csv 技能规划
- 作者仓库星标 26,887
- 作者仓库 openai-agents-python
CSV Workbench
Use this skill when the user asks for quick analysis of tabular data.
Workflow
- Inspect the CSV schema first (
head,python csv.DictReader, or both). - Compute requested aggregates with a short Python script.
- Return concise results with concrete numbers and units when available.
Constraints
- Prefer Python stdlib for portability.
- If data is missing or malformed, state assumptions clearly.
- Keep the final answer short and actionable.
- 流狐分类
- 数据
- 作者声明 Agent
- 未找到明确声明；不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描，不代表运行安全
- 作者 / 版本 / 许可
- @openai · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 即装即用
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- 未声明
- 底层运行要求
- Python
- 检测到的文件与系统行为
-
- 只读
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无（仅作为资料）
档案由构建时根据 SKILL.md 与安装命令自动衍生，可能与作者实际意图存在差异。
需要注意： 未限定 allowed-tools，默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Workflow
Inspect the CSV schema first (head, python csv.DictReader, or both). Compute requested aggregates with a short Python script. Return concise results with concrete numbers and units when available.
Constraints
Prefer Python stdlib for portability. If data is missing or malformed, state assumptions clearly. Keep the final answer short and actionable.
# CSV Workbench
Use this skill when the user asks for quick analysis of tabular data.
## Workflow
1. Inspect the CSV schema first (`head`, `python csv.DictReader`, or both).
2. Compute requested aggregates with a short Python script.
3. Return concise results with concrete numbers and units when available.
## Constraints
- Prefer Python stdlib for portability.
- If data is missing or malformed, state assumptions clearly.
- Keep the final answer short and actionable. 证据边界与执行链路
作者原文负责流程事实；流狐只索引当前章节、要点、文件与命令。
章节 -> Workflow → Constraints
要点 -> Use this skill when the user asks for quick analysis of tabular data. · 1. Inspect the CSV schema first (head, python csv.DictReader, or both). · - Prefer Python stdlib for portability.
文件/命令 -> head · python csv.DictReader
内容 SHA-256 -> 9681167ba4dd
方法与流程
适用与边界
原文中的明确线索
head、python csv.DictReader