ai-review

ai-review is a skill for Claude Code from tingyulu/MyR2D2. It costs 187 tokens per session (3,601 once invoked), scanned A, original, no licence file.

A second-opinion review that sends an output to another AI model, considers its feedback, and then produces the final report. It includes separate checklists for code, writing, and research.

In plain words
What is it for?
Use it when you want another model to review code, copy, or research, or when you want a cross-model second opinion. Anything sent is visible to a third-party model, so protect secrets and personal data.
Why use it?
It gives you an additional review before the result is handed back. If no review backend is available, it clearly says that only a self-review was done.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the myr2d2 plugin — 12 skills shipped together

Good fit Use it when you want another model to review code, copy, or research, or when you want a cross-model second opinion. Anything sent is visible to a third-party model, so protect secrets and personal data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tingyulu/myr2d2/ai-review
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 tingyulu/MyR2D2 --skill ai-review
Clone the repo
git clone --depth 1 https://github.com/tingyulu/MyR2D2

Made for: Claude Code.

Or install myr2d2, the plugin that ships this one along with the rest of its 12 skills.

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.

agentmods badge for ai-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/tingyulu/myr2d2/ai-review/github.svg)](https://agentmods.dev/skills/tingyulu/myr2d2/ai-review)
Your own site
<a href="https://agentmods.dev/skills/tingyulu/myr2d2/ai-review"><img src="https://agentmods.dev/badge/skills/tingyulu/myr2d2/ai-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/tingyulu/myr2d2/ai-review"><img src="https://agentmods.dev/badge/skills/tingyulu/myr2d2/ai-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 187 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,601 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00187 $0.03601
Opus 5 $0.00093 $0.01801
Sonnet 5 $0.00037 $0.00720
Haiku 4.5 $0.00019 $0.00360

Measured 12d ago against content hash 24a648ecd254, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-review scanned grade A with 0 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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/ai-review.sh, tests/matrix.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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ai-review/SKILL.md · 169 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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.

  1. 12d ago First seen · 169 lines · 187 tokens per session scan A 24a648ecd254

Subscribe to this mod's changes

ai-review is a skill published in the GitHub repository tingyulu/MyR2D2 (18 stars, last pushed 10d ago), with no licence file. It adds 187 tokens to every session and 3,601 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

agent-watchdog

Use when asked to watch, babysit, audit, review, compare, or fix another agent's work from a Codex session ID, Claude Code session/transcript, chat/thread link, PR, branch, log, or pasted run summary. Monitor until the other agent is done or blocked, reconstruct what the user asked, independently investigate the same…

BuilderIO/skills · 115 tokens

comet-verify

Comet Phase 4: Verify and Close. Invoke with /comet-verify. Verify implementation matches design, handle development branch.

rpamis/comet · 32 tokens

agent-design-best-practices

Best practices for designing Claude Code agent files (.claude/agents/.md). This skill should be used when writing or reviewing agent markdown files to ensure proper design with focused domains, correct tool access, reusable definitions, and separation of capabilities from lifecycle. Combines Anthropic's official…

majiayu000/claude-skill-registry · 73 tokens

graphify-dotnet

Use graphify-dotnet to generate codebase knowledge graphs, architecture snapshots, and exportable repository maps from .NET or polyglot source trees, with optional AI-enriched semantic relationships. USE FOR: graphify commands; graph JSON, HTML, SVG, Cypher, Markdown, and Obsidian exports; repository map and…

managedcode/dotnet-skills · 125 tokens

map-codebase

Deep architecture report that fans out parallel inspections across different aspects of the codebase (structure, tech stack, APIs, patterns, data flow, dependencies, testing) and synthesizes findings into a comprehensive document at .turbo/codebase-map.md and .turbo/codebase-map.html. Use when the user asks to "map…

tobihagemann/turbo · 106 tokens

sonarqube-mcp

Provides SonarQube and SonarCloud integration patterns via the Model Context Protocol (MCP) server. Enables quality gate monitoring, issue discovery and triaging, pre-push code analysis, and rule education directly in the agent workflow. Use when the user wants to check quality gates, search for Sonar issues, analyze…

giuseppe-trisciuoglio/developer-kit · 127 tokens