Agent skill

Total Review

by davidondrej in davidondrej/skills

Run Fable and GPT reviews, then combine their findings for the user's approval.

MITAuto-check passedAgent Workflows

Install Total Review

skills CLI
$ npx skills add davidondrej/skills --skill total-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davidondrej/skills total-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davidondrej/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-orchestration/total-review .claude/skills/total-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
total-review
GitHub stars
4.1k
Token cost
~505 tokens
SKILL.md length
282 words
Files
2
Skills in repo
51
Repo updated
First seen
Licence
MIT

At a glance

Run Fable and GPT reviews, then combine their findings for the user's approval.

  • Works in 5 steps: Launch both reviewers in parallel as two… → Wait for both to finish (bb thread wait… → Merge and triage. Read both reports in… → …
  • Explicitly invokes /total-review
  • SKILL.md covers Workflow and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Total Review is an agent skill from davidondrej/skills. Run Fable and GPT reviews, then combine their findings for the user's approval. Use only when the user explicitly invokes /total-review.

Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows. The repository describes itself as: access to david ondrej's personal agent skills. The licence is MIT.

When your agent uses it

  • Explicitly invokes /total-review

Example prompts

  • “/total-review”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Launch both reviewers in parallel as two bb threads (default). Follow /nagent, /bb-cli, and each reviewer skill
  2. Wait for both to finish (bb thread wait on each, unless another harness was requested). Do not start triage until both reports are back.
  3. Merge and triage. Read both reports in full. Then
  4. Output to the user — clear and very concise
  5. On approval, fix and ship. Fix only approved issues. Then stage, commit with a clear message, and push to GitHub using the standard ship…

What it can do on your machine

Read from SKILL.md and the folder at commit 7874889. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Total Review loads about 505 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 282 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~505

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from davidondrej/skills at commit 7874889, republished under its MIT licence (© davidondrej). 282 words, ~505 tokens.

Download SKILL.mdSave it as .claude/skills/total-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
total-review
description
Run Fable and GPT reviews, then combine their findings for the user's approval. Use only when the user explicitly invokes /total-review.
disable-model-invocation
true

Total Review

Workflow

  1. 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.
  2. Wait for both to finish (bb thread wait on each, unless another harness was requested). Do not start triage until both reports are back.

  3. 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.
  4. 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.
  5. 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.

© davidondrej, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/agent-orchestration/total-review of davidondrej/skills.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 7874889

Compare with similar skills

Total Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Total Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Total Review this skilldavidondrej/skills4.1k—~505Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k36 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Total Review

What does Total Review do?

Run Fable and GPT reviews, then combine their findings for the user's approval. Total Review is an agent skill from davidondrej/skills. Run Fable and GPT reviews, then combine their findings for the user's approval.

When should I use Total Review?

Total Review fits situations like: explicitly invokes /total-review.

How do I install Total Review in Claude Code?

Run `npx skills add davidondrej/skills --skill total-review -a claude-code`. Or copy the skill folder (skills/agent-orchestration/total-review in davidondrej/skills) into .claude/skills/total-review in your project. Claude Code loads it when a task matches its description.

How do I install Total Review in Codex?

Run `npx skills add davidondrej/skills --skill total-review -a codex`. Or copy the skill folder (skills/agent-orchestration/total-review in davidondrej/skills) into .agents/skills/total-review in your project. Codex loads it when a task matches its description.

Can I use Total Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davidondrej/skills --skill total-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/total-review, .gemini/skills/total-review, .github/skills/total-review and .opencode/skills/total-review in your project.

What does Total Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Total Review is instructions for the agent only.

Does Total Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Total Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Total Review use?

Total Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Total Review use?

About 505 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Total Review?

Skills that share tags, products or a category with Total Review: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Total Review?

davidondrej (a GitHub user) maintains it in davidondrej/skills, which has 4,112 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 8, 2026.

Source: davidondrej/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.