Share Skill Usage Statistics

Parse Claude logs and generate anonymized Markdown usage reports.

34|5|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/NeuroAIHub/awesome_cognitive_and_neuroscience_skills --skill share-skill-usage-statistics-neuroaihub
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Share Skill Usage Statistics
Source: https://github.com/NeuroAIHub/awesome_cognitive_and_neuroscience_skills/tree/main/skills/share-usage
Command: npx skills add https://github.com/NeuroAIHub/awesome_cognitive_and_neuroscience_skills --skill share-skill-usage-statistics-neuroaihub

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill removes the guesswork from understanding which neuroscience and cognitive science skills researchers actually rely on by automatically summarizing usage data in a privacy-preserving way so maintainers and collaborators can prioritize improvements.

Core Features & Use Cases

  • Automated log analysis: Scans Claude Code history and debug logs to extract only the calls belonging to this repository and counts how often each skill is used.
  • Anonymized reporting: Builds a Markdown report with date ranges, total calls, most-used skills, and optional domain tags or comments while never exposing user identity or conversation content.
  • Community sharing workflow: Validates GitHub CLI prerequisites, saves the report locally, and optionally posts it to discussions so researchers can show how these tools support their work.

Quick Start

Ask Claude to share anonymized usage stats for this skill repository.

Frequently Asked Questions about Share Skill Usage Statistics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate anonymized usage statistics for Claude Code skills?

To generate anonymized usage statistics for Claude Code skills, you can use a skill that parses Claude logs, counts repository-specific skill calls, and formats a Markdown report without exposing user identity or conversation content.

What is anonymized skill reporting and how does it protect user privacy?

Anonymized skill reporting summarizes skill usage data, such as date ranges and total calls, while never exposing user identity or conversation content, ensuring privacy is maintained when sharing neuroscience and cognitive science tool insights.

How do I share skill usage reports with the community on GitHub?

You can share skill usage reports with the community by validating GitHub CLI prerequisites, saving the Markdown report locally, and optionally posting it to GitHub discussions to show how research tools support work.

Can I analyze Claude Code history logs to count neuroscience skill usage?

Yes, you can analyze Claude Code history and debug logs to extract calls belonging to a specific repository and count how often each neuroscience and cognitive science skill is used for research.

Do I need the GitHub CLI installed to share anonymized usage stats?

Yes, you need the GitHub CLI installed and validated as a prerequisite to optionally post the generated anonymized usage statistics Markdown reports to community discussions.

What limitations exist when parsing Claude logs for skill usage data?

A key limitation is that parsing Claude logs only extracts repository-specific skill calls and counts usage, meaning it does not capture or expose conversation content or individual user identities within the anonymized report.