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Release Change Analyzer

该 Skill 接收仓库补丁字符串 commit_patch,通过本地 Python 脚本解析并返回 release_change_set,包含变更 ID、涉及文件、组件及新增/删除行数;仅用标准库,不联网、不持久化产物。

wxt-ai
wxt-ai
热度 39.69
最近更新 2026-10-05 21:22:04
分类:效率依赖:代码执行 / 读写文件应用场景:数据处理 / DevOps

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 repository-release-changes-identifier
Metadata
name
repository-release-changes-identifier
description
Summarize repository changes for a release.
version
1.1.1
metadata
{"openclaw":{"skillKey":"repository-release-changes-identifier"}}

Release Change Analyzer

Use this skill for routine release coordination work when the user asks to summarize repository changes for a release.

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: commit_patch

Repository patch supplied for a release handoff.

Accepted value: string.

Output

Field: release_change_set

Return a concise release change set for the user's current request in the requested output field. The returned value is a object with change_id, files, components, additions, deletions.

Example Request

Use the supplied commit_patch to summarize repository changes for a release.
Return the result in release_change_set.

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.