Ralph Review Trio
SkillAI & modelsRun 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.
Use Ralph Review Trio in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Ralph Review Trio and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Ralph Review Trio skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by davepoon/buildwithclaude in plugins/ralph-review-trio/skills/ralph-review-trio/SKILL.md and read by ahel’s review.
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).
Signals
- GitHub stars
- 4k
- Forks
- 543
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
ralph-review-trio- Source
- github.com/davepoon/buildwithclaude
github.com/davepoon/buildwithclaude
More in AI & models
Skill · anthropics
More in AI & modelstriage
Skill · mattpocock
More in AI & modelswayfinder
Skill · mattpocock
More in AI & modelsalgorithmic-art
Skill · anthropics
More in AI & modelscode-review-and-quality
Skill · addyosmani
More in AI & modelsai-first-engineering
Skill · affaan-m
More in AI & models