Analyze git repository statistics including contributor rankings, lines of code by language, commit frequency by day/hour, monthly activity trends, and file...

This skill appears to do exactly what it says: analyze local git repositories. Before installing or running it, note that: - It runs 'git' commands and reads all tracked files in the repository (including file contents when counting LOC). Do not run it on repos containing secrets you don't want printed or exported. - The SKILL.md mentions required binaries (git and Python 3.8+); ensure those are present. The registry metadata omitted that requirement — this is a minor inconsistency but explainable. - The script prints contributor names/emails and repository file contents counts; if you plan to share output (JSON or text), sanitize sensitive data first. - For very large repos, use the --no-loc flag to skip line counting (much faster). - The package contains the full script (scripts/git_stats.py); you can review the code locally before running to confirm there is no network I/O or unexpected behavior (the included script uses subprocess.run for git and local file reads only). If you need additional assurance, run the script in an isolated environment (e.g., container) on a non-sensitive repo first.

Type: OpenClaw Skill Name: git-stats Version: 1.0.0 The git-stats skill is a standard utility for analyzing local Git repository statistics such as contributor rankings, lines of code, and commit trends. The Python script (scripts/git_stats.py) uses subprocess.run with argument lists to safely execute git commands and relies solely on the Python standard library, showing no signs of data exfiltration, malicious execution, or prompt injection.