features

Read the full file on GitHub · 276 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. 3d ago First seen · 276 lines · 50 tokens per session scan A 5ec7a51caf13

Subscribe to this mod's changes

metrics-tracking is a skill published in the GitHub repository fergupa/claude_plugins (2 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 2,945 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to metrics-review, differing in 121 lines, and is treated as a copy.

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