design-review-gate

design-review-gate is a skill for Claude Code from dsifry/metaswarm. It costs 35 tokens per session (3,928 once invoked), scanned A, original, MIT.

An automatic design checkpoint that asks five specialist reviewers to examine a proposed feature before coding starts.

In plain words
What is it for?
Use it after creating a design document to review the use case, technical structure, interface, security risks, and readiness for test-driven development, where TDD means writing tests before the implementation.
Why use it?
It helps catch product, architecture, user-experience, security, and test-planning problems while the design is still easier to change.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents.

Part of the metaswarm plugin — 14 skills, 16 commands, 2 hooks shipped together

Good fit Use it after creating a design document to review the use case, technical structure, interface, security risks, and readiness for test-driven development, where TDD means writing tests before the implementation.

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

Made for: Claude Code.

Or install metaswarm, the plugin that ships this one along with the rest of its 14 skills, 16 commands, 2 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 design-review-gate

README.md
[![agentmods](https://agentmods.dev/badge/skills/dsifry/metaswarm/design-review-gate/github.svg)](https://agentmods.dev/skills/dsifry/metaswarm/design-review-gate)
Your own site
<a href="https://agentmods.dev/skills/dsifry/metaswarm/design-review-gate"><img src="https://agentmods.dev/badge/skills/dsifry/metaswarm/design-review-gate/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 design-review-gate

Your own site · 80×15
<a href="https://agentmods.dev/skills/dsifry/metaswarm/design-review-gate"><img src="https://agentmods.dev/badge/skills/dsifry/metaswarm/design-review-gate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,928 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 pass 7 Sept 2026
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 $0.00035 $0.03928
Opus 5 $0.00017 $0.01964
Sonnet 5 $0.00007 $0.00786
Haiku 4.5 $0.00003 $0.00393

Measured 11d ago against content hash a58fa4462a49, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

design-review-gate 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 11d 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.

skills/design-review-gate/SKILL.md · 606 lines

How it starts

The opening of the file, as written. The whole thing — 606 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design Review Gate

Purpose

This skill automatically activates after a design document is created (typically via superpowers:brainstorming). It ensures complex features receive proper review before implementation begins by spawning five specialist agents:

  1. Product Manager Agent - Use case validation and user benefit review
  2. Architect Agent - Technical architecture review
  3. Designer Agent - UX/API design quality review
  4. Security Design Agent - Security threat modeling and protection review
  5. CTO Agent - Codebase alignment and TDD readiness review

All five must approve before proceeding to implementation.


Coordination Mode Note

This skill supports both coordination modes:

  • Task Mode (default): Spawn 5 parallel Task() subagents for each review round. Fresh instances per round.
  • Team Mode: TeamCreate("review-{design-doc-name}"), spawn 5 reviewers as named teammates (pm, architect, designer, security, cto). Reviewers retain context through revision cycles — saves 5 cold starts per re-review round. After approval, send shutdown_request to all, then TeamDelete.

In either mode, the review criteria, iteration protocol, and escalation rules are identical. See ./guides/agent-coordination.md for mode detection.


Activation Triggers

This skill auto-activates when:

  1. A design document is committed to docs/plans/*-design.md
  2. The superpowers:brainstorming skill completes
  3. User explicitly requests: /review-design <path-to-design.md>

Workflow

Phase 1: Spawn Review Agents (Parallel)

// Spawn all five agents in parallel for efficiency
const [pmResult, architectResult, designerResult, securityResult, ctoResult] = await Promise.all([
  Task({
    subagent_type: "general-purpose",
    description: "PM review",
    prompt: pmReviewPrompt(designDocPath),
  }),
  Task({
    subagent_type: "general-purpose",
    description: "Architect review",
    prompt: architectReviewPrompt(designDocPath),
  }),
  Task({
    subagent_type: "general-purpose",
    description: "Designer review",
    prompt: designerReviewPrompt(designDocPath),
  }),
  Task({
    subagent_type: "general-purpose",
    description: "Security design review",
    prompt: securityDesignReviewPrompt(designDocPath),
  }),
  Task({
    subagent_type: "general-purpose",
    description: "CTO review",
    prompt: ctoReviewPrompt(designDocPath),
  }),
]);

Read the full file on GitHub · 606 lines

Files

What ships with it

1 file 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. 11d ago First seen · 606 lines · 35 tokens per session scan A a58fa4462a49

Subscribe to this mod's changes

design-review-gate is a skill published in the GitHub repository dsifry/metaswarm (413 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 3,928 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.

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