No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vostride · MCP Server · ★ 900
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-qa safe to install? View the security audit →
Docs · Demo · Issues agent-qa The self-improving Agentic QA harness with Memory Write tests in natural language for web and mobile. agent-qa learns from past runs, adapts to UI changes, and catches regressions before you ship. Docs | Quickstart Features Write tests in natural language for web and mobile: Define actions and assertions in human language while agents work from visible roles, labels, and screen state. Self-healing test execution: When any sub-action, such as click, fill, or select, fails, agent-qa re-observes the UI and tries a different
| Stars | 900 |
| Forks | 13 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 66.0206763651769/100 |
| Last Updated | 2026-08-03 |
| Created | 2026-05-07 |
| Platforms | browser, claude-code, codex, mcp, node |
| Est. Tokens | ~15k |
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agent-qa is The 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 regres. It is categorized as a MCP Server with 900 GitHub stars.
agent-qa is primarily written in TypeScript. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the agent-qa GitHub repository at github.com/vostride/agent-qa. The project has 900 stars and 13 forks, indicating an active community.
The top alternatives to agent-qa on Agent Skills Hub include orchestkit, agent-skills, claude-code-plugins-plus-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: