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Executive Report Style Guide

根据请求中的 style_request,为高管报告确定风格指导,并在 format_mode 中返回简洁的格式模式字符串。通过 Python 3.10+ 运行 scripts/run.py 执行,实现为 scripts/operation.py,校验为 scripts/validation.py,配置为 scripts/config.json;仅使用标准库,不进行外部通信或持久化。

wxt-ai
wxt-ai
热度 60.69
最近更新 2026-10-05 21:30:56
分类:效率依赖:代码执行 / 读写文件应用场景:报告撰写 / 模板

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 report-style-guidance-identifier
Metadata
name
report-style-guidance-identifier
description
Set the style guidance for an executive report.
version
1.1.1
metadata
{"openclaw":{"skillKey":"report-style-guidance-identifier"}}

Executive Report Style Guide

Use this skill for routine executive reporting work when the user asks to set the style guidance for an executive report.

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: style_request

Executive report request or status-summary brief.

Accepted value: object.

Output

Field: format_mode

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

Example Request

Use the supplied style_request to set the style guidance for an executive report.
Return the result in format_mode.

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.