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Council Review

Community
alinaqi
council-review

Multi-model validation council — auto-validate plans, architecture changes, and PRs via validate-plan/review before executing

Overview

Publisheralinaqi
Repositorymaggy
Skill namecouncil-review
Stars
707
Forks
57
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 alinaqi on GitHub. Read the source before you install it.

Installation

Install the Council 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/alinaqi/maggy/tree/main/skills/council-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/alinaqi/maggy.git /tmp/maggy
mkdir -p .claude/skills
cp -r /tmp/maggy/skills/council-review .claude/skills/council-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Council 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 Council 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 Council 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.

Council of Experts — Multi-Model Validation

When to Auto-Trigger

Plans (auto_validate_plans)

When you write a plan to ~/.claude/plans/, automatically validate it:

bash
~/bin/validate-plan --threshold 2 ~/.claude/plans/<plan-file>.md
  • 2+ of 3 approve → execute immediately
  • 1 of 3 → surface reviewer feedback to user before proceeding
  • 0 of 3 → revise plan, re-validate

Architecture Decisions (auto_review_architecture)

When making architectural changes (new services, API redesigns, database schema changes), run:

bash
~/bin/review --all "Review this architecture: <summary>"

PR Review (auto_review_prs)

Before marking a PR as done, run:

bash
~/bin/review --all --file <changed-files>

Configuration

Council behavior is configured in ~/.claude/council.yaml. The Maggy dashboard (Settings > Council) also manages this config.

Chief of the Council

chief: claude-fable-5 — Claude Fable 5 (Anthropic's most capable widely-released model, GA 2026-06-09) leads every panel as the chief: it reviews first and casts the deciding synthesis. Invoked via ~/bin/claude-fable-5. Override the chief in ~/.claude/council.yaml.

Reviewer Contexts

The chief leads each context, followed by the panel:

ContextDefault ReviewersWhen
planClaude Fable 5 (chief), DeepSeek Pro, Codex, Gemini ProBefore executing any plan
reviewClaude Fable 5 (chief), DeepSeek Pro, KimiCode review, PR review
architectureClaude Fable 5 (chief), DeepSeek Pro, Gemini Pro, GrokSystem design, schema changes

Threshold Rules

The threshold setting controls how many approvals are needed:

  • threshold: 2 with 3 reviewers → need 2/3 to auto-execute
  • Clamped to [1, reviewer_count] — can't be 0 or exceed available reviewers

Model Inventory

All 13 tiers are listed in ~/.claude/council.yaml under models:. Each has:

  • id — unique identifier
  • cmd — CLI command to invoke (null for Claude models, which are the host)
  • tier — routing priority (0=cheapest, 12=most capable)
  • label — human-readable name

Use POST /api/models/health to verify all models are responding.

How This Skill is Used

This skill is loaded by Claude Code on session start. It provides the behavioral rules for when to invoke multi-model validation. The actual execution happens via ~/bin/validate-plan and ~/bin/review which are already installed.

Do not skip council validation for CLAUDE-tier tasks. The whole point is that architecture and security decisions get independent verification before execution.

Frequently asked questions

What does the Council Review AI skill do?

Multi-model validation council — auto-validate plans, architecture changes, and PRs via validate-plan/review before executing

Why use Council Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alinaqi/maggy/tree/main/skills/council-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Council 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 Council Review?

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

Is the Council Review AI skill free?

Yes. It is published on GitHub by alinaqi 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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