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Workspace Access Comparator

根据输入的当前与已批准工作区成员名单,计算访问差异,输出新增、移除、角色变更和外部成员条目;由 Python 脚本在本地运行,仅使用标准库,不进行外部通信,也不持久化业务产物。

wxt-ai
wxt-ai
热度 39.36
最近更新 2026-10-05 21:24:12
分类:协作依赖:代码执行 / 读写文件应用场景:数据处理 / 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 workspace-access-checklist-identifier
Metadata
name
workspace-access-checklist-identifier
description
Compare workspace access lists.
version
1.1.1
metadata
{"openclaw":{"skillKey":"workspace-access-checklist-identifier"}}

Workspace Access Comparator

Use this skill for routine collaboration operations work when the user asks to compare workspace access lists.

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: sharing_acl_json

Current and approved workspace membership lists.

Accepted value: object with workspace_id, current_members, approved_members.

Output

Field: access_delta

Return a concise access delta for the user's current request in the requested output field. The returned value is a object with workspace_id, added, removed, role_changed, external_entries.

Example Request

Use the supplied sharing_acl_json to compare workspace access lists.
Return the result in access_delta.

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.