agentclash-compare-and-triage

Compare AI agent evaluation runs and triage failure evidence via AgentClash CLI.

25|2|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/agentclash/agentclash --skill agentclash-compare-and-triage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentclash-compare-and-triage
Source: https://github.com/agentclash/agentclash/tree/main/web/content/agent-skills/agentclash-compare-and-triage
Command: npx skills add https://github.com/agentclash/agentclash --skill agentclash-compare-and-triage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the difficulty of identifying performance regressions and understanding why AI agents fail by providing a unified workflow for comparison, gate evaluation, and evidence triage.

Core Features & Use Cases

  • Regression Analysis: Compare candidate agent runs against established baselines to detect performance drops.
  • CI/CD Gating: Automate release gate verdicts with exit codes to block or allow deployments based on eval results.
  • Evidence Triage: Generate structured triage envelopes including scorecards, failure taxonomy, and replay steps to accelerate debugging.

Quick Start

Use the agentclash compare and triage skill to compare the latest agent run against your saved baseline and generate a triage report.

Frequently Asked Questions about agentclash-compare-and-triage

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

FAQPage Schema
Can I automate CI/CD release gating based on AI agent evaluation results?

Compare evaluation runs to detect agent performance regressions by measuring candidate agent runs against saved baselines. The comparison identifies performance drops and generates structured evidence for debugging.

How do I compare AI agent evaluation runs against a baseline?

Agent evaluation results can automate CI/CD release gating by outputting specific exit codes. These verdicts block or allow deployments automatically based on whether the candidate run passes the regression threshold.

Do I need a specific environment to triage agent failure evidence?

Comparing AI agent evaluation runs against a baseline requires executing comparison commands via the AgentClash CLI. This highlights performance drops and outputs scorecards detailing the differences between the runs.

What is included in a structured triage envelope for debugging AI agents?

Triage of agent failure evidence requires a configured AgentClash workspace and access to the AgentClash CLI. These components execute the commands needed to generate structured triage envelopes and replay analysis.

What is the best way to automate regression testing for AI agents?

A structured triage envelope for debugging AI agents includes scorecards, failure taxonomy, and detailed replay steps. This evidence accelerates debugging by providing a unified workflow for understanding why agents fail.