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Qa Assistant

Checked
caomeiyouren·vlatest·testing·MIT

The Qa Assistant helps you quickly generate questions and answers from text, streamlining content creation and knowledge extraction.

Repository

Install on your platform

This skill no longer installs under the name qa-assistant. SKILL.md is marked internal, so the skills CLI hides it.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

caomeiyouren

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned caomeiyouren/momei at 02346816ce.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
02346816ce
Manifest
.github/skills/qa-assistant/SKILL.md
Scanned
1 file, 32 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The QA Assistant skill helps users test and improve AI agent responses. It can identify potential issues in generated text, such as factual inaccuracies or logical inconsistencies. This allows for more reliable and trustworthy outputs from AI agents across various applications.

When to use it

  • Evaluating chatbot performance: Assess a chatbot's ability to provide accurate and helpful information.
  • Reviewing content generation: Check articles or marketing copy created by an AI agent for errors before publishing.
  • Debugging AI workflows: Identify weaknesses in complex AI pipelines that generate responses.
  • Improving prompt engineering: Refine prompts to elicit more consistent and high-quality results from AI agents.

Key capabilities

  • Factual accuracy assessment
  • Logical consistency checks
  • Identification of potential errors
  • Response evaluation

Example prompts

  • "Evaluate the following response for factual inaccuracies: [AI agent response]"
  • "Check this text for logical inconsistencies: [Text to be checked]"
  • "Can you identify any potential problems with this AI-generated article?"

Tips & gotchas

The QA Assistant is most effective when provided with clear and concise responses or text. It's a tool to assist in quality assurance, not replace human review entirely.