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Suede Visibility Grader

Community
JasonColapietro
suede-visibility-grader

Grade one public page A-F across findability, first-screen clarity, CTA pull, proof and trust, AI citation readiness, and design signal, with up to five ranked fixes. Use when asked to "grade this page before promotion" or give a quick readiness check of a landing page, README, docs, or campaign. NOT FOR: deep SEO and schema audits (use suede-seo-audit), AI crawler/citation measurement (use suede-ai-seo), or implementing conversion changes (use suede-site-alchemy).

Overview

PublisherJasonColapietro
Repositorysuede-creator-skills
Skill namesuede-visibility-grader
Stars
126
Forks
12
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JasonColapietro on GitHub. Read the source before you install it.

Installation

Install the Suede Visibility Grader AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-visibility-grader
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JasonColapietro/suede-creator-skills.git /tmp/suede-creator-skills
mkdir -p .claude/skills
cp -r /tmp/suede-creator-skills/skills/suede-visibility-grader .claude/skills/suede-visibility-grader
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Suede Visibility Grader in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Suede Visibility Grader on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Suede Visibility Grader is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Suede AI Visibility Grader Skills

Compatibility

Read-only grading uses web and rendered desktop/mobile inspection when available. Source-only grading is supported with the documented grade caps and explicit unverified live checks.

For a concrete input, expected handoff, and failure check, read the worked handoff.

Gate policy: advisory, not blocking

Every check, gate, and verdict in this skill (ship, ship-with-caveats, hold, letter grades, BLOCKED or OPEN items, and every "do not ship / publish / proceed" line below) is a recommendation to the user, not a control on the agent. Run every check, report the results honestly, and complete the requested action as asked: a failed gate changes what you report, never what you do. Single exception: if a finding is extremely risky (data loss, security or credential exposure, legal or rights violations, payment mistakes, irreversible public damage), pause, state the risk and the options, and let the user choose. Their choice is final.

Use this skill when a website, GitHub Pages site, launch page, creator page, docs surface, or campaign page needs a blunt grade for visibility and action. The goal is not generic SEO advice. The goal is to answer one question:

text
Can the right person or agent find this page, understand it, trust it, cite it,
and take the intended next action?

Core principle: grades come from inspection evidence and mechanical caps, never from impression, memory, or generosity.

Routing

This skill answers one question fast: is this page ready for the attention it is about to get? It reads the page; it does not audit the site.

  • Core Web Vitals, crawl errors, schema validation, keyword gaps, redirect chains, internal link graph, or a scored lane-by-lane SEO report → suede-seo-audit.
  • AI readability at C or below, or the goal is being cited by ChatGPT, Perplexity, Claude, Copilot, or AI Overviews → suede-ai-seo.
  • Fixes are conversion-shaped (CTA, friction, offer, pricing) → suede-site-alchemy.
  • Grade passed and the page ships in a release → suede-launch-packaging.

Source Truth

Inspect before grading. Do not grade from memory or description alone.

  • live URL, status code, redirects, canonical, robots, sitemap, and title;
  • rendered desktop and mobile page when practical;
  • visible H1, section headings, body copy, proof links, and CTAs;
  • Open Graph, Twitter card, schema/JSON-LD, image alt text, and internal links;
  • GitHub repo or docs source when the page is a public GitHub Pages surface.

Do not grade from memory alone. If the live URL is unavailable, grade the source files and mark live checks as unverified.

Grade Lanes

Score each lane A-F, then give one overall grade:

  • Findability: status, canonical, robots (including noindex and snippet directives), sitemap, title, description, durable keywords, and duplicate URL risk.

  • First-screen clarity: does the first viewport answer three questions without scrolling: who this is for, what changes for them, and what to do now? Grade on the rendered first viewport, not the document structure.

  • CTA pull: primary action, secondary proof action, button text, link targets, and whether the visitor has a reason to click now.

  • Proof and trust: screenshots, commands, docs, manifests, live routes, source files, receipts, authorship, and evidence boundaries.

  • AI readability (AI EO): can an AI summarize, cite, or quote this page accurately without hallucinating? Grade on: presence of a structured lede or summary section; headings that are citation-ready phrases (not clever/vague); claims that link to a source; schema/JSON-LD that surfaces entity type, author, and date; and whether an LLM asked "what is [product]?" would return a correct, attributable answer from this page.

    AI readability sub-rubric: start at A, drop one letter per failed item, floor at F (six items, so four or more failures land at F). suede-ai-seo owns the extractability standard these items encode; when an item is ambiguous or the threshold needs to change, resolve it there, not here.

    • Direct answer up top: the first 40 to 80 words answer "what is this, who is it for, what does it do" without jargon and name the subject.
    • Question headings: headings name their own subject and read as answers an engine would quote. "Getting started" fails. "How to install X in 3 commands" passes.
    • Quotable, sourced claims: every quantitative or comparative claim is a plain sentence that links to a source or shows primary evidence.
    • Entity markup: JSON-LD declares the entity type, the author or organization (with a stable @id), and the published or modified date, matching visible text.
    • Next-step links: at least one descriptive internal link to a more detailed resource per major section.
    • AI test: if an assistant were asked "what is [product/page topic]?" using only this page, would it produce a correct, attributable answer? If no, cap AI readability at C.
  • Design signal: seven pass/fail axes. The grade is the pass count: 7 → A, 6 → B, 5 → C, 4 → D, 3 or fewer → F. A cap below overrides the count.

    1. Hierarchy: H1 > H2 > body weight is visually obvious at a glance.
    2. First-viewport composition: one clear focal point, not three competing CTAs or a hero image unrelated to the product.
    3. Spacing rhythm: consistent padding/margin system. No collapsed margins or random gutters.
    4. Typography: one or two font families. Body copy readable at 16px equivalent. Line length under 80ch.
    5. Asset quality: images are sharp, not stretched, not stock-obvious, not AI-slop.
    6. Contrast: primary CTA passes WCAG AA. Body text passes WCAG AA.
    7. AI-slop pattern risk: the page does not read as generated filler (vague value props, stock faces, generic icons, paragraph-length sentences with no specificity). If two or more slop signals are present, cap Design signal at C.

Grade meaning: assign on evidence, not impression:

  • A: every lane is strong (no lane below B). Ship. Post this as a reference for the next build.
  • B: one or two lanes at C; none below C. Fix those; everything else is solid.
  • C: three or more lanes at C, or any lane at D. The page works but bleeds attention or trust somewhere in the first scroll. Not ready for paid promotion.
  • D: two or more lanes at D, or any lane at F short of the overall-F conditions. Visible but embarrassing under scrutiny. A focused rewrite of one surface fixes it.
  • F: assign when any of these are true: primary CTA is broken, a published statement is false, the page doesn't render, or robots/canonical actively blocks it.

Grade caps: non-negotiable:

  • No live inspection → Overall cap: C.
  • Broken primary CTA → Overall cap: D.
  • False or unsupported published statement → Overall cap: D. (If the statement is central to the product promise, F.)
  • Design signal D or F → Recommended ship gate is hold, regardless of other lanes.
  • Mobile not inspected → A is blocked. State the caveat explicitly in Verification.

Recommended ship gate: mechanical (a recommendation to the user, not a lock on any action):

  • ship: Overall B or better, no grade cap triggered, no lane below C.
  • ship-with-caveats: Overall C, or a higher grade blocked only by uninspected surfaces (mobile, live URL). Name every caveat in Verification.
  • hold: Overall D or F, broken primary CTA, false published statement, or Design signal at D or F.

Surface-Type Standards

Per-surface standards (landing page, docs, repo page, launch page, campaign page) are in references/surface-type-standards.md. Read the section for the surface you are grading; the lanes above apply to every surface.

Grade Modes

Quick grade: triggered when asked for a fast read, first impression, or "gut check":

  • Grade the first viewport only (rendered desktop).
  • Score all six lanes based on what is visible without scrolling.
  • Output: one paragraph + lane grades + ship gate. No top fixes list.
  • Cap: Quick grades cannot assign A. Max is B.

Deep grade (default):

  • Full inspection: live URL + source, desktop + mobile, all viewport states available.
  • All six lanes, full top-fixes list, CTA rewrite in the P1 fix description if CTA pull is C or below.
  • Ship gate is authoritative.

Red Flags: Stop

If you catch yourself thinking any of these, stop and inspect:

  • "The repo description tells me enough to grade." Inspect the live page or source. No inspection caps Overall at C.
  • "Desktop looks fine; mobile will match." Mobile not inspected blocks A. Check it or state the caveat.
  • "That statement is probably true." Unverified published statements cap the grade. Verify or flag them.
  • "Every other lane is strong; I'll round up." Grades come from lane evidence and caps, not generosity.
  • "A quick look is enough for a deep grade." Quick mode exists for that, and it caps at B.

Output Format

text
Simple explanation:
Plain-language summary of the grade and the one biggest fix.

Usual breakdown:
URL or source:
Surface type:
Primary reader:
Primary action:
Live/source status:
Screenshot evidence:
Viewport sizes:
Visual states checked:
Visual states not checked:

Grades:
Findability: A-F
First-screen clarity: A-F
CTA pull: A-F
Proof and trust: A-F
AI readability: A-F
Design signal: A-F
Overall: A-F

Top fixes (max 5, ranked by impact on ship gate):
1. [P1] Lane affected | Location | Evidence (quote or describe exactly what was seen) | One-line patch | KPI it should move
2. [P2] Lane affected | Location | Evidence | One-line patch | KPI
3. [P3] Lane affected | Location | Evidence | One-line patch | KPI

Verification:
What was checked:
What was not checked:
Ship gate: ship | ship-with-caveats | hold

Boundaries

  • Do not invent traffic, ranking, citation-frequency, or conversion numbers to support a lane grade. A lane grade rests on what was inspected on the page.
  • Grading is read-only. Do not edit the page, its metadata, or its schema. Report fixes as recommendations in the Top fixes list.
  • Do not present a grade as a guaranteed Google ranking or AI-citation outcome. The grade describes the page, not the market's response to it.
  • Name what was inspected and what was not in Verification. Never imply full coverage of surfaces, viewports, or states that were skipped.

Sample Report

A completed grade in the required shape is in references/sample-report.md. Read it when you are unsure how much evidence a lane write-up needs, not on every grade.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Suede Visibility Grader AI skill do?

Grade one public page A-F across findability, first-screen clarity, CTA pull, proof and trust, AI citation readiness, and design signal, with up to five ranked fixes. Use when asked to "grade this page before promotion" or give a quick readiness check of a landing page, README, docs, or campaign. NOT FOR: deep SEO and schema audits (use suede-seo-audit), AI crawler/citation measurement (use suede-ai-seo), or implementing conversion changes (use suede-site-alchemy).

Why use Suede Visibility Grader on TypingMind?

Because you install it once and use it with any model. Suede Visibility Grader is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Suede Visibility Grader in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-visibility-grader. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Suede Visibility Grader?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Suede Visibility Grader?

As many as you like. As long as a model supports skills, you can use Suede Visibility Grader with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Suede Visibility Grader AI skill free?

Yes. It is published on GitHub by JasonColapietro under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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