review

review is a command for coding agents from lgbarn/shipyard. It costs 16 tokens per session (695 once invoked), scanned A, original, MIT.

An on-demand command for reviewing uncommitted changes, a range of commits, a branch, or selected files. It gathers the relevant differences and applies the project's review settings when available.

In plain words
What is it for?
Use it to review local work, compare branches or commits, inspect particular paths, and obtain feedback before merging.
Why use it?
It makes it clear exactly which code should be examined, even when there are no changes in the current working area.

Command

Part of the shipyard plugin — 25 skills, 25 commands, 20 agents, 6 hooks 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/lgbarn/shipyard/review
Clone the repo
git clone --depth 1 https://github.com/lgbarn/shipyard

Or install shipyard, the plugin that ships this one along with the rest of its 25 skills, 25 commands, 20 agents, 6 hooks.

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 review

README.md
[![agentmods](https://agentmods.dev/badge/commands/lgbarn/shipyard/review.svg)](https://agentmods.dev/commands/lgbarn/shipyard/review)
Your own site
<a href="https://agentmods.dev/commands/lgbarn/shipyard/review"><img src="https://agentmods.dev/badge/commands/lgbarn/shipyard/review.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 695 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 $0.00695
Opus 5 $0.00008 $0.00347
Sonnet 5 $0.00003 $0.00139
Haiku 4.5 $0.00002 $0.00069

Measured 4d ago against content hash 4c351af29d17, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

commands/review.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/shipyard:review - On-Demand Code Review

You are executing an on-demand code review. Follow these steps precisely.

Step 1: Parse Arguments

Extract from the command:

  • target (optional): What to review. Accepts:
    • No argument / "current": Review uncommitted changes (git diff + git diff --cached)
    • Diff range (e.g., main..HEAD, abc123..def456): Review commits in range
    • File/directory path: Review current state of specific files
    • Branch name: Review branch changes vs main (main..<branch>)

If no target and no uncommitted changes exist, ask the user what they want reviewed.

Step 2: Detect Context

  1. Check if .shipyard/ exists (optional — this command works anywhere).
  2. If .shipyard/config.json exists, read model_routing.review for model selection.
  3. Otherwise, use default model: sonnet.
  4. Follow Worktree Protocol (see docs/PROTOCOLS.md) — detect worktree context.

Step 3: Gather Diff

Based on the target, collect the code to review:

  • Current: git diff + git diff --cached
  • Range: git diff <range> + git log --oneline <range>
  • Path: git diff HEAD -- <path> (or read files directly if untracked)
  • Branch: git diff main...<branch>

If the diff is empty, inform the user and stop.

Step 4: Build Agent Context

Assemble context per Agent Context Protocol (see docs/PROTOCOLS.md):

  • The diff content collected in Step 3
  • .shipyard/PROJECT.md (if exists) — for project understanding
  • Codebase docs per Codebase Docs Protocol (if .shipyard/ exists)
  • Working directory, current branch, and worktree status
  • If a PLAN.md is associated (user mentions a plan), include it for spec compliance review

Step 5: Dispatch Reviewer

Dispatch a reviewer agent (subagent_type: "shipyard:reviewer") with:

  • Follow Model Routing Protocol — resolve model from model_routing.review (default: sonnet)
  • max_turns: 15
  • All context from Step 4
  • Instruction: Perform two-stage review (spec compliance if plan provided, otherwise skip to code quality)

Read the full file on GitHub · 77 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 · 77 lines · 16 tokens per session scan A 4c351af29d17

Subscribe to this mod's changes

review is a command published in the GitHub repository lgbarn/shipyard (65 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 695 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.