design-check

design-check is a skill for Claude Code, Codex from arcasilesgroup/ai-engineering. It costs 84 tokens per session (1,817 once invoked), scanned A, original, Apache-2.0.

A design-to-code review that compares an implementation with a design.md specification.

In plain words
What is it for?
It is for checking whether a feature matches its written design before review or release.
Why use it?
It shows which requirements are implemented, incomplete, missing, or contradicted, and identifies behavior added without documentation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Good fit It is for checking whether a feature matches its written design before review or release.

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Install with agentmods
npx agentmods add skills/arcasilesgroup/ai-engineering/design-check
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 arcasilesgroup/ai-engineering --skill design-check
Clone the repo
git clone --depth 1 https://github.com/arcasilesgroup/ai-engineering

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 design-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/design-check/github.svg)](https://agentmods.dev/skills/arcasilesgroup/ai-engineering/design-check)
Your own site
<a href="https://agentmods.dev/skills/arcasilesgroup/ai-engineering/design-check"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/design-check/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-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/arcasilesgroup/ai-engineering/design-check"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/design-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,817 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 $0.00084 $0.01817
Opus 5.5 $0.00034 $0.00727
Sonnet 5.5 $0.00017 $0.00363
Haiku 4.5 $0.00008 $0.00182

Measured 1mo ago against content hash 577cae675233, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

design-check 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 1mo 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/ai-verify/tiers/3-chain/design-check/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design conformance check

Verify the code against the design document. The deliverable is a traceability table: every requirement in the spec mapped to the code that implements it, or marked as missing. No requirement may be silently dropped.

Read .claude/review/CONVENTIONS.md first — stack detection, severity, the false-positive gate, and the report format. The installed-version rule there applies: never call an implementation wrong based on remembered framework behavior.

1. Locate the spec

In order: a path given in the skill arguments → design.md at the repo root → docs/design.md, DESIGN.md, design/*.md, specs/*.md, docs/specs/*.md, docs/rfcs/*.md, an adr/ directory, or a PRD directory the project documents in its README/CONTRIBUTING. If the project has its own spec convention, follow it over this list.

If no design document exists, stop. Do not invent requirements, and do not substitute README.md, CLAUDE.md, or AGENTS.md — those describe setup and agent rules, not intended behavior. Report:

No design document found (looked at: <paths>). A conformance check needs a spec to check against. Point me at the file, or I can draft a design.md from the current implementation for you to correct — but note that a spec reverse- engineered from code cannot find design drift, since it would encode whatever the code already does.

Then stop and wait. Do not proceed to a general code review — that is code-audit.

2. Extract requirements

Read the spec end to end, then decompose it into atomic, checkable requirements. Assign each a stable ID (R1, R2, …) and keep the spec's own section names.

A good requirement is one you could write a test for. Split compound sentences: "the list paginates at 20 items and persists sort order across reloads" is two requirements, and they can have different verdicts.

Capture all three kinds, and label which each is:

  • Behavioral — what the app does (routes, states, flows, validation, errors)
  • Structural — architecture, file layout, data shapes, module boundaries
  • Visual/UX — layout, copy, spacing, responsive breakpoints, states

Read the full file on GitHub · 152 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. 1mo ago First seen · 152 lines · 84 tokens per session scan A 577cae675233

Subscribe to this mod's changes

design-check is a skill published in the GitHub repository arcasilesgroup/ai-engineering (61 stars, last pushed 2d ago), licensed Apache-2.0. It adds 84 tokens to every session and 1,817 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-12.

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