metrics

metrics is a skill for Claude Code from ai-analyst-lab/ai-analyst. It costs 227 tokens per session (1,289 once invoked), scanned A, original, MIT.

A lookup tool for metric definitions stored in a dataset's metric dictionary. It shows how available metrics are named, calculated, and validated.

In plain words
What is it for?
Use it to list metrics, search by name or category, view a metric's full definition, or check definitions before calculating results.
Why use it?
It prevents analysis from using an unclear or outdated meaning for a metric.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to list metrics, search by name or category, view a metric's full definition, or check definitions before calculating results.

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

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 metrics

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/metrics/github.svg)](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/metrics)
Your own site
<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/metrics"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/metrics/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 metrics

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/metrics"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/metrics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 227 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,289 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 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 $0.00227 $0.01289
Opus 5 $0.00113 $0.00645
Sonnet 5 $0.00045 $0.00258
Haiku 4.5 $0.00023 $0.00129

Measured 2d ago against content hash c2c729db05db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-13, from the pricing page.

Security

Grade A, and why

metrics 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 2d 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

Copies of this mod

1 near-identical copy found in the catalogue:

  • metrics — 88% identical, 9 lines differ
.claude/skills/metrics/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Metrics

Purpose

Browse, search, and display metric definitions from the active dataset's metric dictionary. Provides quick access to how metrics are defined, computed, and validated.

When to Use

  • User says /metrics or "show me the metrics" or "what metrics do we track?"
  • During analysis, to confirm a metric's definition before computing it
  • When writing a metric spec, to check for existing definitions

Invocation

/metrics — list all metrics for the active dataset /metrics {id} — show full spec for a specific metric /metrics category={cat} — filter by category (e.g., monetization) /metrics search={term} — search metric names and descriptions

Instructions

Step 1: Load Metric Dictionary

  1. Read .knowledge/active.yaml to identify the active dataset.
  2. Read .knowledge/datasets/{active}/metrics/index.yaml for the metric list.
  3. If no metrics directory exists: "No metric dictionary for this dataset. Use the metric-spec skill to define metrics."

Step 2: Execute Command

List all (/metrics):

  • Display as a table: id, name, category, direction, validation_status
  • Group by category
  • Show total count
  • If dictionary is empty AND user mentions specific analysis context (e.g., "revenue analysis", "conversion analysis"):
    • Read .knowledge/datasets/{active}/schema.md to explore available tables/columns
    • Suggest 3-5 relevant metrics the user could define for their analysis context
    • Include suggested SQL formulas for each
    • Reference the metric-spec skill for formalization

Show specific (/metrics {id}):

  • Read .knowledge/datasets/{active}/metrics/{id}.yaml
  • Display: name, category, owner, full definition (formula, unit, direction, granularity), source tables, dimensions, guardrails, typical range, validation status
  • If metric not found:
    • Suggest closest match from index (fuzzy string match on name)
    • Fallback search strategy: Search working/, outputs/, and .knowledge/analyses/ for recent usage of the metric name
    • If found in recent work, extract the formula/definition used and offer to formalize it
    • If not found anywhere, suggest defining it via metric-spec skill

Read the full file on GitHub · 91 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. 2d ago First seen · 91 lines · 227 tokens per session scan A c2c729db05db

Subscribe to this mod's changes

metrics is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (298 stars, last pushed 3d ago), licensed MIT. It adds 227 tokens to every session and 1,289 once invoked, about $0.0011 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 2026-09-12.

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