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Analytics Tracking

Checked
davila7·vlatest·data·MIT

Tracks website user behavior, campaign performance, and key metrics with detailed analytics reports from davila7.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill analytics-tracking -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/business-marketing/analytics-tracking/SKILL.md
Scanned
1 file, 526 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to execute analytics and tracking tasks, allowing them to process data streams and generate performance reports. It is designed to automate the collection and interpretation of metrics within a specific technical framework.

When to use it

  • You need to monitor real-time application performance or user engagement metrics automatically.
  • Your workflow requires generating standardized data reports without manual spreadsheet intervention.
  • You are debugging issues by correlating code changes with specific analytics events.
  • You want an agent to validate that tracking scripts are firing correctly after deployment.

Key capabilities

  • Automated execution of analytics queries and data retrieval.
  • Generation of structured tracking reports based on defined parameters.
  • Integration with existing monitoring pipelines for continuous data flow.

Example prompts

  • "Run a daily summary report on user session durations and bounce rates from the last 24 hours."
  • "Check if the new tracking pixel is firing correctly on the checkout page and log any errors."
  • "Analyze the current dataset to identify which traffic source has the highest conversion rate."

Tips & gotchas

Ensure your data sources are accessible and properly authenticated before running queries, as the skill relies on live connections. Be specific about time ranges and metric types in your prompts to avoid ambiguous results or permission errors.