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Metadata Check

Community
jdevalk
metadata-check

Reviews short high-value strings — page titles, meta descriptions, schema description fields, FAQ answers, GitHub repo taglines, profile bios, social-card copy, and other metadata where Flesch and paragraph-level readability checks don't apply. Checks front-loading, concreteness, filler, active voice, title/description duplication, difficult words, SERP-truncation fit, and one-idea-per-field. Use when the user asks to review metadata, a tagline, a bio, or SEO strings, or proactively after generating any short string with audience-facing impact. Chained into by astro-seo, wp-readme-optimizer, github-repo, and github-profile for their metadata outputs. For multi-paragraph prose, use the `readability-check` skill instead.

Overview

Publisherjdevalk
Repositoryskills
Skill namemetadata-check
Stars
109
Forks
10
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Metadata Check 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/jdevalk/skills/tree/main/metadata-check
  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/jdevalk/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/metadata-check .claude/skills/metadata-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Metadata Check 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 Metadata Check 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 Metadata Check 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.

Metadata check

Reviews short, high-value strings where every character counts — titles, meta descriptions, schema descriptions, FAQ answers, taglines, bios, and social-card copy. Flesch scoring and the ten-category readability rubric don't fit a 5–30 word string; this skill applies the checks that do.

Use this skill for anything in the metadata-string shape. For multi-paragraph prose (blog posts, READMEs, CONTRIBUTING files), use readability-check instead.

What to check

For each string, check these points. Every check is either ✓ (pass), ⚠ (needs work), or ✗ (problem).

  • Front-load the distinguishing word. The most specific, searchable term sits near the start. "Astro SEO: the definitive guide" beats "The definitive guide to Astro SEO" — the reader's eye hits the topic first.
  • Concrete over abstract. Names, numbers, specific claims. "Reduce LCP by 40%" beats "Improve performance significantly."
  • Filler and hedging — aggressive. Every word costs shelf space. Cut really, just, very, actually, basically, simply, a bit, kind of, I think. In metadata these aren't style ticks, they're wasted SERP characters.
  • Active voice unless the object is the subject. "Audit your GitHub profile" beats "Your GitHub profile can be audited."
  • No title/description duplication. A meta description that restates the title burns ~60 of 200 characters for nothing. The description should promise what's inside the page, not re-announce what it is.
  • Difficult words. Prefer the common synonym unless the domain term is what the user searches for. Between utilize and use, use use. Domain terms the target audience expects are fine (hydration, middleware, structured data).
  • SERP and platform truncation. Know the limit for the surface:
    • Google SERP: titles clipped around 55–65 characters, descriptions around 155–160.
    • GitHub repo description: ~350 chars, but only the first ~100 show in search results and on profile cards.
    • Twitter/X bio: 160 chars.
    • Open Graph description: usually shown at ~200 chars. Anything past the cut should be disposable, not a key promise.
  • One idea per field. Titles and descriptions that try to promise two things land fuzzy. Pick the sharpest one.

What to skip

Don't run this skill on:

  • URLs, schema @id values, filenames, enum values, or any technical identifier.
  • Multi-paragraph prose — route that to readability-check.
  • Strings the user did not write and cannot change (imported content, upstream defaults).

Output format

Per string, return:

markdown
### [Field name] — [length] chars

> [The string itself]

- Front-loading: [✓/⚠/✗] [one-line reason if not ✓]
- Concreteness: [✓/⚠/✗] [reason]
- Filler: [✓/⚠/✗] [reason]
- Active voice: [✓/⚠/✗] [reason]
- Duplication: [✓/⚠/✗] [reason]
- Word choice: [✓/⚠/✗] [reason]
- Truncation fit: [✓/⚠/✗] [reason] — platform: [SERP/GitHub/Twitter/OG]
- One idea: [✓/⚠/✗] [reason]

**Rewrite:** [only if any check failed — a concrete replacement string, not a suggestion]

Keep the audit tight — metadata feedback should be actionable in seconds, and you're almost always running it across a batch of strings at once. If a string is already clean, don't pad the output; just mark all ✓ and move on.

Frequently asked questions

What does the Metadata Check AI skill do?

Reviews short high-value strings — page titles, meta descriptions, schema description fields, FAQ answers, GitHub repo taglines, profile bios, social-card copy, and other metadata where Flesch and paragraph-level readability checks don't apply. Checks front-loading, concreteness, filler, active voice, title/description duplication, difficult words, SERP-truncation fit, and one-idea-per-field. Use when the user asks to review metadata, a tagline, a bio, or SEO strings, or proactively after generating any short string with audience-facing impact. Chained into by astro-seo, wp-readme-optimizer...

Why use Metadata Check on TypingMind?

Because you install it once and use it with any model. Metadata Check 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 Metadata Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jdevalk/skills/tree/main/metadata-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Metadata Check?

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 Metadata Check?

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

Is the Metadata Check AI skill free?

Yes. It is published on GitHub by jdevalk 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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