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.
npx skills add deciqAI/knowledge-skills --skill north-star-metricgit clone --depth 1 https://github.com/deciqAI/knowledge-skillsWrote 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.
[](https://agentmods.dev/skills/deciqai/knowledge-skills/north-star-metric)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/north-star-metric"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-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.
<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/north-star-metric"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/north-star-metric.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00124 | $0.02056 |
| Opus 5 | $0.00062 | $0.01028 |
| Sonnet 5 | $0.00025 | $0.00411 |
| Haiku 4.5 | $0.00012 | $0.00206 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
North Star Metric
Overview
The North Star Metric (NSM) is the single metric that most directly measures value delivered to customers and predicts revenue over time. Popularized by Sean Ellis and Amplitude. Revenue is the goal; the NSM is the leading indicator that predicts it early enough to act — picking revenue itself produces a lagging dashboard, not a steering wheel.
Compose: aarrr-pirate-metrics instruments the full funnel; NSM elevates one funnel metric to cross-team primacy. first-principles clarifies what value the product actually delivers. pmf-crossing-the-chasm — the NSM is typically an Activation- or Retention-stage metric.
When to Use
Use when: teams are optimizing conflicting metrics; dashboard has 30+ metrics with no priority; a leading indicator of revenue is needed; someone says "NSM," "OMTM," "what should we optimize," or "we measure too many things"; an AI-native product is chasing sign-ups / prompts / demo plays and needs an activated-value metric that survives high inference/capex costs and AI-adoption churn.
Do NOT use when: product has no customers (pre-PMF → use lean-startup); single-team execution in a mature business; genuinely conflicting strategic objectives (the strategy needs work, not a metric).
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete case → run The Process directly.
- Coach mode: user is unfamiliar or has no concrete case → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-line what-it-is: the NSM is the single metric that best captures the value your product delivers to customers — when it grows, revenue grows behind it.
- Check fit against When to Use / When NOT to use. No customers → redirect to lean-startup. Single mature team → wrong scope.
- Elicit the product's core value in customer units (time saved, problem solved) — not the product feature.
[WAIT — do not advance until user responds]
- Walk: value → metric candidate → 3-criteria check → test against company strategy → pick. Pause at each.
[WAIT — do not advance until user responds]
- Close by naming the chosen NSM + the supporting metrics it should not be confused with. One number on the wall; a list of "useful but not the NSM" metrics.
[WAIT — do not advance until user responds]
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 122 lines · 124 tokens per session scan A be5b135cd180
north-star-metric is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 124 tokens to every session and 2,056 once invoked, about $0.0006 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 2026-09-03.
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