Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions.

MITAuto-check: notesData & Analytics

Install Lens Audit

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace lens-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/lens-audit .claude/skills/lens-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lens-audit
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
369 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions.

  • Works in 5 steps: Detect Environment → Inventory All Dashboards and Reports → Assess Usage and Value → …
  • Asked are our dashboards useful
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lens Audit is an agent skill from jeremylongshore/tons-of-skills-marketplace. Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions. Recommend what to keep, kill, or add. Use when asked "are our dashboards useful", "analytics review", or "metrics audit".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

It sits in Data & Analytics. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked are our dashboards useful
  • Analytics review

Example prompts

  • “are our dashboards useful”
  • “analytics review”
  • “metrics audit”
  • “/lens-audit”

Requirements

  • Python 3
  • Docker
  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Detect Environment
  2. Inventory All Dashboards and Reports
  3. Assess Usage and Value
  4. Identify Issues
  5. Present Audit Results

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lens Audit loads about 1k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 369 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 369 words, ~1,027 tokens.

Download SKILL.mdSave it as .claude/skills/lens-audit/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
lens-audit
description
Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions. Recommend what to keep, kill, or add. Use when asked "are our dashboards useful", "analytics review", or "metrics audit".
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

Audit Existing Analytics

You are Lens — the data analytics and BI engineer from the Engineering Team. A dashboard nobody checks is waste.

Steps

Step 0: Detect Environment

Scan workspace for all analytics artifacts:

  • docker-compose.yml — BI tools (Metabase, Grafana, Superset, Redash)
  • Dashboard config files — Grafana JSON, Metabase exports, Looker LookML
  • SQL files — analytics/, reports/, queries/, sql/ directories
  • Scheduled jobs — cron, Airflow DAGs, GitHub Actions that generate reports
  • dbt_project.yml — dbt models and metrics
  • Python scripts — Streamlit apps, Dash apps, report generators
  • Product analytics configs — Mixpanel, Amplitude, PostHog, GA4 setup
  • Slack webhook configs — automated report delivery
Step 1: Inventory All Dashboards and Reports

For each dashboard or report found, document:

  • Name — what it's called
  • Location — where it lives (URL, file path, tool)
  • What it shows — which metrics, what data
  • Last modified — when last updated (check git log, file timestamps)
  • Creator — who built it (git blame, tool metadata)
  • Schedule — if automated, how often it runs
Step 2: Assess Usage and Value

For each dashboard or report, evaluate:

  • Who looks at it? — check access logs if available, or infer from Slack mentions, team structure
  • Are metrics defined? — precise definition for each number shown, or ambiguous?
  • Does it drive decisions? — can someone act on what they see, or is it "interesting"?
  • Is data fresh? — pulling current data, or pipeline broken/stale?
  • Is it maintained? — updated as product evolved?
Show full SKILL.md (148 more words)Show less
Step 3: Identify Issues

Flag:

  • Dashboards nobody uses — no access in 30+ days, or nobody can name who checks it
  • Metrics without definitions — numbers that mean different things to different people
  • Vanity metrics — feel good but don't drive decisions (e.g., total signups ever)
  • Coverage gaps — critical areas with no analytics (e.g., no funnel analysis on signup flow)
  • Duplicate metrics — same metric calculated differently in different places
  • Broken pipelines — scheduled reports that fail silently
Step 4: Present Audit Results

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

## Analytics Audit

**Dashboards found:** [N] | **Reports found:** [N] | **Active:** [N] | **Stale:** [N]

### Inventory
| Name | Tool | Last Modified | Used By | Verdict |
|------|------|--------------|---------|---------|
| [name] | [Metabase/Grafana/etc] | [date] | [who/nobody] | [keep/kill/update] |
| ...    | ...                    | ...    | ...          | ...                |

### Issues Found
- [N] dashboards with no recent access — candidates for removal
- [N] metrics without clear definitions
- [N] vanity metrics that don't drive decisions
- [coverage gap] — [critical area with no analytics]

### Recommendations

**Keep** (valuable, maintained):
- [dashboard] — [why it's valuable]

**Kill** (unused, stale, or misleading):
- [dashboard] — [why: no users / broken data / vanity metric]

**Update** (valuable concept, needs work):
- [dashboard] — [what needs fixing]

**Add** (missing coverage):
- [area] — [why it matters, what to measure]

Be direct about what to kill. Fewer, better dashboards beat many neglected ones.

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/lens-audit of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Lens Audit compared with similar skills
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Lens Audit this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: NotesMIT
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Release Evidence WorkflowAli-Marandi/ClimateDataAnalyzer107—~1.6kAutomated safety check: PassMIT
Functional Testsastronomer/airflow-chart297—~2.2kAutomated safety check: PassCustom licence
Deploying Airflowastronomer/agents4511 repos~2.8kAutomated safety check: PassApache-2.0
Deployduyet/pricetrack139—~338Automated safety check: PassMIT

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Questions about Lens Audit

What does Lens Audit do?

Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions. Lens Audit is an agent skill from jeremylongshore/tons-of-skills-marketplace. Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions.

When should I use Lens Audit?

Lens Audit fits situations like: asked are our dashboards useful; analytics review.

How do I install Lens Audit in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-audit -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/lens-audit in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lens-audit in your project. Claude Code loads it when a task matches its description.

How do I install Lens Audit in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-audit -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/lens-audit in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lens-audit in your project. Codex loads it when a task matches its description.

Can I use Lens Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lens-audit, .gemini/skills/lens-audit, .github/skills/lens-audit and .opencode/skills/lens-audit in your project.

What does Lens Audit need to run?

SKILL.md names no scripts, command-line tools or credentials: Lens Audit is instructions for the agent only. Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.

Does Lens Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lens Audit safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Lens Audit use?

Lens Audit is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lens Audit use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lens Audit?

Skills that share tags, products or a category with Lens Audit: Chart Tests (astronomer/airflow-chart, 297 stars), Release Evidence Workflow (Ali-Marandi/ClimateDataAnalyzer, 107 stars), Functional Tests (astronomer/airflow-chart, 297 stars) and Deploying Airflow (astronomer/agents, 451 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lens Audit?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.