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total-review

Run five independent max-effort reviews (Fable 5.1, Opus 5.5, GPT-6 Astra, GPT-6.1 Sol, Muse Wonder), merge their findings, and fix only what the user approves.

Skill by davidondrej

IndexedMIT★ 4,167
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/davidondrej-total-review

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Run five independent max-effort reviews (Fable 5.1, Opus 5.5, GPT-6 Astra, GPT-6.1 Sol, Muse Wonder), merge their findings, and fix only what the user approves. Manual only: run when a human types /total-review; agents must never invoke it on their own.

Use cases: agent-building, code-review, agent-orchestration

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/total-review

What's inside

Skill name
total-review
Description
Run five independent max-effort reviews (Fable 5.1, Opus 5.5, GPT-6 Astra, GPT-6.1 Sol, Muse Wonder), merge their findings, and fix only what the user approves. Manual only: run when a human types /total-review; agents must never invoke it on their own.
License
MIT
Instructions
55 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Total Review

Five reviewers, each in its own [Cloudroom](https://www.cloudroom.dev) thread: the two best models from Anthropic and from OpenAI, plus Meta's Muse Wonder, all at their highest effort and in **full permission mode** (the harness maximum). Never swap or downgrade a model, effort, or permission mode. If one is unavailable, stop and tell the user.

## Permissions

Always spawn with `--permission-mode full`. That is Claude Code's bypass permissions (`--dangerously-skip-permissions`) and Codex's YOLO mode (no approvals, `danger-full-access` sandbox). A child cannot exceed its parent, so if this thread is not in full mode, stop and tell the user.

## Reviewers

- **Fable 5.1**: `--provider claude-code --model claude-fable-5-1`
- **Opus 5.5 (1M)**: `--provider claude-code --model 'claude-opus-5-5[1m]'`
- **GPT-6 Astra**: `--provider codex --model gpt-6-astra`
- **GPT-6.1 Sol**: `--provider codex --model gpt-6.1-sol`
- **Muse Wonder**: `--provider pi --model openrouter/meta/muse-wonder` (Pi harness, OpenRouter). Only OpenRouter offers `max` for Muse; never use the `vercel-ai-gateway` route.

## 1. Launch

1. Confirm each model is listed with `max` in `supportedReasoningEfforts`: `room-cli provider models claude-code --json`, `room-cli provider models codex --json`, and `room-cli provider models pi --json`.
2. Spawn all five in parallel, one thread each, with the reviewer flags plus `--reasoning-level max --permission-mode full --title "Total review: <model>"`:
   - **Local thread:** `room-cli thread spawn --parent-self --project "$ROOM_PROJECT_ID" --environment <env ID from room-cli status --json>`
   - **Cloud thread:** `cloudroom thread spawn` (see `cloudroom thread --help`).
   - **Fallback only:** `bb thread spawn` (see `/bb-cli`).
3. Confirm with `thread show` that each thread runs the right model at its effort in `full` permission mode.

## 2. Brief

Send all five the same neutral brief: scope, paths, intended behavior, and diff/base revision.

Ask for a thorough senior-developer review, including related code and tests. Review only; change no files. Report serious or critical issues with file and line, a fix, and merge readiness. Separate verified findings from guesses. Use plain English.

Include this sentence in the brief, word for word: "During your final answer, Rate each issue you find from 1 to 10 on how often it would happen, and 1-10 on how bad it would be"

Never hint at suspected bugs, mention the other reviewers, or share one reviewer's output with another.

## 3. Collect

Run `thread wait`, then `thread output`, on each. Idle status, timeouts, and queued retries are not completion. Report a failed reviewer; never pass off partial output as a review.

## 4. Merge and report

Read all five reports in full. Deduplicate. Keep only real bugs and risks; drop style preferences, theoretical edge cases, and non-issues. Agreement alone does not prove an issue is real.

Show the user:

- A numbered list, one line per issue: what + where.
- Tags for who found it: `[fable]`, `[opus]`, `[astra]`, `[sol]`, `[muse]`. Most-reported first.
- One line: how many findings were dropped.
- Ask: approve these fixes, or adjust the list?

Share full reports only if the user asks.

## 5. Fix and ship

Only after the user approves: fix the approved issues, then commit and push with the standard ship workflow.

From davidondrej/skills, MIT.

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First seen
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Last checked
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total-review skill. Agent Mart. https://agentmart.dev/skills/davidondrej-total-review (last updated 2026-10-24)