vetmanager-mcp: Command for Claude Code

.claude/commands/super-review.md

super-review is a command for Claude Code, Codex from otis22/vetmanager-mcp. It costs 42 tokens per session (4,567 once invoked), scanned A, original, MIT.

A command that coordinates a broad software project review across code, documentation, tests, security, architecture, performance, and product requirements. It combines findings into a written Markdown report.

In plain words
What is it for?
Use it for a structured review of a project or change. It also checks workflow concerns, groups duplicate findings, assigns severity, and produces a report in the artifacts/review directory.
Why use it?
It brings several types of review into one process and helps identify issues such as missing tests, documentation drift, security risks, and reliability problems.

Command for Claude CodeCodex

Written for Claude Code and Codex: argument-hint in frontmatter, but also runs codex exec. Also seen: reads .claude/ paths; mentions subagents; positional $N argument.

This is otis22/vetmanager-mcp's own configuration. It tells Claude Code and Codex how to work on vetmanager-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vetmanager-mcp configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is - `../vetmanager-extjs/application/src/Entity/*.php` (Entity classes).

Reuse

Borrowing it

Nothing to install: this file belongs to otis22/vetmanager-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/otis22/vetmanager-mcp/main/.claude/commands/super-review.md
Clone the repo
git clone --depth 1 https://github.com/otis22/vetmanager-mcp

Made for: Claude Code, Codex.

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 super-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/otis22/vetmanager-mcp/super-review/github.svg)](https://agentmods.dev/commands/otis22/vetmanager-mcp/super-review)
Your own site
<a href="https://agentmods.dev/commands/otis22/vetmanager-mcp/super-review"><img src="https://agentmods.dev/badge/commands/otis22/vetmanager-mcp/super-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 super-review

Your own site · 80×15
<a href="https://agentmods.dev/commands/otis22/vetmanager-mcp/super-review"><img src="https://agentmods.dev/badge/commands/otis22/vetmanager-mcp/super-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,567 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 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 5.1 $0.00042 $0.04567
Opus 5 $0.00021 $0.02284
Sonnet 5 $0.00008 $0.00913
Haiku 4.5 $0.00004 $0.00457

Measured 9d ago against content hash 01266b770e37, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

super-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 9d 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/super-review.md · 333 lines

How it starts

The opening of the file, as written. The whole thing — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Super-review: многоплановое ревью проекта

Ты — оркестратор ревью. Выполняй по шагам.

Модельная матрица

Используй универсальную схему: дешёвые/быстрые модели повышают полноту поиска, сильные модели принимают решения.

Слой Codex/GPT Claude Назначение
Scout/prepass gpt-5.3-codex-spark Haiku/Sonnet light Массовые кандидаты findings, chunk review, edge cases, docs/tests drift, snippet collection
Code/docs/tests gpt-5.4-mini или gpt-5.3-codex-spark Sonnet Локальное качество, тестовые пробелы, verified docs drift
Observability gpt-5.4 Sonnet Логи, метрики, трассировка, пригодность для дебага
Perf/reliability gpt-5.4 или gpt-5.5 Opus или strong Sonnet Hot paths, retry/timeout, partial failure, async pitfalls
Security gpt-5.5 Opus Auth/token/SSRF/SQLi/secrets findings
Architecture gpt-5.5 Opus Границы модулей, coupling, long-term design
Product/PRD gpt-5.5 Opus Acceptance criteria, UX для LLM-клиента, breaking changes
Aggregator/verdict gpt-5.5 Opus Dedup, adequacy, severity, финальный verdict
Arbitration/challenge gpt-5.5 Opus Проверка Top-10 и спорных findings

Правило: gpt-5.3-codex-spark findings — untrusted leads. Они идут в aggregator только как кандидаты с source: spark-scout; финальный verdict, severity и do-not-merge решение не отдавай Spark.

Cross-CLI arbitration

Финальная arbitration всегда идёт через другую модельную семью, чем основной orchestrator:

  • Если super-review запущен в Claude Code: внешний арбитр — Codex CLI (codex exec) на gpt-5.5, fallback gpt-5.4.
  • Если super-review запущен в Codex: внешний арбитр — Claude CLI (claude -p) на opus, fallback sonnet.

Определи runtime по доступному окружению/контексту. Если сомневаешься:

  • .claude/commands/super-review.md внутри Claude Code → считаем runtime=claude.
  • Codex skill / Codex CLI / текущий агент Codex → считаем runtime=codex.

Read the full file on GitHub · 333 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. 9d ago First seen · 333 lines · 42 tokens per session scan A 01266b770e37

Subscribe to this mod's changes

super-review is a command published in the GitHub repository otis22/vetmanager-mcp (1 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 4,567 once invoked, about $0.0002 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 2026-08-31.