agent-qa: Open-source self-improving QA agent for software teams

by vostride · MCP Server · ★ 856

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: browser-use, Playwright MCP & AI Browser Agents

How to install agent-qa

npm install -D agent-qa
npm install -D @vostride/agent-qa-subscription-auth

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-testinganthropicautonomous-agentsbrowser-automationchatgptclaude-codeclawdbotcodexdeveloper-tools

Quick Facts

Stars856
Forks24
LanguageTypeScript
CategoryMCP Server
Quality Score66/100
Open Issues6
Last Updated2026-11-07
Created2026-05-07
Platformsbrowser, claude-code, codex, mcp, node
Est. Tokens~15k

About agent-qa

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.

Compatible Skills

These tools work well together with agent-qa for enhanced workflows:

  • qaskills — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse MCP Server tools