- Fit
- 50 / 100
- Trust
- Verified source
- Setup
- MCP ready
- Before run
- 0 checks
No community evaluationAgentStaffer users have not submitted a review yet.
Full readiness snapshotCandidate summary and risk context stay available here.
前端代码生成前或评审时的反 slop 硬门禁。扫十条作者硬判断的视觉红线——Inter 字体、紫/蓝 AI 渐变(Lila Ban)、3 列等宽卡片、纯黑 #000、Lucide 默认图标、h-screen 全屏、通用占位数据(John Doe、99.99%)、AI 文案词(Elevate、Seamless、Unleash)、window.addEventListener('scroll')、圆形 spinner——给出违规项和具体修正参数。无状态门禁(不读取项目 knowledge/),和主语言软约束正交互补。触发信号:写前端代码前、review 代码时、看到"生成的页面像 AI 做的"、前端剧本显式路由。
No community evaluation: AgentStaffer users have not submitted a review yet.
Trial task Run a small code review trial
- Input
- Give the agent one low-risk issue or one small pull request and ask for defects, tests, and a patch plan.
- Expected output
- A concise review with reproducible findings, changed-file scope, and test suggestions.
- Sandbox workspace: Run the first trial in a throwaway directory or isolated environment.
- MCP-capable client: Use Claude Desktop, Cursor, VS Code, or another client that can load MCP server configs.
- Clear Install path reviewed
- Clear Trust evidence reviewed
- Install asks for production credentials or broad write access.
- Source or package cannot be verified from profile evidence.
Create evidence with POST /api/actions/run-trial. Keep the card short; open the full checklist in the trial JSON.