Maintainer of this skill?
Automated security scan — not a certification.
by vostride
Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.
# Add to your Claude Code skills
git clone https://github.com/vostride/agent-qaGuides for using ai agents skills like agent-qa.
Last scanned: 8/10/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-08-10T05:25:20.007Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how agent-qa compares with popular alternatives.
agent-qa is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by vostride. Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship. It has 856 GitHub stars.
Yes. agent-qa passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/vostride/agent-qa" and add it to your Claude Code skills directory (see the Installation section above).
agent-qa is primarily written in TypeScript. It is open-source under vostride on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agent-qa against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Your AI QA engineer, with memory. Describe a user journey in plain language. agent-qa tests it on web, Android or iOS and keeps the evidence. Use the CLI, the dashboard, or your coding agent through MCP and skills.
| Benchmark | Rank | Published result |
|---|---|---|
| AndroidWorld | #1 | 100% pass@1 (116/116 tasks) |
| AppControlBench | #1 | 99.6% completion (114.5/115 points) |
Read the full benchmark reports, with run evidence and methodology, on our blog. Both used gpt-6-sol with memory and self-improvement off; AppControlBench gives half credit for partial completion.
Inspect a failure. The demo catches a cart showing $29 instead of $53, with the failed step and its screenshot side by side.
See what memory contributed. Inspect the knowledge supplied to a run and trace it back to the steps that used it.
Run from your terminal. Real output from the demo suite: checkout passes; the deliberate cart-total bug fails.
Requires Node.js 24+.
npm install -D agent-qa
npx agent-qa init
Follow the quickstart to connect a model and run the demo, or set up with your coding agent.
[!NOTE] Early stage. Expect bugs. Report an issue when something breaks.