legacy-ibmi-runtime-evidence-miner

Name: legacy-ibmi-runtime-evidence-miner
Availability: InStock
Author: wwa-lab

Extract structured runtime evidence from IBM i job logs and spool files.

Updated May 12, 2026

Search Tags:#evidence extraction #runtime evidence #IBM i #job log analysis #spool file analysis

Ready to run

npx skills add https://github.com/wwa-lab/legacy-spec-factory --skill legacy-ibmi-runtime-evidence-miner

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: legacy-ibmi-runtime-evidence-miner
Source: https://github.com/wwa-lab/legacy-spec-factory/tree/main/.opencode/skills/legacy-ibmi-runtime-evidence-miner
Command: npx skills add https://github.com/wwa-lab/legacy-spec-factory --skill legacy-ibmi-runtime-evidence-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill extracts structured observed_in_runtime evidence from approved IBM i job logs and spool/report files, providing insights into program behavior and system operations.

Core Features & Use Cases

Runtime Evidence Extraction: Extracts structured evidence from IBM i job logs and spool files.
Job Log Analysis: Parses job logs to identify call sequences, error patterns, and timing observations.
Spool File Analysis: Analyzes spool files to extract report structures and content.
Use Case: Use this Skill to extract runtime evidence from nightly billing job logs to understand program behavior and identify potential issues.

Quick Start

Run the legacy-ibmi-runtime-evidence-miner skill with the evidence manifest path and inventory file.

Frequently Asked Questions about legacy-ibmi-runtime-evidence-miner

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

FAQPage Schema

How do I extract runtime evidence from IBM i job logs and spool files?▼

To extract runtime evidence from IBM i job logs and spool files, you need an approved evidence manifest, redacted job logs, and inventory mappings. The extraction process outputs a structured runtime-evidence.jsonl file containing call sequences, error patterns, and timing observations.

What is runtime evidence extraction from IBM i job logs?▼

Runtime evidence extraction from IBM i job logs is the process of parsing structured observed-in-runtime data to identify program behavior and system operations. It captures call sequences, error patterns, and timing observations to provide insights into nightly billing jobs and other operations.

Do I need Python and IBM i access to analyze job logs and spool files?▼

Yes, you need Python and IBM i access to analyze job logs and spool files for runtime evidence extraction. The process also requires approved evidence manifests, redacted job logs, and inventory mappings to successfully parse and extract structured runtime data.

What file format is used for structured runtime evidence output from spool file analysis?▼

The file format used for structured runtime evidence output from spool file analysis is JSONL (runtime-evidence.jsonl). This format contains the extracted call sequences, error patterns, and timing observations parsed from the analyzed IBM i job logs and spool reports.

Can I analyze spool file report structures and content from IBM i systems?▼

Yes, you can analyze spool file report structures and content from IBM i systems. The spool file analysis feature extracts structured observed-in-runtime evidence from approved spool files and report files, providing insights into program behavior and system operations.