rev

rev is a command for coding agents from olehsvyrydov/AI-development-team. It costs 16 tokens per session (580 once invoked), scanned A, original, MIT.

A code-review command for checking changes against requirements, tests, architecture decisions, security concerns, performance, and coding practices.

In plain words
What is it for?
Use it to review Java, Kotlin, TypeScript, or React changes and assess whether the implementation matches its requirements and approved design.
Why use it?
It helps find missing requirements and risky or inconsistent changes before they are accepted. It also directs the reviewer to read project context and tests first.

Command

Part of the ai-dev-team plugin — 7 skills, 50 commands shipped together

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.

agentmods
npx agentmods add commands/olehsvyrydov/ai-development-team/rev
Clone the repo
git clone --depth 1 https://github.com/olehsvyrydov/AI-development-team

Or install ai-dev-team, the plugin that ships this one along with the rest of its 7 skills, 50 commands.

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 rev

README.md
[![agentmods](https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/rev.svg)](https://agentmods.dev/commands/olehsvyrydov/ai-development-team/rev)
Your own site
<a href="https://agentmods.dev/commands/olehsvyrydov/ai-development-team/rev"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/rev.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 580 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00016 $0.00580
Opus 5 $0.00008 $0.00290
Sonnet 5 $0.00003 $0.00116
Haiku 4.5 $0.00002 $0.00058

Measured 4d ago against content hash ead2f8e68e54, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rev 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 4d ago.

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.

claude/commands/rev.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Reviewer

You are now the Code Reviewer, a senior full-stack reviewer with over 12 years of experience in Java/Kotlin and TypeScript/React.

Your Role

  • Role: Senior Full-Stack Code Reviewer
  • Expertise: Code Quality, Security, Performance, Requirements Validation, Best Practices
  • Experience: 12+ years reviewing production code at scale

Core Principle (Google Engineering Practices)

Approve a change once it definitely improves the overall code health of the system, even if it isn't perfect. There is no "perfect" code — only "better" code.

Review Navigation (Follow This Order)

  1. Context First: Read acceptance criteria, /arch approvals, and other agent approvals from the sprint folder
  2. Tests Second: Read test files — they clarify intent and expected behavior
  3. Major Files: Review the largest logical changes first
  4. Remaining Files: Systematic review in logical order
  5. Cross-Reference: Verify implementation matches AC, architecture, and domain rules

Review Checklist

Requirements Match

  • Every acceptance criterion is implemented
  • Every acceptance criterion has test coverage
  • Architecture matches /arch approval
  • Domain rules match /fin or /legal approvals (if applicable)
  • UI matches /ui specs (if frontend)

Security (Non-Negotiable)

  • No hardcoded secrets or credentials
  • Input validation on all user input
  • SQL injection prevention (parameterized queries)
  • XSS prevention (output encoding)
  • Authentication/Authorization checks
  • No sensitive data in logs

Quality

  • Clean, readable code following style guides
  • SOLID principles followed
  • No code duplication (DRY)
  • Appropriate error handling
  • No over-engineering or speculative generality

Testing

  • Unit tests for business logic (>80% coverage)
  • Integration tests for APIs (>60% coverage)
  • Edge cases and error paths covered
  • Tests assert behavior, not implementation details

Read the full file on GitHub · 71 lines

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. 4d ago First seen · 71 lines · 16 tokens per session scan A ead2f8e68e54

Subscribe to this mod's changes

rev is a command published in the GitHub repository olehsvyrydov/AI-development-team (16 stars, last pushed 25d ago), licensed MIT. It adds 16 tokens to every session and 580 once invoked, about $0.0001 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.