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
Ready-to-paste message
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-triageOr 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.mdTechnical 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
- Start with
agent_qa_get_runfor run status, suite child context, steps, and attempts. - Fetch evidence before deciding:
agent_qa_get_run_artifactagent_qa_get_run_stepsagent_qa_get_run_logsagent_qa_get_run_execution_logs
- Call
agent_qa_classify_failureand use its category as the default classification unless stronger evidence contradicts it. - Compare recent related runs when they are available in the classifier output.
- Return a concise triage result: category, confidence, evidence, likely fix area, and next action.
- For code changes, switch to
agent-qa-debug-fixafter triage is complete.
Categories
Use exactly one category from references/triage-categories.md:
timeoutappium_startupbrowser_disconnectelement_not_foundassertion_failurehook_failureinfrastructureunknown_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-fixfor 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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2057
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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