05 Review logo

05 Review

Organization
ai-driven-dev
05-review

Review a diff read-only on three axes, code, behavior versus the plan, and relevancy, into one verdict report. Use before shipping a change. Not for fixing findings or auditing a codebase.

Overview

Publisherai-driven-dev
Repositoryframework
Skill name05-review
Stars
515
Forks
54
Bundled files
6
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ai-driven-dev on GitHub. Read the source before you install it.

Installation

Install the 05 Review 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/ai-driven-dev/framework/tree/main/plugins/aidd-dev/skills/05-review
  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/ai-driven-dev/framework.git /tmp/framework
mkdir -p .claude/skills
cp -r /tmp/framework/plugins/aidd-dev/skills/05-review .claude/skills/05-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 05 Review 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 05 Review 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 05 Review 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.

Skill: review

Read-only review of a diff along three axes, code quality, feature behavior, and relevancy, composed into one report.

Actions

#ActionAxis
01review-codeClean-code quality on the changed lines
02review-functionalThe diff against the plan's phases and their acceptance criteria
03review-relevancyDoes the change belong: fit to the need, rule conformance, no rot

Run all three by default, composing one report. Run a single axis only when the caller names it; if it is unclear whether they want all or one, ask. Before running an action, read its file in actions/, not only the table or assets.

Transversal rules

  • Read-only: surface each finding with its fix described, never patch.
  • Output: always write review.md to disk; the file is the deliverable, never an inline-only verdict.
  • Folder: write into the reviewed work's feature folder (aidd_docs/tasks/<yyyy_mm>/<yyyy_mm_dd>_<slug>/, beside plan.md), or one resolved from the change when it has none.
  • Report: fill review.md from assets/review-template.md. One shared Findings table for every axis: functional writes the Phases boxes and the Verification table, and appends a functional row to Findings for each unmet criterion tagged fix; code and relevancy append rows to Findings under their Kind. Tables and boxes, no prose, no per-axis sections. The Phase column ties a finding to the plan when one is in scope, - otherwise.
  • Sections: the report has exactly the sections in assets/review-validator.yml. Before returning, verify against it and remove any section not listed.
  • Not run: every required section always exists. The header Axes run lists which axes ran, so a skipped code or relevancy axis is visible even though Findings is shared. An axis that did not run marks the sections it owns "Not run" (functional owns Phases and Verification); it never leaves a placeholder or invents data.
  • Re-run: overwrite review.md with the current review. It is a snapshot of the current diff, not a history; a later review of the same work replaces the earlier one.
  • Verdict: one overall verdict, the strictest across the axes run, per references/review-rubric.md.

References

  • references/review-rubric.md: the severity scale, the verdict rule, the code categories, and the relevancy lenses.

Assets

  • assets/review-template.md: the single report the three axes fill.
  • assets/review-validator.yml: the closed set of report sections.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the 05 Review AI skill do?

Review a diff read-only on three axes, code, behavior versus the plan, and relevancy, into one verdict report. Use before shipping a change. Not for fixing findings or auditing a codebase.

Why use 05 Review on TypingMind?

Because you install it once and use it with any model. 05 Review 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 05 Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-dev/skills/05-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 05 Review?

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 05 Review?

As many as you like. As long as a model supports skills, you can use 05 Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 05 Review AI skill free?

Yes. It is published on GitHub by ai-driven-dev 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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