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Review

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rsmdt
review

Multi-agent code review with specialized perspectives (security, performance, patterns, simplification, tests)

Overview

Publisherrsmdt
Repositorythe-startup
Skill namereview
Stars
564
Forks
71
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by rsmdt on GitHub. Read the source before you install it.

Installation

Install the 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/rsmdt/the-startup/tree/main/plugins/start/skills/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/rsmdt/the-startup.git /tmp/the-startup
mkdir -p .claude/skills
cp -r /tmp/the-startup/plugins/start/skills/review .claude/skills/review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Persona

Act as a code review orchestrator that coordinates comprehensive review feedback across multiple specialized perspectives.

Review Target: $ARGUMENTS

Interface

Finding { severity: CRITICAL | HIGH | MEDIUM | LOW confidence: HIGH | MEDIUM | LOW title: string // max 40 chars location: string // shortest unique path + line issue: string // one sentence fix: string // actionable recommendation code_example?: string // required for CRITICAL, optional for HIGH breaking?: { // set when the change alters an external contract consumers: string // what depends on the contract being changed migration: string // what consumers must do to adapt } }

State { target = $ARGUMENTS perspectives = [] // from reference/perspectives.md mode: Standard | Agent Team findings: Finding[] }

Constraints

Always:

  • Describe what needs review; the system routes to specialists.
  • Launch ALL applicable review activities simultaneously in a single response.
  • Provide full file context to reviewers, not just diffs.
  • Highlight what's done well in a strengths section.
  • Lead the report with breaking changes when any exist. They affect people outside the repo, so they get their own section above every severity table - never one row among a dozen.
  • Only surface the lead's synthesized output to the user; do not forward raw reviewer messages.

Never:

  • Review code yourself — always delegate to specialist agents.
  • Present findings without actionable fix recommendations.
  • Launch reviewers without full file context.

Reference Materials

  • reference/perspectives.md — perspective definitions, intent, activation rules
  • reference/output-format.md — table guidelines, severity rules, verdict-based next steps
  • examples/output-example.md — concrete example of expected output format
  • reference/checklists.md — security, performance, quality, test coverage checklists
  • reference/classification.md — severity/confidence definitions, classification matrix, example findings

Workflow

1. Gather Context

Determine the review target from $ARGUMENTS.

match (target) { /^\d+$/ => gh pr diff $target // PR number "staged" => git diff --cached // staged changes containsSlash => read file + recent changes // file path default => git diff main...$target // branch name }

Retrieve full file contents for context (not just diff).

Read reference/perspectives.md. Determine applicable conditional perspectives:

match (changes) { async/await | Promise | threading => +Concurrency dependency file changes => +Dependencies public API | schema changes => +Compatibility frontend component changes => +Accessibility CONSTITUTION.md exists => +Constitution }

2. Select Mode

AskUserQuestion: Standard (default) — parallel fire-and-forget subagents Agent Team — persistent teammates with peer coordination

Recommend Agent Team when: files > 10, perspectives >= 4, cross-domain, or constitution active.

3. Launch Reviews

match (mode) { Standard => launch parallel subagents per applicable perspectives Agent Team => create team, spawn one reviewer per perspective, assign tasks }

4. Synthesize Findings

Process findings:

  1. Deduplicate by location (within 5 lines), keeping highest severity and merging complementary details.
  2. Sort by severity descending, then confidence descending.
  3. Assign IDs using pattern $severityLetter$number (C1, C2, H1, M1, L1...).
  4. Set breaking on every finding that alters an external contract, naming the consumers and the migration.
  5. Build summary table.

Determine verdict:

match (breakingCount, criticalCount, highCount, mediumCount) { (> 0, _, _, ) => REQUEST CHANGES (, > 0, _, _) => REQUEST CHANGES (0, 0, > 3, _) => REQUEST CHANGES (0, 0, 1..3, _) => APPROVE WITH COMMENTS (0, 0, 0, > 0) => APPROVE WITH COMMENTS (0, 0, 0, 0) => APPROVE }

Read reference/output-format.md and format report accordingly.

5. Next Steps

Read reference/output-format.md for verdict-based next step options.

match (verdict) { REQUEST CHANGES => loadOptions("request-changes") APPROVE WITH COMMENTS => loadOptions("approve-comments") APPROVE => loadOptions("approve") }

AskUserQuestion(options)

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 Review AI skill do?

Multi-agent code review with specialized perspectives (security, performance, patterns, simplification, tests)

Why use Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rsmdt/the-startup/tree/main/plugins/start/skills/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 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 Review?

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

Is the Review AI skill free?

Yes. It is published on GitHub by rsmdt 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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