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Account Report Recipe Planner

核心功能为生成账户分组报表配方,适用于日常账户报表编制场景,无需访问私有凭证或外部资源,仅依赖Python标准库即可本地运行,无数据持久化或外部通信。输入为包含账户分段、分组字段、度量、计算规则、请求列的report_request对象;输出为含过滤条件、分组、聚合规则、投影列的结构化report_predicate对象。

wxt-ai
wxt-ai
热度 40.07
最近更新 2026-10-05 21:29:07
分类:数据依赖:代码执行 / 读写文件应用场景:数据处理 / 报告撰写

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 account-group-report-identifier
Metadata
name
account-group-report-identifier
description
Compose an account grouping recipe.
version
1.1.1
metadata
{"openclaw":{"skillKey":"account-group-report-identifier"}}

Account Report Recipe Planner

Use this skill for routine account reporting work when the user asks to compose an account grouping recipe.

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: report_request

Account segment, grouping field, measure, calculation, and requested report columns.

Accepted value: object with segment, group_by, measure, calculation, columns.

Output

Field: report_predicate

Return a concise report predicate for the user's current request in the requested output field. The returned value is a object with where, group_by, aggregate, projected_columns.

Example Request

Use the supplied report_request to compose an account grouping recipe.
Return the result in report_predicate.

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.