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nm-abstract-subagent-testingnm 抽象子 Agent 测试

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

5,042

周安装

202

GitHub Stars

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下载量

1,632
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nm-abstract-subagent-testing(nm 抽象子 Agent 测试)
来源仓库:https://github.com/athola/nm-abstract-subagent-testing
安装命令:
openclaw skills install nm-abstract-subagent-testing
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install nm-abstract-subagent-testing

简介

nm-abstract-subagent-testing 使用子代理执行 RED/GREEN/REFACTOR TDD 测试。

  • 适合在自动化测试设计和回归验证中提高覆盖率准确性。
  • 支持端到端测试生成和失败日志分析,加速问题定位。
  • 安装命令:openclaw skills install nm-abstract-subagent-testing。
  • 需区分本地模拟与真实服务调用,避免误操作生产环境。

SKILL.md

name
subagent-testing
description
Test skills via RED/GREEN/REFACTOR TDD with fresh subagents
version
1.8.2
triggers
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/abstract", "emoji": "\�\�"}}
source
claude-night-market
source_plugin
abstract
Night Market Skill — ported from claude-night-market/abstract. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Subagent Testing - TDD for Skills

Test skills with fresh subagent instances to prevent priming bias and validate effectiveness.

Table of Contents

  1. Overview
  2. Why Fresh Instances Matter
  3. Testing Methodology
  4. Quick Start
  5. Detailed Testing Guide
  6. Success Criteria

Overview

Fresh instances prevent priming: Each test uses a new Claude conversation to verify the skill's impact is measured, not conversation history effects.

Why Fresh Instances Matter

The Priming Problem

Running tests in the same conversation creates bias:

  • Prior context influences responses
  • Skill effects get mixed with conversation history
  • Can't isolate skill's true impact

Fresh Instance Benefits

  • Isolation: Each test starts clean
  • Reproducibility: Consistent baseline state
  • Measurement: Clear before/after comparison
  • Validation: Proves skill effectiveness, not priming

Testing Methodology

Three-phase TDD-style approach:

Phase 1: Baseline Testing (RED)

Test without skill to establish baseline behavior.

Phase 2: With-Skill Testing (GREEN)

Test with skill loaded to measure improvements.

Phase 3: Rationalization Testing (REFACTOR)

Test skill's anti-rationalization guardrails.

Quick Start

# 1. Create baseline tests (without skill)
# Use 5 diverse scenarios
# Document full responses

# 2. Create with-skill tests (fresh instances)
# Load skill explicitly
# Use identical prompts
# Compare to baseline

# 3. Create rationalization tests
# Test anti-rationalization patterns
# Verify guardrails work

Detailed Testing Guide

For complete testing patterns, examples, and templates:

Success Criteria

  • Baseline: Document 5+ diverse baseline scenarios
  • Improvement: ≥50% improvement in skill-related metrics
  • Consistency: Results reproducible across fresh instances
  • Rationalization Defense: Guardrails prevent ≥80% of rationalization attempts

See Also

  • skill-authoring: Creating effective skills
  • bulletproof-skill: Anti-rationalization patterns
  • test-skill: Automated skill testing command

适合场景

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能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.59%
按下载量换算1,576

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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