prototype-audit

prototype-audit is a skill for Claude Code, Codex from martinstofko219/agentic-design-toolkit. It costs 180 tokens per session (2,060 once invoked), scanned A, original, MIT.

A skill that compares user-research findings with a software prototype or Figma design. It checks whether the proposed interface addresses what research found about users.

In plain words
What is it for?
Use it to review React, Angular, HTML, wireframe, or Figma prototypes alongside a research-synthesis document and produce a prioritized implementation plan.
Why use it?
It exposes disagreements between evidence about user needs and the product design, so implementation effort can focus on the most important gaps.

Skill for Claude CodeCodex

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 skills/martinstofko219/agentic-design-toolkit/prototype-audit
Any agent
npx skills add martinstofko219/agentic-design-toolkit --skill prototype-audit
Clone the repo
git clone --depth 1 https://github.com/martinstofko219/agentic-design-toolkit

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 prototype-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/martinstofko219/agentic-design-toolkit/prototype-audit.svg)](https://agentmods.dev/skills/martinstofko219/agentic-design-toolkit/prototype-audit)
Your own site
<a href="https://agentmods.dev/skills/martinstofko219/agentic-design-toolkit/prototype-audit"><img src="https://agentmods.dev/badge/skills/martinstofko219/agentic-design-toolkit/prototype-audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,060 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 $0.00180 $0.02060
Opus 5 $0.00090 $0.01030
Sonnet 5 $0.00036 $0.00412
Haiku 4.5 $0.00018 $0.00206

Measured 3d ago against content hash e515229e49dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prototype-audit 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 3d 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/prototype-audit/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

prototype-audit

Research tells you what's true about users; a prototype is a bet about how to respond to that truth. This skill checks whether the bet is a good one — reading a research-synthesis doc and a prototype side by side, then writing a prioritized plan that closes whatever gap exists between them. It's a judgment task, not a checklist: the goal is an honest, well-evidenced answer to "does this actually address what we heard," not a mechanical diff.

Inputs

Two things must already exist: a research synthesis (themes, insights, quotes — typically research-synthesis output, though any findings doc will do) and a prototype meant to respond to it. The prototype can be:

  • a React/Vite app (prototype-design output) or an Angular build (spec-design output) in the workspace
  • a single-file HTML prototype (prototype-design output) or wireframe (wireframe-design output)
  • Figma frames, provided as a Figma link

If either input doesn't exist yet, point the user at the right skill instead of auditing something that isn't there.

Ask for the synthesis doc's path and the prototype's location or Figma link if they're not obvious — there's no fixed convention for where either lives. If the workspace has more than one candidate for either, confirm rather than assume; an audit built on the wrong prototype version or a stale synthesis doc wastes everyone's time.

Read everything before comparing anything

Read the full synthesis doc first — not just the Insights → Opportunities table; the quotes and "why it matters" notes carry nuance a table row strips out. Then read the prototype in full: every screen, every component, the actual copy, the flows a user can walk through. How depends on what it is:

  • React/Vite or Angular codebase — walk the routes or screen components, note what data and copy each screen actually shows, and pay attention to states: is there an empty state, an error state, or does the happy path stand alone?
  • HTML — read the screen markup and any data objects directly. A hi-fi prototype carries real copy and data, so content claims are fair game; a wireframe also carries annotations worth reading, and if it was built in placeholder mode (bars instead of real copy) that limits what you can honestly claim about content later.
  • Figma frames — use the Figma MCP to pull both the design context (layout structure, component usage, actual text content, and any variants, states, or annotation notes) and a screenshot of each frame, and read them together — the structured context tells you what exists and what things are named, the screenshot confirms what a user actually sees. Walk every frame in the flow, not just the one linked. If the Figma MCP is unavailable, ask for exported screenshots of every frame instead.

Read the full file on GitHub · 99 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. 3d ago First seen · 99 lines · 180 tokens per session scan A e515229e49dc

Subscribe to this mod's changes

prototype-audit is a skill published in the GitHub repository martinstofko219/agentic-design-toolkit (1 stars, last pushed 1mo ago), licensed MIT. It adds 180 tokens to every session and 2,060 once invoked, about $0.0009 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.

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