Atlas / Skills / composiohq / Microsoft Clarity Automation

Microsoft Clarity AutomationSAFE

skills/composiohq/microsoft-clarity-automation

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
—
Stars
76,843
01

Overview

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

Read from source at commit 661fa6b4bb7bOBSERVED · 2026-10-11
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: Microsoft Clarity Automation
description: "Automate user behavior analytics with Microsoft Clarity -- export heatmap data, session metrics, and engagement analytics segmented by browser, device, country, source, and more through the Composio Microsoft Clarity integration."
requires:
  mcp:
    - rube
---

# Microsoft Clarity Automation

Export **Microsoft Clarity** user behavior analytics directly from Claude Code. Pull heatmap data, session metrics, and engagement insights segmented by multiple dimensions without leaving your terminal.

**Toolkit docs:** [composio.dev/toolkits/microsoft_clarity](https://composio.dev/toolkits/microsoft_clarity)

---

## Setup

1. Add the Composio MCP server to your configuration:
   ```
   https://rube.app/mcp
   ```
2. Connect your Microsoft Clarity account when prompted. The agent will provide an authentication link.
3. Ensure your Clarity project has sufficient data collection enabled for the dimensions you want to analyze.

---

## Core Workflows

### 1. Export Recent Analytics Data

Export Clarity analytics data for the last 1-3 days, segmented by up to three dimensions simultaneously.

**Tool:** `MICROSOFT_CLARITY_DATA_EXPORT`

Key parameters:
- `numOfDays` (required) -- number of days to export: `1` (last 24h), `2` (last 48h), or `3` (last 72h)
- `dimension1` -- first breakdown dimension
- `dimension2` -- second breakdown dimension (optional)
- `dimension3` -- third breakdown dimension (optional)

Available dimensions:
- `Browser` -- Chrome, Firefox, Safari, Edge, etc.
- `Device` -- Desktop, Mobile, Tablet
- `Country/Region` -- geographic location of users
- `OS` -- Windows, macOS, iOS, Android, etc.
- `Source` -- traffic source (e.g., google, direct, referral)
- `Medium` -- traffic medium (organic, cpc, referral, etc.)
- `Campaign` -- marketing campaign name
- `Channel` -- traffic channel grouping
- `URL` -- specific page URLs

Example prompt: *"Export Clarity data for the last 24 hours broken down by Device and Country/Region"*

---

### 2. Device Performance Analysis

Analyze how user behavior differs across device types to optimize responsive design.

**Tool:** `MICROSOFT_CLARITY_DATA_EXPORT`

Configuration: `numOfDays: 3`, `dimension1: "Device"`, `dimension2: "Browser"`

Example prompt: *"Show me Clarity metrics for the last 3 days by Device and Browser"*

---

### 3. Traffic Source Breakdown

Understand which traffic sources drive the most engaged users.

**Tool:** `MICROSOFT_CLARITY_DATA_EXPORT`

Configuration: `numOfDays: 2`, `dimension1: "Source"`, `dimension2: "Medium"`

Example prompt: *"Export Clarity data for the last 48 hours broken down by Source and Medium"*

---

### 4. Geographic User Behavior

Analyze user engagement patterns across different countries and regions.

**Tool:** `MICROSOFT_CLARITY_DATA_EXPORT`

Configuration: `numOfDays: 3`, `dimension1: "Country/Region"`, `dimension2: "Device"`

Example prompt: *"Get Clarity data for the last 72 hours segmented by Country/Region and Device type"*

---

### 5. Page-Level Performance

Examine which specific URLs have the highest or lowest engagement metrics.

**Tool:** `MICROSOFT_CLARITY_DATA_EXPORT`

Configuration: `numOfDays: 1`, `dimension1: "URL"`, `dimension2: "Device"`

Example prompt: *"Export yesterday's Clarity data broken down by URL and Device"*

---

### 6. Campaign Attribution Analysis

Evaluate marketing campaign effectiveness through user behavior metrics.

**Tool:** `MICROSOFT_CLARITY_DATA_EXPORT`

Configuration: `numOfDays: 3`, `dimension1: "Campaign"`, `dimension2: "Channel"`, `dimension3: "Device"`

Example prompt: *"Show Clarity engagement data for the last 3 days by Campaign, Channel, and Device"*

---

## Known Pitfalls

- **Limited time window:** Data export is limited to the last 1, 2, or 3 days only. The `numOfDays` parameter only accepts values of 1, 2, or 3. For longer historical analysis, you need to run exports periodically and aggregate them externally.
- **Dimension name exact match:** Dimension values must match exactly as listed (e.g., `Country/Region` not `country` or `region`). Case and slashes matter.
- **Maximum three dimensions:** You can segment by up to three dimensions per export. For more complex analysis, run multiple exports with different dimension combinations.
- **Data availability lag:** Clarity data may have a short processing delay. Very recent sessions (last few minutes) may not appear in exports.
- **Single tool limitation:** The Clarity integration currently offers only the data export tool. For heatmap visualizations and session recordings, use the Clarity web dashboard directly.
- **Response size:** Exports with high-cardinality dimensions like `URL` combined with other dimensions can produce large response payloads. Consider narrowing your time window or using fewer dimensions.

---

## Quick Reference

| Tool Slug | Description |
|---|---|
| `MICROSOFT_CLARITY_DATA_EXPORT` | Export analytics data with up to 3 dimensional breakdowns |

**Available Dimensions:**

| Dimension | Description |
|---|---|
| `Browser` | Web browser (Chrome, Firefox, Safari, etc.) |
| `Device` | Device type (Desktop, Mobile, Tablet) |
| `Country/Region` | Geographic location |
| `OS` | Operating system |
| `Source` | Traffic source |
| `Medium` | Traffic medium |
| `Campaign` | Marketing campaign |
| `Channel` | Traffic channel grouping |
| `URL` | Specific page URL |

---

*Powered by [Composio](https://composio.dev)*
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-11 · audit v0.4.1 · source sha 661fa6b4bb7bfull audit observations/trust-audit/skill/composiohq__microsoft-clarity-automation.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-11661fa6b4bb7bSAFEB89first audit
06

Questions

What does the Microsoft Clarity Automation skill do?

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

Is Microsoft Clarity Automation safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Microsoft Clarity Automation access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Microsoft Clarity Automation work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (661fa6b4bb7b), read on 2026-10-11. The repository is watched, and a new audit runs when it changes — this is the first audit.

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