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general-quality
General response quality evaluation. Always applicable regardless of domain. Covers response structure, actionability, clarity, and hallucination detection.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=databricks-solutions-ai-dev-kit-test-eval-criteria-general-quality-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name general-quality description General response quality evaluation. Always applicable regardless of domain. Covers response structure, actionability, clarity, and hallucination detection. metadata {"category":"evaluation","version":"1.0","applies_to":[]} General Quality Rubric When evaluating any Claude Code agent trace, check these dimensions: 1. Actionable Output Can the user directly use the response (copy-paste code, follow steps)? Are code examples complete and runnable, not fragments? Are file paths, table names, and API references concrete? 2. Structured Response Code is in fenced code blocks with correct language tags Steps are numbered or bulleted for multi-step tasks Explanations are concise — answer first, context after 3. No Hallucination All referenced APIs, functions, and parameters must actually exist Databricks features must be current (not deprecated) Tool names in traces must match real MCP tool names No invented catalog/schema/table names unless the user specified them 4. Conciseness Answers the question without excessive preamble or disclaimers Doesn't repeat the question back Doesn't explain basic concepts the user didn't ask about 5. Error Handling If the agent encountered errors during execution, did it recover? Did it explain errors to the user when relevant? Did it avoid silently swallowing failures?
Agent 识别该技能的关键词，点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
