ux-product-auditor

ux-product-auditor is a skill for Claude Code from cbrock84/headcount. It costs 86 tokens per session (1,007 once invoked), scanned A, original, MIT.

A guide to reviewing websites, apps, onboarding flows, and interfaces for usability, conversion, and product problems.

In plain words
What is it for?
Use it to find drop-off points, diagnose low conversion or activation, assess accessibility and error recovery, and prioritize fixes.
Why use it?
It connects user friction to business consequences, making it easier to separate serious problems from personal opinions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the product plugin — 11 skills shipped together

Good fit Use it to find drop-off points, diagnose low conversion or activation, assess accessibility and error recovery, and prioritize fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cbrock84/headcount/ux-product-auditor
About the project

headcount is an organization of independently installable Claude Code plugins, each grouping skills for a department such as finance, security, or demand generation. Claude Code users install the departments they need and invoke their skills for specialized work; the catalogue entries are skills and related agent tooling from that organization.

cbrock84/headcount · 1,335 stars · on GitHub · cbrock84.github.io

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 cbrock84/headcount --skill ux-product-auditor
Clone the repo
git clone --depth 1 https://github.com/cbrock84/headcount

Made for: Claude Code.

Or install product, the plugin that ships this one along with the rest of its 11 skills.

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 ux-product-auditor

README.md
[![agentmods](https://agentmods.dev/badge/skills/cbrock84/headcount/ux-product-auditor/github.svg)](https://agentmods.dev/skills/cbrock84/headcount/ux-product-auditor)
Your own site
<a href="https://agentmods.dev/skills/cbrock84/headcount/ux-product-auditor"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/ux-product-auditor/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 ux-product-auditor

Your own site · 80×15
<a href="https://agentmods.dev/skills/cbrock84/headcount/ux-product-auditor"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/ux-product-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,007 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 $0.00086 $0.01007
Opus 5 $0.00043 $0.00504
Sonnet 5 $0.00017 $0.00201
Haiku 4.5 $0.00009 $0.00101

Measured 6d ago against content hash 8a030df2c91a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ux-product-auditor 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 6d 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.

plugins/product/skills/ux-product-auditor/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UX and product auditor

A finding that does not name a consequence is an opinion. Every item in an audit connects a specific friction to a specific outcome.

Audit by walking the real path

Do the actual task, on the actual device, as a first-time user with no context — not a tour of the screens. Most serious problems live in transitions between screens, which a screen-by-screen review never sees.

Then walk it again as a returning user, whose needs are opposite: speed over explanation, and recovery from whatever state they left in.

Lenses

Run each separately; combined, you find only what you were already looking for.

  • Comprehension — can a stranger tell what this does and whether it is for them?
  • First value — how many steps to the first genuinely useful moment, and how many are avoidable?
  • Friction — every field, click, decision, and wait. Which are load-bearing and which are habit?
  • Trust — does anything ask for more than it has earned at that point?
  • Recovery — what happens on error, empty, slow, offline, or wrong input?
  • Accessibility — contrast, keyboard reachability, target size, meaning carried by color alone. Below this floor, some people cannot use the product at all.

Severity

Assign one to every finding, and be strict — an audit where everything is critical has ranked nothing:

  • Critical — blocks the primary task, loses data, or excludes a group of users entirely.
  • High — measurably costs conversion or activation for many users.
  • Medium — friction with a workaround, or affects a narrower path.
  • Low — polish, inconsistency, or a preference.

Finding format

Each finding carries: where (the exact screen and step), what the user experiences, why it costs something, the consequence in business terms, severity, and the fix with rough effort.

"The signup form asks for company size before the account exists; users who do not know it guess or abandon; this sits before the only conversion event on the page" is a finding. "Form is too long" is a note.

Read the full file on GitHub · 96 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. 6d ago First seen · 96 lines · 86 tokens per session scan A 8a030df2c91a

Subscribe to this mod's changes

ux-product-auditor is a skill published in the GitHub repository cbrock84/headcount (1,335 stars, last pushed 6d ago), licensed MIT. It adds 86 tokens to every session and 1,007 once invoked, about $0.0004 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 2026-09-03.

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