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legacy-ibmi-evidence-intake

Register, classify, assess sensitivity, and redact IBM i evidence for modernization projects.

Updated May 12, 2026
Search Tags:#modernization#data governance#redaction#ibmi#evidence intake
One-click install
npx skills add https://github.com/wwa-lab/legacy-spec-factory --skill legacy-ibmi-evidence-intake
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: legacy-ibmi-evidence-intake
Source: https://github.com/wwa-lab/legacy-spec-factory/tree/main/.opencode/skills/legacy-ibmi-evidence-intake
Command: npx skills add https://github.com/wwa-lab/legacy-spec-factory --skill legacy-ibmi-evidence-intake

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, yaml, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of registering, classifying, and preparing IBM i evidence for modernization projects, ensuring proper authorization, sensitivity assessment, and redaction.

Core Features & Use Cases

  • Evidence Registration: Register and classify evidence items with unique IDs.
  • Sensitivity Assessment: Assess sensitivity and manage redaction for sensitive data.
  • Redaction Planning: Plan and execute redaction for data leaving the controlled environment.
  • Review and Manifest Generation: Review evidence and generate a manifest for downstream analysis.
  • Use Case: For a credit-check capability, use this Skill to intake RPGLE source code, DDS files, and redacted job logs, assigning EV-* IDs and preparing them for inventory analysis.

Quick Start

Use the legacy-ibmi-evidence-intake skill to intake and classify IBM i evidence from the directory 'evidence-collection' for the capability 'CREDIT-CHECK'.

Frequently Asked Questions about legacy-ibmi-evidence-intake

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

FAQPage Schema
How do I intake and classify IBM i evidence for a modernization project?▼

IBM i evidence intake involves registering source code like RPGLE, CLLE, and COBOL with unique EV-* IDs, classifying items by capability, and preparing them for downstream analysis. This skill automates that registration and classification workflow.

What is the process for redacting sensitive data in IBM i source code and job logs?▼

Redacting sensitive IBM i data requires assessing evidence sensitivity and planning redactions for any data leaving the controlled environment. This skill manages the sensitivity assessment and executes redaction plans to ensure data governance.

Can I use Python and pandas to process RPGLE and DDS files for legacy modernization?▼

Yes, you can use Python with pandas, yaml, and requests to process RPGLE and DDS files for IBM i modernization. This skill requires these specific libraries to handle evidence processing, classification, and redaction tasks.

What is the best way to generate an evidence manifest for downstream modernization analysis?▼

Generating an evidence manifest involves reviewing classified and redacted IBM i evidence items and creating a structured output file. This skill reviews the prepared evidence and automatically generates the manifest for downstream analysis.

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