oss-forensics

Reconstruct OSS supply-chain incidents from git history, GitHub API, Wayback, and BigQuery.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/samuelmukoti/myai-agent --skill oss-forensics-samuelmukoti
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oss-forensics
Source: https://github.com/samuelmukoti/myai-agent/tree/main/optional-skills/security/oss-forensics
Command: npx skills add https://github.com/samuelmukoti/myai-agent --skill oss-forensics-samuelmukoti

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill provides a disciplined, multi-source framework to detect, investigate, and report on open-source supply chain compromises.

Core Features & Use Cases

  • A 7-phase multi-agent investigation workflow coordinating local Git data, GitHub API responses, Wayback Machine snapshots, and GH Archive history for comprehensive evidence collection, hypothesis formation, and report generation.
  • Built-in guardrails and cross-source verification to ensure evidence integrity, chain-of-custody, and auditable conclusions suitable for disclosure or remediation planning.
  • Use Case: When a repository shows suspicious activity, run the OSS Forensics Skill to orchestrate multi-source data collection and produce a defensible forensic report.

Quick Start

Initiate the OSS forensics skill against OWNER/REPO to start evidence collection and generate the final report.

Frequently Asked Questions about oss-forensics

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

FAQPage Schema
How do I investigate a suspected open-source supply chain compromise in a GitHub repository?

To investigate open-source supply chain compromise, aggregate evidence from local git history, GitHub API activity, Wayback snapshots, and BigQuery archives. Apply a 7-phase, multi-agent workflow to cross-verify events and produce a formal forensic report.

What is the best way to maintain a defensible chain of custody during an OSS security investigation?

A defensible chain of custody during an OSS security investigation requires built-in guardrails and cross-source verification. This framework strictly governs evidence by cross-verifying events, redacting sensitive data, and maintaining an auditable history for conclusions.

Can I use Wayback Machine snapshots and GH Archive history to reconstruct suspicious repository activity?

Yes, you can reconstruct suspicious repository activity by coordinating local Git data with Wayback Machine snapshots and GH Archive history. This multi-source collection forms hypotheses and generates auditable conclusions suitable for disclosure.

Does this forensics framework require any external dependencies to start collecting evidence?

No external dependencies are required to start collecting evidence. Initiate the forensics workflow directly against the target OWNER/REPO to orchestrate multi-source data collection and generate the final report without prerequisite installations.

How does a multi-agent workflow improve open-source supply chain incident reporting?

A multi-agent workflow improves open-source supply chain incident reporting by applying a 7-phase process across local Git, GitHub API, Wayback, and BigQuery data. This structured approach ensures evidence integrity and generates an executive report.

When should I use an automated forensics framework instead of manual git log analysis for security incidents?

Use an automated forensics framework instead of manual git log analysis when a repository shows suspicious activity and requires defensible, auditable conclusions. It orchestrates multi-source data collection and cross-verification for formal disclosure or remediation planning.