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Multica Review Test

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it235
multica-review-test

Test-artifact dedicated review framework. Called by TestReviewer to professionally analyze Tester's cases/report/coverage doc (coverage depth/acceptance mapping/coverage reasonableness/conclusion truth/contract consistency), output PASS/FAIL + fix list, report to Leader.

Overview

Publisherit235
Repositorymultica-best-practices
Skill namemultica-review-test
Stars
199
Forks
29
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepository
  • 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 Review 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/it235/multica-best-practices/tree/main/templates/en_US/skills/reviewer/multica-review-test
  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/reviewer/multica-review-test .claude/skills/multica-review-test
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multica Review 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 Multica Review 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 Multica Review 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.

Test Artifact Professional Review (TestReviewer)

Structured professional review framework for test artifacts (functional/API cases, test report, coverage doc). Called by TestReviewer; reviews the links Tester returns via multica-test-orchestration (case set / report), plus acceptance + related implementation change links Leader passes.

When to use

  • TestReviewer receives a "review test artifact" dispatch from Leader (case review / report review both apply).
  • Entering a re-review round after test-artifact changes (check previous round's fix list item by item).

Review dimensions (conclusion per item)

  1. Coverage depth: normal / boundary / exception / permission / compatibility paths covered.
  2. Acceptance mapping: every AC- backed by an executable case.
  3. Coverage reasonableness: metrics truly reflect risk points, no hiding critical uncovered paths.
  4. Conclusion truth: pass/fail based on real execution evidence, defects reproducible.
  5. Contract consistency: case params, assertions aligned with BackendDev contract.

Output format

【Test Artifact Review】<test link>
Conclusion: PASS / FAIL
Blocking items (required on FAIL, each: rationale / involved point / fix direction):
- ...
Suggestions (non-blocking):
- ...
Previous fix-list check (re-review): resolved X / unresolved Y
Round: N / 3

Conclusion + fix list reported to Leader; don't modify cases or notify Tester yourself.

Boundaries

  • Review only test artifacts, not architecture, requirements, UI, frontend/backend implementation, or code unit tests.
  • Don't replace Leader's generic gate (multica-verification skill).
  • Implementation-layer quality goes to the matching dedicated Reviewer; you own test-artifact professionalism.
  • Still FAIL at round 3 → mark "escalate to human", hand to Leader, stop looping.

Frequently asked questions

What does the Multica Review Test AI skill do?

Test-artifact dedicated review framework. Called by TestReviewer to professionally analyze Tester's cases/report/coverage doc (coverage depth/acceptance mapping/coverage reasonableness/conclusion truth/contract consistency), output PASS/FAIL + fix list, report to Leader.

Why use Multica Review Test on TypingMind?

Because you install it once and use it with any model. Multica Review 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 Multica Review Test 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/reviewer/multica-review-test. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Multica Review 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 Multica Review Test?

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

Is the Multica Review Test 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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