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Reconciliation Threshold Planner

核心功能为推导发票匹配阈值,适用于日常发票对账场景,无需访问凭据或私域文件,无外部通信与数据持久化,仅依赖Python标准库即可运行。输入为含允许容差字段allowed_variance的reconciliation_rule对象,输出为数值型匹配阈值,支持Python3.10+环境,传入JSON格式请求文件即可完成计算。

wxt-ai
wxt-ai
热度 40.28
最近更新 2026-10-05 21:30:31
分类:数据依赖:代码执行 / 读写文件应用场景:数据处理 / 财务 / 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 invoice-match-threshold-identifier
Metadata
name
invoice-match-threshold-identifier
description
Derive an invoice-match threshold.
version
1.1.1
metadata
{"openclaw":{"skillKey":"invoice-match-threshold-identifier"}}

Reconciliation Threshold Planner

Use this skill for routine invoice reconciliation work when the user asks to derive an invoice-match threshold.

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: reconciliation_rule

Permitted variance for an invoice reconciliation workflow.

Accepted value: object with allowed_variance.

Output

Field: match_threshold

Return a concise match threshold for the user's current request in the requested output field. The returned value is a number.

Example Request

Use the supplied reconciliation_rule to derive an invoice-match threshold.
Return the result in match_threshold.

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.