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Agents48k · #2057

agent-qa-result-triage

Analyzes failures in AI agent tests. It examines the results, identifies the cause of the error, and suggests next steps. Helps to resolve problems quickly.

What it does

This tool helps understand why an automated test failed. It examines the evidence left by the test, such as logs and files, to identify the problem, its confidence level, and the next steps.

When to use it

  • ✓When an automated test fails and you need to know why.
  • ✓To review test details, including logs and generated files.
  • ✓To compare recently failed tests and identify recurring issues.

Example of what to ask your AI

“Analyze the login automated test failure, tell me what happened, the confidence level, and the next action.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/agent-qa-result-triage/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/agent-qa-result-triage/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool gathers information from the failed test, like executed steps, artifacts, and logs. It then uses this data to classify the error type and suggest a course of action.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill agent-qa-result-triage

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/agent-qa-result-triage/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Agent QA Result Triage

Overview

Classify a failed Agent QA run from its recorded evidence instead of guessing. Inspect the run, steps, artifacts, and logs; choose one fixed category; and return confidence, likely ownership, and the next evidence-backed action.

When to Use

  • Investigating a failed or interrupted Agent QA run.
  • Inspecting run artifacts, step results, or execution logs.
  • Comparing recent related runs for recurring failure patterns.
  • Deciding whether a failure belongs to a test, product, hook, browser/mobile runtime, or infrastructure owner.

Workflow

  1. Start with agent_qa_get_run for run status, suite child context, steps, and attempts.
  2. Fetch evidence before deciding:
    • agent_qa_get_run_artifact
    • agent_qa_get_run_steps
    • agent_qa_get_run_logs
    • agent_qa_get_run_execution_logs
  3. Call agent_qa_classify_failure and use its category as the default classification unless stronger evidence contradicts it.
  4. Compare recent related runs when they are available in the classifier output.
  5. Return a concise triage result: category, confidence, evidence, likely fix area, and next action.
  6. For code changes, switch to agent-qa-debug-fix after triage is complete.

Categories

Use exactly one category from references/triage-categories.md:

  • timeout
  • appium_startup
  • browser_disconnect
  • element_not_found
  • assertion_failure
  • hook_failure
  • infrastructure
  • unknown_failure

Evidence Rules

  • Quote or summarize concrete artifact, log, or step evidence.
  • Mention missing artifact sections when they limit confidence.
  • Do not invent screenshots, videos, logs, or memory context that MCP did not return.
  • If MCP is unavailable, use dashboard REST APIs or Agent QA CLI output as a fallback and state which evidence was unavailable.
  • Redact credentials, session tokens, personal data, and unrelated application content from the report.

Example

{
  "category": "element_not_found",
  "confidence": "high",
  "evidence": ["Step 4 could not resolve the described checkout button"],
  "likely_fix_area": "test definition or changed product UI",
  "next_action": "Inspect the captured UI context, then compare the current checkout screen"
}

Limitations

  • Classification is only as reliable as the retained run artifacts and logs.
  • A failure category identifies the most likely failure surface; it does not prove root cause.
  • Missing screenshots, DOM/accessibility context, device logs, or prior runs must lower confidence.
  • This skill does not modify tests or application code; use agent-qa-debug-fix for an authorized repair.
FAQ

What is 'evidence'?

It refers to the traces left by the test, such as error messages in logs, generated files, or the results of each step.

What does 'confidence' mean?

It indicates how certain the tool is about the cause of the failure. High confidence means it's sure, while low confidence suggests other explanations might exist.

Does this tool fix the error?

No, it only identifies the problem and suggests what to do. Fixing it will require another tool or a developer.

Details

Original description by the author

Triage failed Agent QA runs with MCP evidence, artifacts, logs, fixed failure categories, confidence, and actionable next steps.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2057
License
MIT
Updated
10/15/2026

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