Total Review

CommunityPopular

davidondrej

total-review

Run Fable and GPT reviews, then combine their findings for the user's approval. Use only when the user explicitly invokes /total-review.

Overview

Publisher	davidondrej
Repository	`skills`
Skill name	`total-review`
Stars	4.1K
Forks	599
Bundled files	1
License	MIT
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by davidondrej on GitHub. Read the source before you install it.

Installation

Install the Total Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/davidondrej/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/agent-orchestration/total-review .claude/skills/total-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Total 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 Total 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 Total 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.

Total Review

Workflow

Launch both reviewers in parallel as two bb threads (default). Follow /nagent, /bb-cli, and each reviewer skill:
- One fable-review worker (Fable 5 Max 1M).
- One gpt-review worker (GPT 5.6 Sol Max).
- Follow each reviewer skill exactly: neutral prompt, broad review scope, detailed findings on critical/serious issues, concise plain-English final report.
- Reuse this thread's environment so both see the same files.
- If the user names another harness (Cursor Task, cmux, Codex CLI, etc.), use that for both instead.
Wait for both to finish (bb thread wait on each, unless another harness was requested). Do not start triage until both reports are back.
Merge and triage. Read both reports in full. Then:
- Combine and deduplicate findings; an issue reported by both counts once.
- Assess each finding: is it a real bug or risk, or a style preference, theoretical edge case, or non-issue? Agreement alone does not prove an issue is real.
- Keep only issues that matter.
Output to the user — clear and very concise:
- A numbered list of real issues, one line each: what it is + where.
- Mark which reviewer(s) found each: [both], [fable], or [gpt]. Issues found by both go first.
- One short line at the end: how many findings were dropped as overthinking.
- Then ask the user: approve fixing these, or adjust the list.
On approval, fix and ship. Fix only approved issues. Then stage, commit with a clear message, and push to GitHub using the standard ship workflow.

Rules

Keep every step's output short and in plain English.
Show the merged shortlist by default; provide full reviewer reports only if the user asks.
Never fix an issue before the user approves the shortlist.

Bundled files

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

agents/openai.yaml1 KB

Frequently asked questions

What does the Total Review AI skill do?

Run Fable and GPT reviews, then combine their findings for the user's approval. Use only when the user explicitly invokes /total-review.

Why use Total Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/total-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 Total 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 Total Review?

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

Is the Total Review AI skill free?

Yes. It is published on GitHub by davidondrej 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Total Review

Workflow

Rules

Bundled files

Frequently asked questions

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