agent-qa

1. 安装并启动 DeepSeek Harness：npx @deepseek-ai/dsh web
2. 在终端执行上面的安装命令（CLI 会解析插件并核验来源）
3. 用 dsh plugins list 确认已安装，必要时重启 Harness 生效

插件以当前 dsh 进程的权限运行，安装时可能执行代码。请先通读仓库源码与许可证，确认无破坏性命令与越权访问；本站只做索引，不对第三方插件安全性作担保。

事实信息来自公开插件目录快照（2026-09-19），介绍文案由本站再加工。

以下为插件仓库 README 全文（原始内容，由公开目录抓取整理）。

[图片: agent-qa banner]

[图片: npm]

[图片: npm version]

[图片: GitHub stars]

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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 path in the same run. Tests recover from UI drift and flaky interactions instead of failing on the first broken action.

Self-improves with Memory: With every test run, agent-qa builds execution memory from product, suite, and test observations, then adds that context to future runs. agent-qa also curates memory from steps that were healed during execution, helping future runs avoid the same mistake.

Built for humans and machines: A polished dashboard and CLI for developers, plus MCP and skills for coding agents.

Accelerate runs with smart Cache: The action cache reuses validated plans across similar subsequent test runs, reducing planner work, token usage, and runtime overhead.

Run sandboxed hooks during tests: Run Node, Bun, Python, or Bash hooks in isolated Docker containers to set up environments, call APIs, seed fixtures, tear down state, or pass structured outputs back into the active test run.

Open source, reviewable QA: The harness is open source, and tests, configs, hooks, memory, and suite logic all live as version-controlled code, so every change can be diffed, reviewed, reused, and shared across teams.

Bring your own LLM: Run tests with the model of your choice via OpenAI- and Anthropic-compatible endpoints, Gemini, local or open-source models, and subscriptions like Codex and Claude Code.

Quickstart

Install the package:

npm install -D agent-qa

For Codex or Claude Code subscription auth, also install:

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

Install Docker before using hooks. agent-qa runs hooks in a sandboxed runtime, and Docker is required for the Node, Bun, Python, and Bash hook containers.

Initialize agent-qa and install the runtime support you need:

npx agent-qa init
npx agent-qa install-browsers --chromium
# Mobile projects:
npx agent-qa install-mobile-drivers --all

Start the dashboard, complete auth, and run tests from the UI:

npx agent-qa dashboard --open

For the full setup flow, use the quickstart.

CLI

Run tests from the CLI:

npx agent-qa run tests/hacker-news-top-story.yaml

Docs

Full docs

Quickstart

CLI reference

Dashboard

Configuration

License

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