An automated code-review process in which another coding assistant reviews changes, the host assistant considers its findings, and the code is revised through repeated rounds.

Use it to review changes on a branch, diff, or pull request with Codex, Claude, or Gemini, with an optional report-only mode.

It provides an independent review and keeps iterating until the review process reaches agreement on the code’s final state.

review-loop — Skill for Claude Code and Codex by AuroraPixel

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add AuroraPixel/ai-native-harness-skill --skill review-loop

Clone the repo

git clone --depth 1 https://github.com/AuroraPixel/ai-native-harness-skill

Made for: Claude Code, Codex.

Or install ai-native-harness-skill, the plugin that ships this one along with the rest of its 2 skills, 5 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aurorapixel/ai-native-harness-skill/review-loop.svg)](https://agentmods.dev/skills/aurorapixel/ai-native-harness-skill/review-loop)

Your own site

<a href="https://agentmods.dev/skills/aurorapixel/ai-native-harness-skill/review-loop"><img src="https://agentmods.dev/badge/skills/aurorapixel/ai-native-harness-skill/review-loop.svg" alt="Measured on agentmods" height="20"></a>

Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,058 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00130	$0.05058
Opus 5	$0.00065	$0.02529
Sonnet 5	$0.00026	$0.01012
Haiku 4.5	$0.00013	$0.00506

Measured 8d ago against content hash d828f40219e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade C, and why

review-loop scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/peer-invoke.sh, scripts/preflight.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

"$(find ~/.claude/plugins/cache -path "*/review-loop" -type d 2>/dev/null | head -1)" \

Enumerates other installed skillsmediumAgent snooping

Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.

"$(find ~/.claude/skills -path "*/review-loop" -type d 2>/dev/null | head -1)" \

Origin

This is a copy

100% identical to review-loop — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/ai-native-harness-skill/skills/review-loop/SKILL.md · 500 lines

How it starts

The opening of the file, as written. The whole thing — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Loop — Cross-LLM Iterative Code Review

Spawns a peer reviewer (Codex, Claude, or Gemini) to independently review your code changes. The host agent evaluates findings, implements accepted fixes, and re-submits for peer re-review. Iterates until both agents agree on the final code state.

Key: You (the human) do NOT need to participate. Watch progress via .review-loop/<session>/rounds.json and summary.md.

Compatibility note: rounds.json keeps the historical field name claude_actions for backward compatibility. In Codex-hosted runs, that field still stores the host agent's decisions and code changes.

Prerequisites

Required: git CLI
Peer (one of): codex CLI (codex --version), claude CLI (claude --version), or gemini CLI (gemini --version)
Optional: gh CLI (for PR scope detection)

Configuration

Defaults

Setting	Default	Options
`peer_reviewer`	`codex`	`codex`, `claude`, `gemini`
`max_rounds`	`5`	1–10
`timeout_per_round`	`600`	seconds
`scope_preference`	`auto`	`auto`, `diff`, `branch`, `pr`
`read_only`	`false`	`true` = report-only, no code changes

The peer reviewer always runs with local repository access.

Read-only mode (read_only: true): Peer reviews code and the host agent evaluates findings, but NO code changes are made. Output is a findings report only — no fix commits, no code evolution loop. Useful when review-loop is used as a sensor by other skills (e.g., the bundled harness skill's Evaluator Tier 2). In read-only mode, Phase 2 (Code Evolution Loop) is skipped entirely — after Round 1 findings are evaluated, the loop goes directly to Phase 3 report generation with all findings classified as reported (not accepted/rejected).

Override via project config

Create .review-loop/config.json in the project root to override defaults:

{
  "peer_reviewer": "gemini",
  "max_rounds": 8
}

Read the full file on GitHub · 500 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

8d ago First seen · 500 lines · 130 tokens per session scan C d828f40219e5

Subscribe to this mod's changes

review-loop is a skill published in the GitHub repository AuroraPixel/ai-native-harness-skill (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 130 tokens to every session and 5,058 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 2 findings (reads agent configuration directories, enumerates other installed skills). It is 100% identical to review-loop, differing in 9 lines, and is treated as a copy.

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