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App Privacy Manifest Consistency Gate

Reconcile SDK, required-reason API, data-use, privacy-manifest, and questionnaire evidence before an App Store release.

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Format: Agent skill, not a browser app. You need an AI agent that can load its instructions and use the required tools.

Package requirements: Documented normalized JSON and CSV input schemas. Python 3 on Windows, macOS, or Linux. Local files only; no account integration is required.

You get: Cross-file privacy findings CSV JSON owner-submission gate with trust boundary

Licence and purchase details

Review the package licence at the destination.

Review the offer and access method at your chosen marketplace. Agensi provides connected-agent access, not a download. Buying a skill does not include an AI-agent subscription or setup service.

Agensi access: This product’s bundled-script workflow through Agensi has not been verified here. Tests of other products do not establish this package’s compatibility. Local setup examples apply to separately obtained downloadable packages.

See tested hosts, versions and workflow limits.

What problem does App Privacy Manifest Consistency Gate solve?

An app can ship a PrivacyInfo manifest that looks complete while its SDK inventory, required-reason API evidence, collected-data declarations, and App Store questionnaire disagree.

Use it to

What it returns

A representative input and result

fixture-backed sample
input An ads SDK has no shipped manifest, requires disk-space APIs, collects device identifiers, and the saved questionnaire says tracking while the app manifest says no tracking.
result Gate: BLOCK. Missing SDK manifest, undeclared API category, unapproved reason, data-type mismatch, tracking conflict, and unresolved identity-linkage review.

Access and approval boundaries

Known limitations

// choose with context

Is App Privacy Manifest Consistency Gate the right skill?

Best fit

An app can ship a PrivacyInfo manifest that looks complete while its SDK inventory, required-reason API evidence, collected-data declarations, and App Store questionnaire disagree.

It returns

Cross-file privacy findings CSV. JSON owner-submission gate with trust boundary.

Do not use it as

The tool uses normalized evidence and does not scan compiled binaries or arbitrary source trees.

Compatibility, access, version, and licence

Reads or accesses
Declared local scope: manifest.json, sdks.csv, api-usage.csv, questionnaire.json.
Compatibility
Documented normalized JSON and CSV input schemas. Python 3 on Windows, macOS, or Linux. Local files only; no account integration is required.
Version
1.0.0
Licence
Review the package licence and seller terms at the linked destination.

What happens next

Open the Agensi listing, check the current offer and connect a supported agent. Agensi loads the skill through its connector; it no longer provides a download. Approve any purchase before use. Check Agensi’s current connection guide before changing an existing connection.

Questions

Does it submit to App Store Connect?

No. It creates a local owner-review gate.

Does it scan an IPA?

No. Version 1 uses normalized release evidence.

Does it choose approved reasons?

No. It checks against the supplied policy and never invents a reason.

Does it answer linked-to-identity questions?

No. It requires a recorded owner review.

Will a ready result guarantee approval?

No. Apple may apply other or updated requirements.

What makes it different from a broad rejection scanner?

It focuses on cross-file privacy claim consistency and explicit trust boundaries.

App Privacy Manifest Consistency Gate keeps proof and approval boundaries visible.

The listing includes the tested package, realistic samples, declared permissions, and known limitations.

Get App Privacy Manifest Consistency Gate on Agensi