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Session Analyzer

Checked
ai-native-camp·vlatest·security

Analyzes user sessions to identify patterns & pain points, boosting product understanding and improving UX design decisions.

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 ai-native-camp/camp-2 --skill session-analyzer -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

ai-native-camp

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 ai-native-camp/camp-2 at 16c00971bf.

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

Commit
16c00971bf
Manifest
.claude/skills/session-analyzer/SKILL.md
Scanned
6 files, 975 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

The session-analyzer skill provides a mechanism to inspect and analyze user sessions within an AI agent environment. It enables developers to retrieve detailed session data to understand interaction patterns, troubleshoot issues, or gather usage metrics.

When to use it

  • Debugging unexpected agent behaviors by reviewing specific user interaction logs.
  • Analyzing conversation flow to optimize prompt engineering strategies.
  • Gathering anonymized session statistics for product improvement reports.
  • Validating that complex multi-step tasks were completed successfully across a session.

Key capabilities

  • Session data retrieval and inspection.
  • Interaction history analysis.
  • Usage pattern identification.
  • Troubleshooting support through log access.

Example prompts

  • "Retrieve the last 10 user sessions for agent ID 12345."
  • "Analyze this specific session to identify where the conversation stalled."
  • "Generate a summary of common error patterns found in recent sessions."

Tips & gotchas

Ensure you have appropriate permissions to access session logs, as they may contain sensitive user data. Always anonymize or redact personal information before sharing analyzed session reports externally.