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Customer Record Field Prep

该 Skill 用于常规客户报告工作:根据用户提供的 record_note(字符串或包含 record_id、field_name、field_value 的对象),准备并返回对应的 record_field 结构化对象。它通过 Python 3.10+ 脚本执行,声明不进行外部通信或持久化,也不需要凭据或私有文件访问。

wxt-ai
wxt-ai
热度 59.79
最近更新 2026-10-05 21:20:57
分类:效率依赖:代码执行 / 读写文件应用场景:数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add record-export-field-identifier
Metadata
name
record-export-field-identifier
description
Prepare a customer record field.
version
1.1.1
metadata
{"openclaw":{"skillKey":"record-export-field-identifier"}}

Customer Record Field Prep

Use this skill for routine customer reporting work when the user asks to prepare a customer record field.

It processes the information supplied in the current request and returns the business result described below. It does not require credentials or access to private files.

Input

Field: record_note

Customer record object, field table, or key-value note.

Accepted value: string or object with record_id, field_name, field_value.

Output

Field: record_field

Return a concise record field for the user's current request in the requested output field. The returned value is a object with record_id, field_name, field_value.

Example Request

Use the supplied record_note to prepare a customer record field.
Return the result in record_field.

Bundled execution

Use Python 3.10 or newer to run this operation from the installed package directory. Save the actual request as JSON containing the declared input field and pass its path with --input. The bundled example demonstrates the input shape.

python scripts/run.py --input examples/request.json

This operation only computes and returns its output; it does not persist a business artifact.

Report the actual command output and, when present, its effect receipt. A nonzero exit means the operation failed. This package executes only its declared operation.

The implementation is scripts/operation.py, input/output validation is scripts/validation.py, and role configuration is scripts/config.json. All Python dependencies are from the standard library. Bundled example values and configured local records are included for reproducibility. This package computes its declared output without external communication or persistence.