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Agent Qa Result Triage

CommunityPopular
sickn33
agent-qa-result-triage

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

Overview

Publishersickn33
Repositoryagentic-awesome-skills
Skill nameagent-qa-result-triage
Stars
46.5K
Forks
6.8K
Bundled files
1
LicenseFSL-1.1-ALv2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by sickn33 on GitHub. Read the source before you install it.

Installation

Install the Agent Qa Result Triage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills
mkdir -p .claude/skills
cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/agent-qa-result-triage .claude/skills/agent-qa-result-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Qa Result Triage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Qa Result Triage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Qa Result Triage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

json
{
  "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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agent Qa Result Triage AI skill do?

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

Why use Agent Qa Result Triage on TypingMind?

Because you install it once and use it with any model. Agent Qa Result Triage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Qa Result Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sickn33/agentic-awesome-skills/tree/main/plugins/agentic-awesome-skills-claude/skills/agent-qa-result-triage. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Qa Result Triage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Qa Result Triage?

As many as you like. As long as a model supports skills, you can use Agent Qa Result Triage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Qa Result Triage AI skill free?

Yes. It is published on GitHub by sickn33 under the FSL-1.1-ALv2 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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