result-aggregation

Aggregate and format outputs from parallel agent executions into unified summaries.

1|Updated May 21, 2026
One-click install
npx skills add https://github.com/hiddink-ai/hiddink-harness --skill result-aggregation-hiddink-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: result-aggregation
Source: https://github.com/hiddink-ai/hiddink-harness/tree/main/templates/skills/result-aggregation
Command: npx skills add https://github.com/hiddink-ai/hiddink-harness --skill result-aggregation-hiddink-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of information overload when running multiple AI agents in parallel, transforming fragmented session logs into a single, scannable status report.

Core Features & Use Cases

  • Intelligent Aggregation: Automatically groups results by status, agent type, or target path to highlight critical failures first.
  • Adaptive Formatting: Switches between compact ecomode summaries and detailed reports based on user preference and task complexity.
  • Use Case: After running a suite of code review agents across a large repository, use this skill to generate a single summary that lists all identified issues, categorized by severity and file path, without needing to open individual session files.

Quick Start

Use the result-aggregation skill to process the list of session files in the current output directory and generate a consolidated summary report.

Frequently Asked Questions about result-aggregation

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

FAQPage Schema
How do I consolidate multiple parallel agent outputs into a single summary?

Consolidate multiple parallel agent outputs by aggregating fragmented session logs into a unified, scannable status report. This process groups results by status, agent type, or target path to highlight critical failures first.

What is the best way to summarize multi-agent workflow results without information overload?

Summarize multi-agent workflow results by transforming fragmented session logs into a single status report. This approach categorizes identified issues by severity and file path, eliminating the need to open individual session files manually.

Can I format batch reporting summaries for parallel processing tasks differently based on complexity?

Batch reporting summaries support adaptive formatting, switching between compact ecomode summaries and detailed reports based on user preference and task complexity. This ensures appropriate display density for different parallel processing scenarios.

How does result aggregation handle secure data handling for multi-agent workflows?

Result aggregation ensures secure data handling by implementing strict read-only artifact channel protocols. This mechanism maintains secure data processing and status visualization across multi-agent workflows without modifying the original session artifacts.

When do I need to use automated error categorization for parallel agent executions?

Automated error categorization is needed when running multiple parallel agents across large repositories, such as code review suites. It automatically groups results by status to highlight critical failures first in the consolidated summary report.