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.