review

review is a skill for Claude Code from louisbrulenaudet/monorepo-template. It costs 47 tokens per session (2,249 once invoked), scanned A, original, Apache-2.0.

A structured review workflow for code, pull requests, or documentation. A pull request is a proposed set of changes waiting for review before it is merged.

In plain words
What is it for?
Use it to review architecture, scalability, performance, security, maintainability, and continuous-integration work, then produce prioritized suggestions.
Why use it?
It turns a review into a practical change plan by grouping findings by importance and explaining what to change, where, and why.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter; installed under .agents/ (shared by several agents); mentions AGENTS.md.

Good fit Use it to review architecture, scalability, performance, security, maintainability, and continuous-integration work, then produce prioritized suggestions.

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

Made for: Claude Code.

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/skills/louisbrulenaudet/monorepo-template/review/github.svg)](https://agentmods.dev/skills/louisbrulenaudet/monorepo-template/review)
Your own site
<a href="https://agentmods.dev/skills/louisbrulenaudet/monorepo-template/review"><img src="https://agentmods.dev/badge/skills/louisbrulenaudet/monorepo-template/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 review

Your own site · 80×15
<a href="https://agentmods.dev/skills/louisbrulenaudet/monorepo-template/review"><img src="https://agentmods.dev/badge/skills/louisbrulenaudet/monorepo-template/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,249 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 7
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
How audits are shown
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 $0.00047 $0.02249
Opus 5 $0.00023 $0.01125
Sonnet 5 $0.00009 $0.00450
Haiku 4.5 $0.00005 $0.00225

Measured 12d ago against content hash e90c2d6cb43b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 12d 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.

.agents/skills/review/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review

Run a review of the current context (code, PR, or docs). Your reply must be a plan of suggested changes: concise, actionable, and structured-not only prose.

Invocation

Text after the slash command is additional scope/focus - narrow the review accordingly. If none given, use the default scope described below.

Best practices alignment

This command is designed to align with industry best practices for (AI-assisted) code and technical reviews:

  • Explicit scope and dimensions - Clear categories (architecture, scalability, performance, security, maintainability, CI) so feedback is scoped and not generic.
  • Context and conventions - Reference to AGENTS.md and key artifacts ensures context-aware, project-aligned suggestions.
  • Actionable, explainable feedback - Every item requires what, where, and why; suggestions must be implementable.
  • Structured output - Critical / Improvements / Optional with headings and bullets for scannable plans.
  • Conduct and scope - Be constructive and specific. Stay in scope; call out out-of-scope concerns as separate follow-up items. For minor polish, prefix with Nit: so the author knows it's non-blocking.
  • Trade-offs - When a suggestion involves trade-offs (e.g. performance vs readability), mention them briefly so the author can decide.

Deep technical review

When asked for a full or deep codebase review, conduct a deep, end-to-end technical review with the objective of bringing the codebase to state-of-the-art production standards. Your analysis should be critical, exhaustive, and opinionated where justified. Align with the root AGENTS.md and app-level apps/worker-api/AGENTS.md for conventions and architecture.

Key artifacts to consider: Root and app package.json / pnpm-workspace.yaml / turbo.json; root package.json scripts; apps/front-app/vite.config.ts (React, Tailwind, @cloudflare/vite-plugin); apps/front-app/wrangler.jsonc (SPA assets, env); apps/worker-api/wrangler.jsonc; apps/worker-api/src/index.ts (middleware order, routes); shared DTOs in packages/dtos-common/ and enums in packages/enums-common/; .github/workflows/ci.yml; .dev.vars usage and secrets handling.

Read the full file on GitHub · 127 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. 12d ago First seen · 127 lines · 47 tokens per session scan A e90c2d6cb43b

Subscribe to this mod's changes

review is a skill published in the GitHub repository louisbrulenaudet/monorepo-template (19 stars, last pushed 11d ago), licensed Apache-2.0. It adds 47 tokens to every session and 2,249 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 2026-08-30.