metadata-check
Skill1 starsChanged 2 months agoMITView on GitHub
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.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- jdevalk/skillsedited, first seen Apr 16, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- jdevalk/skills★ 10099% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- static-seo/AGENTS.mdAGENTS.md
- animate-expoSkill
- animateSkill
- animation-vocabularySkill
- apple-designSkill
- ask-sonnerSkill
- emil-design-engSkill
- find-animation-opportunitiesSkill
- improve-animationsSkill
- pick-ui-librarySkill
- prototypeSkill
- review-animationsSkill
- write-swiftSkill
- readability-checkSkill
- static-seoSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 21
Use this skill for anything in the metadata-string shape.
- Distinctive: line 29
Filler and hedging — aggressive: Every word costs shelf space.
- Distinctive: line 32
Difficult words: Prefer the common synonym unless the domain term is what the user searches for.
- Distinctive: line 43
Don't run this skill on:
- Distinctive: line 70
Keep the audit tight — metadata feedback should be actionable in seconds, and you're almost always running it across a batch of strings at …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 nine-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
@idvalues, 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:
### [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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

