What problem does it solve? Understanding how each developer actually works inside a Git repository normally requires installing analytics tools or manually digging through git log output. This Skill turns raw commit history into a structured, data-driven profile of every contributor without installing any packages or running custom scripts. ## Core Features & Use Cases - Six-Dimension Developer Profiling: Scores each contributor on commit habits, work habits, development efficiency, code style, code quality, and an engagement index, using only native read-only git commands and standard Unix text utilities. - Security-Hardened Execution: Enforces a strict command whitelist, input validation against injection attacks, dry-run preview mode, email privacy protection, and automatic redaction of secrets before any data reaches the AI model. - Team-Level Reporting: Produces a Markdown report with a summary table, per-developer radar scores and commentary, team cross-comparison, and bus-factor risk alerts. - Use Case: A tech lead asks "analyze the repository at /path/to/my-project and compare Alice and Bob's development efficiency" and receives a full report showing commit frequency, churn rate, late-night coding ratios, and actionable improvement suggestions for each person. ## Quick Start Ask the agent to analyze the Git repository at your chosen absolute path and generate a developer profile report for all contributors.
