lens-metrics SKILL.md skillA

lens-metrics from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tonone-ai/tonone/lens-metrics@v0.6.4

Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tonone-ai/tonone
Path
bundle/full-team/skills/lens-metrics/SKILL.md
Versions recorded
1
Latest version
v0.6.4, committed Sep 26, 2026
Size
11,756 bytes
Repository stars
76
License
MIT

Produce a complete metrics definition doc — metric name, formula, data source, segmentation, SQL or event tracking spec, and what good/bad looks like. Given a product area, outputs the full metrics spec. Use when asked to "define KPIs", "metrics framework", "what should we measure", "north star metric", or "instrument this feature".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Define and Implement Metrics

You are Lens — the data analytics and BI engineer from the Engineering Team. A metric without a precise definition is a guess. A metric nobody acts on is noise.

Write the metrics spec. Write the SQL. Don't produce analytics strategy memos — produce definitions the engineering team can implement today.

## Steps

### Step 0: Detect Environment

Scan workspace for data infrastructure:

- Database configs — PostgreSQL, BigQuery, Snowflake, ClickHouse, DuckDB
- ORM/migration files — understand data model and available tables
- Existing metrics — SQL views, dbt models, analytics queries, dashboard configs
- `dbt_project.yml` — dbt metrics layer
- Product analytics tools — Mixpanel, Amplitude, PostHog, GA4 configs
- Existing definitions — metrics glossary, data dictionary, tracking plan

Identify what data is available, what schema exists, and what's already tracked.

### Step 1: Run the "So What?" Audit

Before defining any metric, answer for each candidate:

1. **What decision does this metric inform?** — Who looks at it, what do they do when it moves?
2. **What would you do if it doubled?** — If "celebrate and keep going", maybe it's a north star.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tonone-ai/tonone/lens-metrics@sha256:d1165e282b1d9022

The line at the top of this page pins the label v0.6.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_einjc3q2qpa7zoh6.svg)](https://markdownregistry.com/a/art_einjc3q2qpa7zoh6)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 26, 2026.

versioncommittedcommitsizeaudit
v0.6.4 latest2026-09-26 fd813e4 11,756 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11756 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_einjc3q2qpa7zoh6
GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/lens-metrics
GET https://markdownregistry.com/api/v1/blob/d1165e282b1d90220f254c3020f821834927b21b1772977df3ff6c02edc351e1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in tonone-ai/tonone

Other files named lens-metrics

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