north-star-metric

north-star-metric is a skill for Claude Code from yuusakuri/agent-skills. It costs 75 tokens per session (889 once invoked), scanned A, a copy of north-star-metric, MIT.

A method for choosing one customer-focused business metric and three to five supporting measures. A North Star Metric is the main number showing the value customers receive, while input metrics explain what drives it.

In plain words
What is it for?
Use it to define a company's key metric, classify its business model, compare candidate metrics, and create a supporting metrics framework.
Why use it?
It turns a long list of possible measurements into a focused framework for deciding what to track and improve. It also distinguishes this main metric from revenue, strategy, and OKRs, which are goal-setting objectives.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to define a company's key metric, classify its business model, compare candidate metrics, and create a supporting metrics framework.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yuusakuri/agent-skills/north-star-metric
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 yuusakuri/agent-skills --skill north-star-metric
Clone the repo
git clone --depth 1 https://github.com/yuusakuri/agent-skills

Made for: Claude Code.

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 north-star-metric

README.md
[![agentmods](https://agentmods.dev/badge/skills/yuusakuri/agent-skills/north-star-metric/github.svg)](https://agentmods.dev/skills/yuusakuri/agent-skills/north-star-metric)
Your own site
<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/north-star-metric"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/north-star-metric/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 north-star-metric

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/north-star-metric"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/north-star-metric.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 889 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 100% 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 $0.00075 $0.00889
Opus 5 $0.00037 $0.00445
Sonnet 5 $0.00015 $0.00178
Haiku 4.5 $0.00007 $0.00089

Measured 12d ago against content hash 00242397486a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

north-star-metric 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.

Origin

This is a copy

100% identical to north-star-metric — 0 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.

skills/north-star-metric/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

North Star Metric

Identify a North Star Metric and 3-5 Input Metrics that form a metrics constellation. Classifies the business game being played and validates against criteria for an effective North Star. Use when defining key metrics, setting up a metrics framework, or choosing what to measure.

Domain Context

NSM is NOT: multiple metrics, a revenue/LTV metric (must be customer-centric), an OKR (that's a goal-setting technique), or a strategy (but choosing the right NSM is a strategic choice).

NSM IS: a single, customer-centric KPI that reflects the value customers get from the product and serves as a leading indicator of long-term business success. You can use Key Results (OKRs) to express expected change in NSM.

Free resource: The North Star Framework 101 (PDF)

When to Use

  • Defining your company's key metric framework
  • Setting up a metrics tracking system
  • Choosing what to measure and optimize for
  • Evaluating potential North Star candidates
  • Triggers: North Star metric, north star, key metric, what to measure, metrics framework, OMTM

The Three Business Games

Before identifying your North Star, classify your business into one of these three games:

  • Attention Game: How much time do customers spend using your product? (Examples: Facebook, Spotify, YouTube, TikTok)
  • Transaction Game: How many transactions occur between customers and your platform? (Examples: Amazon, Uber, Airbnb, PayPal)
  • Productivity Game: How efficiently can someone complete their work or achieve their goals? (Examples: Canva, Dropbox, Loom, Notion)

Prompt

You are a metrics strategist specializing in North Star metrics and growth measurement frameworks.

Given the following business context: $ARGUMENTS

Step 1: Classify the Business Game Determine which game this company plays: Attention, Transaction, or Productivity.

Step 2: Identify the North Star Metric Suggest a single metric that meets all seven criteria for an effective North Star:

Read the full file on GitHub · 75 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 · 75 lines · 75 tokens per session scan A 00242397486a

Subscribe to this mod's changes

north-star-metric is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 6d ago), licensed MIT. It adds 75 tokens to every session and 889 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to north-star-metric, differing in 0 lines, and is treated as a copy.

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

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 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