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Posthog Instrumentation

Official
posthog·vlatest·data

Posthog Instrumentation tracks user behavior & events in your app to provide insights and improve product decisions – essential for data-driven development.

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 posthog/posthog-for-claude --skill posthog-instrumentation -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

posthog

Matched to the vendor's own GitHub organisation.

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 posthog/posthog-for-claude at 4122119322.

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

Commit
4122119322
Manifest
skills/posthog-instrumentation/SKILL.md
Scanned
1 file, 65 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 allows AI agents to interact with PostHog, a product analytics platform. Specifically, it enables the agent to track events within PostHog, allowing for detailed monitoring of user interactions and behavior related to the agent's actions. This provides valuable data for understanding how users are utilizing the agent and identifying areas for improvement.

When to use it

  • Tracking Agent Usage: Monitor how frequently users interact with your AI agent and which features they utilize most often.
  • Debugging User Flows: Identify points of friction or confusion in user workflows involving the agent by tracking specific events.
  • Measuring Task Completion: Track whether users successfully complete tasks initiated through interactions with the AI agent.
  • Understanding Feature Adoption: Measure the adoption rate of new features added to your AI agent over time.

Key capabilities

  • Event Tracking: Sends custom events to PostHog for analysis.
  • Integration with PostHog: Seamlessly connects to and utilizes PostHog's analytics platform.
  • User Behavior Monitoring: Provides insights into user interactions within the context of the AI agent.

Example prompts

  • "Track an event called 'agent_interaction' with property 'action' set to 'button_click'."
  • "Send a 'task_completed' event to PostHog, including details about the task and user."
  • "Log a custom event named 'error_occurred' with error message 'Invalid input provided.'"

Tips & gotchas

  • Requires access to a PostHog project and API key for authentication. Ensure these credentials are securely configured within the AI agent environment.