Agent skill

Ralph Review Trio

by davepoon in davepoon/buildwithclaude

Run a sequential three-tier code review on a finished implementation branch — Haiku (surface) → Sonnet (logic) → Opus (deep).

MITAuto-check passedDevelopment

Install Ralph Review Trio

skills CLI
$ npx skills add davepoon/buildwithclaude --skill ralph-review-trio -a claude-code

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

GitHub CLI
$ gh skill install davepoon/buildwithclaude ralph-review-trio --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/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ralph-review-trio/skills/ralph-review-trio .claude/skills/ralph-review-trio && 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
ralph-review-trio
GitHub stars
3.6k
Token cost
~625 tokens
SKILL.md length
212 words
Files
6 (incl. references, assets)
Skills in repo
247
Repo updated
First seen
Licence
MIT

At a glance

Run a sequential three-tier code review on a finished implementation branch — Haiku (surface) → Sonnet (logic) → Opus (deep).

  • PR is code-complete and you want structured pre-merge verification before human review
  • SKILL.md covers When to trigger, When NOT to trigger, How it works and Entry point, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ralph Review Trio is an agent skill from davepoon/buildwithclaude. Run a sequential three-tier code review on a finished implementation branch — Haiku (surface) → Sonnet (logic) → Opus (deep). Restarts from Tier 1 on any tier failure. Use when a solo branch or PR is code-complete and you want structured pre-merge verification before human review.

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `assets/example-transcript.md`, `references/_common-culprits.md` and `references/haiku-checklist.md`).

It sits in Development. The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.

When your agent uses it

  • PR is code-complete and you want structured pre-merge verification before human review

Example prompts

  • “/ralph-review-trio”

What it can do on your machine

Read from SKILL.md and the folder at commit 616deb5. 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

Ralph Review Trio loads about 625 tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 212 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~625
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.9k

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 davepoon/buildwithclaude at commit 616deb5, republished under its MIT licence (© davepoon). 212 words, ~625 tokens.

Download SKILL.mdSave it as .claude/skills/ralph-review-trio/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
ralph-review-trio
description
Run a sequential three-tier code review on a finished implementation branch — Haiku (surface) → Sonnet (logic) → Opus (deep). Restarts from Tier 1 on any tier failure. Use when a solo branch or PR is code-complete and you want structured pre-merge verification before human review.

Ralph Review Trio

This skill triggers /ralph-review, which runs three sequential reviewer subagents at increasing depth. If any tier flags a failure, the loop restarts from Tier 1 after fixes.

When to trigger

  • An implementation is code-complete on a feature / solo branch.
  • All acceptance criteria for the underlying issue are believed satisfied.
  • Pre-merge verification is needed before human review or merge-to-main.
  • You want structured evidence that each tier's checklist was walked.

When NOT to trigger

  • Work-in-progress branches mid-implementation — Ralph assumes the change is complete.
  • Documentation-only diffs with no code — Tier 2/3 still run but most checks short-circuit to "doc-only PR" exemption; overkill for a single README edit.
  • Hotfix branches where speed dominates verification — use the project's normal PR review.

How it works

/ralph-review
    │
    ▼
  Tier 1  — Haiku  (surface checks)   ─── fail ──> restart
    │  pass
    ▼
  Tier 2  — Sonnet (logic checks)     ─── fail ──> restart
    │  pass
    ▼
  Tier 3  — Opus   (deep analysis)    ─── fail ──> restart
    │  pass
    ▼
  RALPH_PASS  →  merge OK

A <promise>HAIKU_PASS</promise> / <promise>SONNET_PASS</promise> / <promise>OPUS_PASS</promise> token is emitted by each tier on pass. All three required for overall pass.

Entry point

/ralph-review — defined in ../../commands/ralph-review.md.

Per-tier checklists

  • ../../agents/haiku-reviewer.md — Tier 1 surface checklist
  • ../../agents/sonnet-reviewer.md — Tier 2 logic checklist
  • ../../agents/opus-reviewer.md — Tier 3 deep-analysis checklist

Extended reference content under references/ (same dir as this SKILL.md) is loaded on demand by each tier when a specific check requires more context.

Outputs

Each tier writes a fenced ## RESULT block with:

## RESULT
mcp_graph_available: yes|no      # first line when discussing graph queries
verdict: pass|fail|unknown
files_touched: [paths]
findings: [{path, line, claim, evidence}]
scope_gaps: [list or "none"]

The main agent reads the RESULT block and decides next action (restart, next tier, or PASS).

© davepoon, 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 5 other files (references, assets) in plugins/ralph-review-trio/skills/ralph-review-trio of davepoon/buildwithclaude.

  • SKILL.md
  • assets/example-transcript.md
  • references/_common-culprits.md
  • references/haiku-checklist.md
  • references/opus-checklist.md
  • references/sonnet-checklist.md

Open the folder on GitHubat commit 616deb5

Compare with similar skills

Ralph Review Trio 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.

Ralph Review Trio compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ralph Review Trio this skilldavepoon/buildwithclaude3.6k—~625Automated safety check: PassMIT
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Ralph Review Trio

What does Ralph Review Trio do?

Run a sequential three-tier code review on a finished implementation branch — Haiku (surface) → Sonnet (logic) → Opus (deep). Ralph Review Trio is an agent skill from davepoon/buildwithclaude. Run a sequential three-tier code review on a finished implementation branch — Haiku (surface) → Sonnet (logic) → Opus (deep).

When should I use Ralph Review Trio?

Ralph Review Trio fits situations like: PR is code-complete and you want structured pre-merge verification before human review.

How do I install Ralph Review Trio in Claude Code?

Run `npx skills add davepoon/buildwithclaude --skill ralph-review-trio -a claude-code`. Or copy the skill folder (plugins/ralph-review-trio/skills/ralph-review-trio in davepoon/buildwithclaude) into .claude/skills/ralph-review-trio in your project. Claude Code loads it when a task matches its description.

How do I install Ralph Review Trio in Codex?

Run `npx skills add davepoon/buildwithclaude --skill ralph-review-trio -a codex`. Or copy the skill folder (plugins/ralph-review-trio/skills/ralph-review-trio in davepoon/buildwithclaude) into .agents/skills/ralph-review-trio in your project. Codex loads it when a task matches its description.

Can I use Ralph Review Trio 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 davepoon/buildwithclaude --skill ralph-review-trio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ralph-review-trio, .gemini/skills/ralph-review-trio, .github/skills/ralph-review-trio and .opencode/skills/ralph-review-trio in your project.

What does Ralph Review Trio need to run?

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

Does Ralph Review Trio 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 Ralph Review Trio 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 Ralph Review Trio use?

Ralph Review Trio 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 Ralph Review Trio use?

About 625 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.

What are the alternatives to Ralph Review Trio?

Skills that share tags, products or a category with Ralph Review Trio: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ralph Review Trio?

davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,610 GitHub stars. The repository holds 247 skills in this directory. The repository was last updated on October 9, 2026.

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