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Skill · Testing

Agent qa result triage

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

Agentic Awesome SkillsLicense: FSL-1.1-ALv2Added Sep 5, 2026
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How to use it

  1. Start your plan and connect your AI once
  2. Add the skill to your AI, one time only: press Copy skill and paste it into your AI's instructions: a project in ChatGPT, Claude or Grok, a Gem in Gemini, an agent in Microsoft 365 Copilot, or a rule in Cursor. It stays there for every new chat. In Kimi, paste it at the start of a new chat.
  3. Ask for the task in your own words, or say it directly:
Use the Agent qa result triage skill to help me with this.
SKILL.md2 files in this skill

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
  1. Call agent_qa_classify_failure and use its category as the default classification unless stronger evidence contradicts it.
  2. Compare recent related runs when they are available in the classifier output.
  3. Return a concise triage result: category, confidence, evidence, likely fix area, and next action.
  4. 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.