AI Bot UA Classifier
Real-time bot classification engine for AI crawler traffic.
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Browse the full catalog → Browse ready-made kits → Build your own set →Google Rich Results Test API entegrasyonu ile CI/CD deploy gate kurulumu.
A build-time gate that validates your Schema.org structured data against Google's Rich Results Test API inside your CI/CD pipeline, before invalid schema ever reaches production. Broken markup that would silently kill your rich snippets (review stars, FAQ accordions, product cards) becomes a failed build with a clear fix, not a ranking loss you discover weeks later. It is the live-validation layer of a defense-in-depth schema chain.
Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
Inside the run · no black box
The skill wires Google's Rich Results Test API into CI as a deploy gate, the third layer of a schema defense in depth: invalid schema fails the build before it ever reaches production, instead of being discovered in Search Console weeks later.
rich-results-validation-ci · core
core active · 6 lines
Gating production deploys so schema-invalid pages cannot ship
Validating new schema types (Product, Article, FAQ, LocalBusiness, Recipe, HowTo)
Batch-validating thousands of pages on large pSEO builds within API quota
Catching rich-result blockers like missing offers or missing itemReviewed
Auto-commenting on pull requests with the exact file, issue, and fix snippet
Re-testing retroactively when a CMS edit or merge breaks previously valid schema
Drag time forward. Watch what stays.
Forever
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Catches schema regressions at PR time, when fixes are far cheaper than in production
license: perpetualProtects rich-snippet eligibility and the click-through it drives
license: perpetualKeeps developers unblocked with severity tiers: critical fails, minor only warns
license: perpetualStays within free API quota through idempotent content-hash caching
license: perpetualsubscriptions expire · deeds don't
Pick a piece up. Watch it work.
Async Python validator with concurrency, retry, and exponential backoff
6 parts · one working system · ships instantly by email
From the field · a real case
SEO-focused engineering teams running schema-rich sites who want invalid structured data blocked at build time, not discovered in lost rankings.
then this was forged for you.Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
A ready workflow with path filters and concurrency control ships for GitHub Actions, including SARIF output for the Security tab. The validator itself is an async Python script, so GitLab, Jenkins, or any other runner invokes it the same way, only the workflow wrapper is GitHub-specific.
Same Google API, but automated at PR time with four severity tiers: critical fails the build, minor only warns, and the PR gets a comment naming the exact file, issue, and fix snippet. Content-hash caching keeps repeat runs inside the free API quota, something manual testing never tracks.
No. It blocks invalid markup and tells you the remediation, but displaying rich results remains Google's decision. Valid schema earns eligibility, not a guarantee, and writing the schema itself is upstream of this gate.
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As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.