Ghostwright
A store-app forensics workspace separating inventory evidence, script fingerprints, performance observations, orphan candidates, code patches, tests, owner approval, deployment, rollback and billing review.
Online stores can retain scripts and theme fragments after applications are removed. The supplied research confirms two live detection-only scanners and reports no reviewed competitor generating syntax-aware removal patches. It also confirms a free performance-measurement interface, while no catalogued store integration capability was verified. The credible wedge is a cited, tested patch proposal—not exact causal timing attribution, automatic removal or a phantom-billing accusation.
Ghostwright would preserve merchant, store, environment, theme, theme version, theme backup, application inventory source, installed-app assertion, uninstalled-app assertion, billing-record assertion, script URL, script hash, network initiator, page template, performance run, run environment, timing observation, variance, fingerprint, fingerprint version, ownership candidate, confidence, theme file, syntax-tree version, snippet, reference, dependency, orphan candidate, removal rationale, generated patch, patch version, code diff, static test, render test, interaction test, performance comparison, reviewer finding, merchant approval, change request, deployment, destination readback, rollback, incident, billing-review question, vendor confirmation, correction and deletion as distinct records.
An app inventory can be incomplete, and a script fingerprint can be shared, renamed or intentionally retained. Timing differences do not prove that one script caused a business outcome. Unreferenced code can still support alternate templates, custom integrations or future configuration. A billing line does not prove an unauthorized charge. Ghostwright must never delete or deploy automatically, cancel vendors, accuse applications, expose theme source, claim exact recovered milliseconds from noisy tests or describe a generated patch as safe before review, staging tests and rollback readiness.
The pilot should use cloned themes, synthetic app remnants and a non-production store. The likely buyer is an ecommerce engineering, operations, performance or agency lead responsible for a complex store theme. Platform access, theme-version support, fingerprint quality, performance-test stability, custom-code ownership, review capacity, deployment workflow, vendor-billing evidence, budget and competition from detection scanners remain unverified.
An ecommerce engineering, operations, performance or agency lead responsible for maintaining a complex online-store theme and app stack.
Store engineering and agency operators have a concrete theme-maintenance pain.
A fingerprint and syntax-aware analysis engine can support many stores, with review remaining per-store.
Detection products recently validate demand, while safe automated removal remains the hard barrier.
The input identifies a strong ecommerce buyer, confirms two live detection products and a clear removal-patch gap supported by theme parsing and performance evidence.
Store interface access is unverified, code ownership and orphan status are uncertain, performance attribution is noisy and detection competitors or agencies can add patches.
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