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Nexent Daily Test

OrganizationPopular
ModelEngine-Group
nexent-daily-test

在 Ubuntu 自托管测试机上编排 Nexent 每日分层全量测试、维护本地测试基线和 P0 Playwright 候选代码,并将证据仅保存在本机。用于 OpenCode 执行 Daily/手工全量测试;不用于 PR 测试或外部结果发布。

Overview

PublisherModelEngine-Group
Repositorynexent
Skill namenexent-daily-test
Stars
6.1K
Forks
764
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ModelEngine-Group on GitHub. Read the source before you install it.

Installation

Install the Nexent Daily Test AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ModelEngine-Group/nexent/tree/develop/test-e2e/infra/assets/skills
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ModelEngine-Group/nexent.git /tmp/nexent
mkdir -p .claude/skills
cp -r /tmp/nexent/test-e2e/infra/assets/skills .claude/skills/nexent-daily-test
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nexent Daily Test in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nexent Daily Test on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nexent Daily Test is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Nexent Daily Test

以 config/test-policy.yaml 和本批 agent-input/execution-plan.json 为执行事实源。测试必须按最低有效层验证:单元/组件、服务/协议、真实 AI Runtime、浏览器 Journey、专项测试不能相互冒充。

开始前

确认环境变量 TEST_ROOT、NEXENT_REPO、BASE_SHA、HEAD_SHA、RESULT_DIR 和 TEST_BATCH 均存在。完整读取:

部署由外层入口调用 nexent-deploy 完成。部署证据不存在或站点未就绪时停止功能测试,记录基础设施阻塞;不要把所有用例批量写成产品失败。

不可破坏的边界

  • 不把测试结果、Excel、截图、Trace、视频、Prompt、模型响应上传 GitHub,不写 GITHUB_STEP_SUMMARY,不创建 Issue/PR。
  • 不修改 Nexent 业务代码。允许的持久维护目标只有本地测试资产;OpenCode 本批只能向 RESULT_DIR 写候选内容,由外层脚本校验后再提升。
  • 产品模型、Embedding、Rerank、VLM、STT、TTS 必须使用 config/models.yaml 与 config/secrets.env 中启用的真实配置;故障注入可以使用本地受控端点。
  • OAuth、CAS、外部 A2A/Nacos 的专用 Playwright Journey 服从 test-policy.yaml。标记为 SKIPPED_BY_POLICY 的项不得启动外部服务、不得改记为 PASS。
  • Playwright 只用于 PW-E2E Journey;BE-UT、SDK-UT、FE-COMP、API-IT、CONTRACT、AGENT-IT、DEPLOY、SEC、REL 使用各自最低验证层。
  • 只清理带本批 TEST_BATCH/run_id 且能确认由本批创建的数据,不删除共享数据、Docker volume 或历史结果。

完成条件

  1. execution-plan.json 中每个活动项恰有一条本批结果;策略排除项保留预置的 SKIPPED_BY_POLICY。
  2. 每条执行结果在完成后立即追加到 checkpoints/results.jsonl,失败或阻塞附可定位证据。
  3. agent-output/change-set.json、case-maintenance.json、playwright-maintenance.json 均存在且符合参考文件约定。
  4. 详细日志与证据只在 RESULT_DIR;标准输出保持最小且不含 secret、用例详情或模型回答。
  5. 不因为后续层失败丢弃前面层的真实结果;最终状态由 D6 汇总确定。

Frequently asked questions

What does the Nexent Daily Test AI skill do?

在 Ubuntu 自托管测试机上编排 Nexent 每日分层全量测试、维护本地测试基线和 P0 Playwright 候选代码,并将证据仅保存在本机。用于 OpenCode 执行 Daily/手工全量测试;不用于 PR 测试或外部结果发布。

Why use Nexent Daily Test on TypingMind?

Because you install it once and use it with any model. Nexent Daily Test is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nexent Daily Test in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ModelEngine-Group/nexent/tree/develop/test-e2e/infra/assets/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nexent Daily Test?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nexent Daily Test?

As many as you like. As long as a model supports skills, you can use Nexent Daily Test with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nexent Daily Test AI skill free?

Yes. It is published on GitHub by ModelEngine-Group under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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