Why is syncing with the main branch critical for this skill?

Syncing ensures the analysis includes the most recent student activity from the remote repository, preventing the report from missing commits that exist on the main branch but not on the local copy.

Can it find lab submissions if they are in the wrong folder?

Yes, it uses a recursive search across the directory structure to locate specific files, such as 'intro.py', even if they aren't placed in the strictly expected path.

How does this skill handle students with multiple GitHub usernames?

The skill queries git logs using multiple author flags, splitting composite usernames defined in the roster to ensure all contributions are captured regardless of which account the student uses.

Does it modify the official student roster?

No, the skill treats the OFFICIAL_STUDENT_ROSTER.json as a read-only source of truth to ensure the primary student data remains untouched and secure.

Student Activity Analysis

Name: Student Activity Analysis
Author: nibzard

bynibzard

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Learning & Documentation

Automates the tracking and reporting of student git activity, lab completion, and project contributions for software engineering courses.

This skill provides instructors and teaching assistants with an automated workflow for monitoring student progress in software engineering repositories. It handles the complexity of classroom management by reconciling multiple GitHub usernames, detecting fuzzy-matched student folders, and identifying file submissions across varying directory structures. By analyzing git logs and repository state against an official roster, it generates comprehensive Markdown reports that highlight active contributors, identify at-risk students, and track project team performance with high accuracy.

Key Features

01Comprehensive Markdown report generation with automated class-wide statistics

028 GitHub stars

03Automated git activity tracking across multiple student usernames and aliases

04Cross-referencing of lab submissions and project contributions against official rosters

05Identification of orphaned project folders and inactive students for targeted intervention

06Fuzzy matching for student folders to handle name variations and diacritics

Use Cases

01Verifying lab completion and project contributions for grading and assessment

02Weekly monitoring of student participation in large-scale software engineering courses

03Identifying at-risk students who show minimal or no git activity early in the term

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nibzard/2025-intro-swe student-activity-analysis

For use in Claude.ai and ChatGPT

Download Skill