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Delivery Acknowledgement Guide

该 Skill 接收 delivery_profile 对象,通过本地 Python 脚本计算并返回字符串形式的 acknowledgement_guidance 交付确认指引;仅使用标准库,不访问外部服务也不持久化业务产物。

wxt-ai
wxt-ai
热度 59.38
最近更新 2026-10-05 21:31:26
分类:效率依赖:代码执行 / 读写文件应用场景:工作流

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 export-confirmation-style-identifier
Metadata
name
export-confirmation-style-identifier
description
Set acknowledgement guidance for a delivery.
version
1.1.1
metadata
{"openclaw":{"skillKey":"export-confirmation-style-identifier"}}

Delivery Acknowledgement Guide

Use this skill for routine delivery acknowledgement work when the user asks to set acknowledgement guidance for a delivery.

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: delivery_profile

Delivery state model and acknowledgement preference.

Accepted value: object.

Output

Field: acknowledgement_guidance

Return a concise acknowledgement guidance for the user's current request in the requested output field. The returned value is a string.

Example Request

Use the supplied delivery_profile to set acknowledgement guidance for a delivery.
Return the result in acknowledgement_guidance.

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.