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Multica Test T2 Coverage

Community
it235
multica-test-t2-coverage

T2 coverage evaluation—after G2 PASS, compare diff, contract and T1 Confluence; incremental body + Apifox scenarios + tests/e2e Playwright into repo. No XMind.

Overview

Publisherit235
Repositorymultica-best-practices
Skill namemultica-test-t2-coverage
Stars
199
Forks
29
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 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.

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/it235/multica-best-practices/tree/main/templates/en_US/skills/tester/multica-test-t2-coverage
  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/it235/multica-best-practices.git /tmp/multica-best-practices
mkdir -p .claude/skills
cp -r /tmp/multica-best-practices/templates/en_US/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 (Coverage Evaluation)

Only after G2 PASS, before T3. Evaluate "is T1 enough", do not execute environment verification.

Integrated from ac-coverage-t2-squad. Material assembly rules see multica-test-orchestration "Assemble from Comments".

5 Required Items (assemble from comments; stop if any missing)

#RequiredHow it counts as complete in comments
1Numbered AC- original textAC pasted in comments/description, or openable Jira/PRD link
2T1 Confluence linkt1-cases Confluence URL (preferred); or already-imported JIRA case set
3G2 PASS evidenceLeader writes G2 PASS
4Frontend + backend changesSHA + file list, or MR/PR link
5Post-implementation API contractApifox/OAS link, or N/A (reuse xxx)
OptionalNote
T1 design-trace summarymultica-test-t1-design design-trace table
T1 case-set linkURL of T1 case set already imported to test-management platform
Leader T1 review conclusionreview Pass record (not import authorization)

Missing any required item → output orchestration "Interrupted: awaiting human to add to Issue comments" table, do not write a coverage conclusion.

Flow

  1. Read all comments, assemble the 5 items; if missing → interruption list, stop.
  2. Must read T1 artifact: T1 Confluence t1-cases.md link (comments or JIRA description); T2 only writes delta relative to T1.
  3. For each AC-: implementation evidence (diff/contract)? Can T1 actually verify it? Need new interface cases?
  4. Signal mapping: new path/field → supplement interface case; new page/popup → supplement functional case; pure refactor → regression risk; AC present but diff absent → implementation gap.
  5. Confluence landing + automation into repo (see §§ below) → return T2 link.
  6. Output the template below. Conclusion only: evaluation complete or evaluation BLOCKED.

Supplemented cases must be written back to T1 Confluence: revise t1-cases → review → republish. After 👤 passphrase, optional XMind/JIRA phase C (see t1-design generation-workflow).

Automation into repo (T2 · Git)

See docs/test-automation-in-repo.md. Read first the MULTICA.md §2 of each repo in the Issue matrix.

TypePath source
UI PlaywrightMULTICA.md UI E2E (usually in frontend repo)
API manifestMULTICA.md API manifest (usually in backend repo)

Merge into: deploy branch; Leader comment posts the path in MULTICA + commit SHA.

Confluence Landing (T2)

Hard rule: include T1 Confluence link; supplemented CASE writes body (not just a table); no XMind.

Local draft: docs/test/<ISSUE-KEY>/t2-coverage.md
Baseline: 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 block: h3. T2 Coverage Evaluation (Coverage T2).

Platform Collaboration

Platform skillUsed for
multica-platform-confluenceRead T1 child page; publish t2-coverage.md
multica-platform-jiraIssue Hub; append link
multica-platform-apifoxT2 supplements scenarios by checklist

T2 material main source is still Issue comment assembly; T1 body uses Confluence t1-cases link as source of truth.

Output Template

markdown
# T2 Coverage Evaluation — {JIRA_KEY}

## Conclusion
**evaluation complete | evaluation BLOCKED** — {one line}

## Materials
- AC source / T1 case set / G2 SHA / change list / contract or N/A

## AC Coverage
| AC- | T1 case | Implementation evidence | Status |
|-----|---------|-------------------------|--------|
| | | | covered / false-covered / gap / not delivered / conditional case |

## Case Supplement List
| ID | Action | Required? | Note |
|----|--------|-----------|------|

## New interface cases needed
- none / yes (path + reason). Write target: multica-platform-apifox

## Regression risk
- …

Why it works

T2 only does static gap evaluation, separated from T3 runtime verification; automation assets land in T2, execute in T3.

Frequently asked questions

What does the Multica Test T2 Coverage AI skill do?

T2 coverage evaluation—after G2 PASS, compare diff, contract and T1 Confluence; incremental body + Apifox scenarios + tests/e2e Playwright into repo. No 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/en_US/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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