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Qa Agent Testing

Listed
vasilyu1983·vlatest·testing·MIT

Automates QA testing workflows by generating test cases, executing them, and reporting results based on provided prompts.

Repository

Install on your platform

This skill no longer installs under the name qa-agent-testing. vasilyu1983/ai-agents-public is deleted or private, so it cannot be installed from.

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

vasilyu1983

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 18 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: arxiv.org, crfm.stanford.edu, deepeval.com, docs.garak.ai, docs.langchain.com….

    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.

    Hosts contacted

    www.nist.govundeclaredgenai.owasp.orgundeclaredeur-lex.europa.euundeclaredgithub.comsource hostwww.anthropic.comundeclareddocs.anthropic.comdocumentationplatform.openai.comdocumentationdeepeval.comundeclaredwww.braintrust.devundeclaredlangfuse.comundeclareddocs.ragas.ioundeclaredcrfm.stanford.eduundeclaredinspect.aisi.org.ukundeclaredwww.aisi.gov.ukundeclaredgvisor.devundeclaredarxiv.orgundeclareddocs.langchain.comundeclaredwww.promptfoo.devundeclareddocs.garak.aiundeclaredmicrosoft.github.ioproject documentationwww.cse.ust.hkundeclareduiuc-kang-lab.github.ioproject documentationepoch.aiundeclared

    What it found (3 of 33)

    • skills/universal/qa-agent-testing/data/sources.json:16contacts www.nist.gov
      "url": "https://www.nist.gov/itl/ai-risk-management-framework",
    • skills/universal/qa-agent-testing/data/sources.json:23contacts genai.owasp.org
      "url": "https://genai.owasp.org/llm-top-10/",
    • skills/universal/qa-agent-testing/data/sources.json:30contacts genai.owasp.org
      "url": "https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/",

  • 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 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 vasilyu1983/ai-agents-public at 3ee3637d25.

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

Commit
3ee3637d25
Manifest
skills/universal/qa-agent-testing/SKILL.md
Scanned
26 files, 3,779 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

qa-agent-testing

What it does

This skill enables AI agents to execute automated quality assurance testing workflows. It allows agents to validate software functionality, check for bugs, and ensure system reliability through structured test execution.

When to use it

  • Automated Regression: Run repetitive test suites after deploying code updates to prevent breaking changes.
  • CI/CD Integration: Trigger validation checks automatically within your continuous integration pipeline before merging pull requests.
  • Manual Test Expansion: Delegate tedious, deterministic testing tasks to agents so human testers can focus on complex exploratory scenarios.
  • Performance Baseline: Establish and monitor performance metrics by running consistent load tests over time.

Key capabilities

  • Executes predefined test scripts autonomously
  • Generates detailed reports on pass/fail results
  • Identifies and logs specific errors or anomalies found during testing
  • Supports integration with standard testing frameworks

Example prompts

  • "Run the full regression suite for the checkout module and summarize any failures."
  • "Execute the new user registration tests and provide a report of edge cases that failed."
  • "Validate the API endpoints against our latest schema and list any response mismatches."

Tips & gotchas

Ensure your test environment is isolated and stable, as external dependencies can cause false positives. Define clear success criteria in your prompts to help the agent interpret ambiguous test results accurately.