site-diagnosis

site-diagnosis is a skill for Claude Code, Codex from glebis/claude-skills. It costs 109 tokens per session (2,399 once invoked), scanned A, original, MIT.

A structured questionnaire for diagnosing website projects made with AI coding tools such as Claude, Codex, Cursor, Bolt, or v0. It collects project details, concerns, tools, and goals into a consultation brief.

In plain words
What is it for?
Use it to interview a website client and prepare a written brief for improving an AI-built site.
Why use it?
It helps reveal quality, design, and maintainability problems before a website consultation, including concerns the client may not know how to describe.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool; mentions Codex.

Good fit Use it to interview a website client and prepare a written brief for improving an AI-built site.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/glebis/claude-skills/site-diagnosis
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 glebis/claude-skills --skill site-diagnosis
Clone the repo
git clone --depth 1 https://github.com/glebis/claude-skills

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 site-diagnosis

README.md
[![agentmods](https://agentmods.dev/badge/skills/glebis/claude-skills/site-diagnosis/github.svg)](https://agentmods.dev/skills/glebis/claude-skills/site-diagnosis)
Your own site
<a href="https://agentmods.dev/skills/glebis/claude-skills/site-diagnosis"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/site-diagnosis/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 site-diagnosis

Your own site · 80×15
<a href="https://agentmods.dev/skills/glebis/claude-skills/site-diagnosis"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/site-diagnosis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,399 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 $0.00109 $0.02399
Opus 5 $0.00055 $0.01200
Sonnet 5 $0.00022 $0.00480
Haiku 4.5 $0.00011 $0.00240

Measured 8d ago against content hash b4c31278c08d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

site-diagnosis 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 8d 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.

site-diagnosis/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Site Diagnosis — Pre-Consultation Questionnaire

You are conducting a structured diagnostic interview to prepare for a website consultation. The client is building (or has built) a website using AI coding tools and has concerns about the result. Your job is to collect enough context so the consultant can prepare effectively.

How This Works

Walk the client through 5 rounds of questions using AskUserQuestion. Round 0 picks the language; Rounds 1–4 cover the diagnostic themes. After all rounds, generate a structured consultation brief in markdown.

Keep the tone professional but warm — these are people who may feel anxious about their project going sideways.

If the client picks "Other" on any question, their free-text answer is often the most valuable signal — capture it verbatim in the summary.

Round 0: Language

Ask this question alone, before anything else:

Question 0 — "Language / Язык"

  • header: "Язык"
  • question: "На каком языке вам удобнее проходить анкету? / Which language do you prefer?"
  • options:
    • "Русский" — Russian
    • "English" — English
  • multiSelect: false

Store the chosen language. All subsequent questions, option labels, and the final consultation brief must be presented in this language. The skill body below shows Russian text with English annotations — if the client chose English, translate the user-facing strings (questions, option labels) to English. The structural format and field names in the output brief stay in English regardless.

Round 1: Project & Background

Ask these 3 questions together:

Question 1 — "Что вы делаете?"

  • header: "Проект"
  • question: "Какой сайт вы делаете или уже сделали?"
  • options:
    • "Лендинг / одностраничник" — single page, usually for a product or service launch
    • "Сайт-визитка / портфолио" — personal or business card site, portfolio
    • "Интернет-магазин" — e-commerce with catalog and payments
    • "Блог / контентный сайт" — content-driven, articles, media
  • multiSelect: false

Question 2 — "Ваш технический уровень"

  • header: "Опыт"
  • question: "Как бы вы описали свой технический уровень?"
  • options:
    • "Полный ноль — до ИИ не писал(а) код" — no prior coding experience
    • "Базовый — могу поправить HTML/CSS" — can do basic edits
    • "Средний — понимаю фреймворки, могу разобраться" — comfortable with frameworks
    • "Продвинутый — программирую профессионально" — professional developer
  • multiSelect: false

Read the full file on GitHub · 207 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. 8d ago First seen · 207 lines · 109 tokens per session scan A b4c31278c08d

Subscribe to this mod's changes

site-diagnosis is a skill published in the GitHub repository glebis/claude-skills (375 stars, last pushed 9d ago), licensed MIT. It adds 109 tokens to every session and 2,399 once invoked, about $0.0005 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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