Agent skill

Audit AI Frontend

by jxnl in jxnl/personal-monorepo-template

Audit AI-generated, AI-shaped, or AI-looking frontend code, UI screenshots, and design diffs.

No licenceAuto-check passedFrontend & Design

Install Audit AI Frontend

skills CLI
$ npx skills add jxnl/personal-monorepo-template --skill audit-ai-frontend -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jxnl/personal-monorepo-template audit-ai-frontend --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jxnl/personal-monorepo-template.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/audit-ai-frontend .claude/skills/audit-ai-frontend && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
audit-ai-frontend
GitHub stars
563
Token cost
~1.3k tokens
SKILL.md length
552 words
Files
6 (incl. references)
Skills in repo
12
Repo updated
First seen
Licence
None found

At a glance

Audit AI-generated, AI-shaped, or AI-looking frontend code, UI screenshots, and design diffs.

  • Works in 6 steps: Establish the local contract. → Inspect data flow and component shape… → Load only the reference you need. → …
  • Prompts like audit AI frontend
  • SKILL.md covers Use, Output, Guardrails and Resource
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Audit AI Frontend is an agent skill from jxnl/personal-monorepo-template. Audit AI-generated, AI-shaped, or AI-looking frontend code, UI screenshots, and design diffs. Use for prompts like "audit AI frontend", "de-slop UI", "componentize this screen", "parameterize this React/Tailwind/shadcn UI", "make it responsive/accessible", or "review design-system drift"; check component APIs, reusable props/data models, modular composition, shared primitives/tokens, responsive resilience, accessibility, copy quality, hard-coded fixture screens, one-off CSS piles, and generic cards/gradients/fonts.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/patterns.md` and `references/rubric.md`).

It sits in Frontend & Design, covering CSS and styling, Accessibility and Design systems. It works with React, shadcn/ui, Tailwind CSS and Playwright.

When your agent uses it

  • Prompts like audit AI frontend
  • Componentize this screen
  • Parameterize this React/Tailwind/shadcn UI
  • Make it responsive/accessible

Example prompts

  • “audit AI frontend”
  • “de-slop UI”
  • “componentize this screen”
  • “/audit-ai-frontend”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Establish the local contract.
  2. Inspect data flow and component shape before styling.
  3. Load only the reference you need.
  4. Preserve local system intent while removing accidental defaults.
  5. Fix in this order.
  6. Re-verify in browser after edits whenever possible.

What it can do on your machine

Read from SKILL.md and the folder at commit df86376. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Audit AI Frontend loads about 1.3k tokens when it runs, and up to ~8.8k if it reads all its reference files. Until then it costs about 135 tokens; SKILL.md has 552 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 552 words (~1,282 tokens).

“Audit or repair frontend UI/code that looks generically AI-generated, while preserving existing product structure unless the user asks for a redesign.”

— opening of SKILL.md by jxnl
name
audit-ai-frontend
last_edited
2026-06-15

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (references) in .codex/skills/audit-ai-frontend of jxnl/personal-monorepo-template.

  • SKILL.md
  • agents/openai.yaml
  • references/patterns.md
  • references/rubric.md
  • references/sources.md
  • references/workflows.md

Open the folder on GitHubat commit df86376

Compare with similar skills

Audit AI Frontend next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Audit AI Frontend compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit AI Frontend this skilljxnl/personal-monorepo-template563—~1.3kAutomated safety check: PassNone
Extract DesignManavarya09/design-extract4.2k—~786Automated safety check: NotesMIT
Light Frontend DesignLight0305/Light-skills640—~3.1kAutomated safety check: PassMIT
Frontend Mockup LoopBlackBeltTechnology/pi-agent-dashboard315—~2.9kAutomated safety check: PassMIT
Cosscrafter-station/petdex4.2k—~1.4kAutomated safety check: PassMIT
Avoid AI Designsunkaifei/FlyCms656—~3.5kAutomated safety check: PassMIT

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Questions about Audit AI Frontend

What does Audit AI Frontend do?

Audit AI-generated, AI-shaped, or AI-looking frontend code, UI screenshots, and design diffs. Audit AI Frontend is an agent skill from jxnl/personal-monorepo-template. Audit AI-generated, AI-shaped, or AI-looking frontend code, UI screenshots, and design diffs.

When should I use Audit AI Frontend?

Audit AI Frontend fits situations like: prompts like audit AI frontend; componentize this screen; parameterize this React/Tailwind/shadcn UI; make it responsive/accessible.

How do I install Audit AI Frontend in Claude Code?

Run `npx skills add jxnl/personal-monorepo-template --skill audit-ai-frontend -a claude-code`. Or copy the skill folder (.codex/skills/audit-ai-frontend in jxnl/personal-monorepo-template) into .claude/skills/audit-ai-frontend in your project. Claude Code loads it when a task matches its description.

How do I install Audit AI Frontend in Codex?

Run `npx skills add jxnl/personal-monorepo-template --skill audit-ai-frontend -a codex`. Or copy the skill folder (.codex/skills/audit-ai-frontend in jxnl/personal-monorepo-template) into .agents/skills/audit-ai-frontend in your project. Codex loads it when a task matches its description.

Can I use Audit AI Frontend in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jxnl/personal-monorepo-template --skill audit-ai-frontend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-ai-frontend, .gemini/skills/audit-ai-frontend, .github/skills/audit-ai-frontend and .opencode/skills/audit-ai-frontend in your project.

What does Audit AI Frontend need to run?

SKILL.md names no scripts, command-line tools or credentials: Audit AI Frontend is instructions for the agent only.

Does Audit AI Frontend access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Audit AI Frontend safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Audit AI Frontend use?

No licence was found for Audit AI Frontend or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Audit AI Frontend use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.5k tokens, read only when the agent opens those files.

What are the alternatives to Audit AI Frontend?

Skills that share tags, products or a category with Audit AI Frontend: Extract Design (Manavarya09/design-extract, 4.2k stars), Light Frontend Design (Light0305/Light-skills, 640 stars), Frontend Mockup Loop (BlackBeltTechnology/pi-agent-dashboard, 315 stars) and Coss (crafter-station/petdex, 4.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit AI Frontend?

jxnl (a GitHub user) maintains it in jxnl/personal-monorepo-template, which has 563 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on June 22, 2026.

Source: jxnl/personal-monorepo-template on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.