Multica Test T2 Coverage

Community

it235

multica-test-t2-coverage

T2 覆盖率评估：G2 PASS 后对照 diff、契约与 T1 Confluence；增量正文 + Apifox 补场景 + tests/e2e Playwright 入库。不生成 XMind。

Overview

Publisher	it235
Repository	`multica-best-practices`
Skill name	`multica-test-t2-coverage`
Stars	199
Forks	29
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 it235 on GitHub. Read the source before you install it.

Installation

Install the Multica Test T2 Coverage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/it235/multica-best-practices/tree/main/templates/zh_CN/skills/tester/multica-test-t2-coverage
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/it235/multica-best-practices/tree/main/templates/zh_CN/skills/tester/multica-test-t2-coverage

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/it235/multica-best-practices.git /tmp/multica-best-practices
mkdir -p .claude/skills
cp -r /tmp/multica-best-practices/templates/zh_CN/skills/tester/multica-test-t2-coverage .claude/skills/multica-test-t2-coverage

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multica Test T2 Coverage 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 Multica Test T2 Coverage 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 Multica Test T2 Coverage 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.

Test Coverage T2（覆盖率评估）

仅在 G2 PASS 之后、T3 之前。评估「T1 够不够」，不执行环境验证。

整合自 ac-coverage-t2-squad。材料拼接规则见 multica-test-orchestration「从评论拼接」。

必须 5 项（评论拼接；缺一则中断）

#	必须	评论中如何算齐
1	带编号 AC- 原文	评论/描述贴出 AC，或可打开的 Jira/PRD 链接
2	T1 Confluence 链接	t1-cases Confluence URL（优先）；或已 import 的 JIRA 用例集
3	G2 PASS 证据	Leader 写明 G2 PASS
4	前端+后端变更	SHA + 文件列表，或 MR/PR 链接
5	实现后 API 契约	Apifox/OAS 链接，或 N/A（复用 xxx）

可选	说明
T1 设计追溯摘要	`multica-test-t1-design` design-trace 表
T1 用例集链接	已导入测试管理平台的 T1 用例集 URL
Leader T1 评审结论	review Pass 记录（非导入授权）

缺任一项必需 → 输出 orchestration「中断：待人类在 Issue 评论补充」表，不要写覆盖率结论。

流程

读全评论拼接 5 项；缺失 → 中断名单，停止
必读 T1 产物：T1 Confluence t1-cases.md 链接（评论或 JIRA 描述）；T2 只写相对 T1 的增量
对每条 AC-：实现证据（diff/契约）？T1 是否真能验到？是否需新接口用例？
信号映射：新 path/字段 → 接口补例；新页/弹窗 → 功能补例；纯重构 → 回归风险；AC 有而 diff 无 → 实现缺口
Confluence 落地 + 自动化入库（见下 §§）→ 回传 T2 链接
输出下述模板。结论只用：评估完成 或 评估 BLOCKED

补例需回写 T1 Confluence：修订 t1-cases → review → republish。👤 口令后可选 XMind/JIRA 阶段 C（见 t1-design generation-workflow）。

自动化入库（T2 · Git）

见 docs/test-automation-in-repo.md。开工先读 Issue 矩阵中各 repo 的 MULTICA.md §2。

类型	路径来源
UI Playwright	MULTICA.md `UI E2E`（分仓通常在前端 repo）
API manifest	MULTICA.md `API manifest`（通常在后端 repo）

合入：deploy branch；Leader 评论贴 MULTICA 中的路径 + commit SHA。

Confluence 落地（T2）

硬规则：含 T1 Confluence 链接；补充 CASE 写正文（非仅表格）；不生成 XMind。

本地草稿：docs/test/<ISSUE-KEY>/t2-coverage.md
基线：multica-platform-confluence/scripts/templates/test-t2-template.md

bash
python multica-platform-confluence/scripts/publish_design.py \
  <ISSUE-KEY> docs/test/<ISSUE-KEY>/t2-coverage.md \
  --append-jira --json

JIRA 块：h3. T2 覆盖率评估 (Coverage T2)。

Platform 协作

Platform skill	本 skill 用途
`multica-platform-confluence`	读 T1 子页；发布 `t2-coverage.md`
`multica-platform-jira`	Issue Hub；append 链接
`multica-platform-apifox`	T2 按清单补场景

T2 材料主来源仍为 Issue 评论拼接；T1 正文以 Confluence t1-cases 链接 为准。

输出模板

markdown
# T2 覆盖率评估 — {JIRA_KEY}

## 结论
**评估完成 | 评估 BLOCKED** — {一句话}

## 材料
- AC 来源 / T1 用例集 / G2 SHA / 变更清单 / 契约或 N/A

## AC 覆盖
| AC- | T1 用例 | 实现证据 | 状态 |
|-----|---------|----------|------|
| | | | 已覆盖 / 假覆盖 / 缺口 / 实现未交付 / 条件用例 |

## 用例补充清单
| ID | 动作 | 必须? | 说明 |
|----|------|-------|------|

## 需新接口用例
- 无 / 有（path+原因）。写入端：multica-platform-apifox

## 回归风险
- …

为什么有效

T2 只做静态缺口评估，与 T3 运行时验证分离；自动化资产在 T2 入库、T3 执行。

Frequently asked questions

What does the Multica Test T2 Coverage AI skill do?

T2 覆盖率评估：G2 PASS 后对照 diff、契约与 T1 Confluence；增量正文 + Apifox 补场景 + tests/e2e Playwright 入库。不生成 XMind。

Why use Multica Test T2 Coverage on TypingMind?

Because you install it once and use it with any model. Multica Test T2 Coverage 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 Multica Test T2 Coverage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/it235/multica-best-practices/tree/main/templates/zh_CN/skills/tester/multica-test-t2-coverage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Multica Test T2 Coverage?

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 Multica Test T2 Coverage?

As many as you like. As long as a model supports skills, you can use Multica Test T2 Coverage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Multica Test T2 Coverage AI skill free?

Yes. It is published on GitHub by it235 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Test Coverage T2（覆盖率评估）

必须 5 项（评论拼接；缺一则中断）

流程

自动化入库（T2 · Git）

Confluence 落地（T2）

Platform 协作

输出模板

为什么有效

Frequently asked questions

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