What problem does this solve in your TCC permission workflow?
Raw TCC rows show what permissions exist, but they do not help users interpret whether an app’s permission set looks expected, unusual, or risky. That makes audits harder, especially for less technical users.
What behaviour do you want?
For each app entry, show a suggestion panel with context such as:
- likely/default permissions for that type of app
- why an app might reasonably ask for specific permissions
- obvious red flags, if any
- a suggested baseline or review recommendation
This could appear inline, in a side panel, or in an expanded row.
Why does this fit a local macOS TCC editor instead of a system tool or third-party service?
Interpreting TCC rows is part of the local review workflow. Adding guidance directly beside each row would make Clearance more useful as an audit tool, as long as the analysis stays grounded in local data.
Scope check
This only fits current scope if implemented without network dependency, using local heuristics, app metadata, and the loaded database.
If this requires cloud AI, remote inference, or telemetry, it would conflict with the current project scope and should be discussed separately first.
Additional context
Examples of useful red flags:
- an app category that appears inconsistent with requested permissions
- unusually broad access across multiple sensitive services
- a path-based client or unknown app identity that cannot be resolved cleanly
What problem does this solve in your TCC permission workflow?
Raw TCC rows show what permissions exist, but they do not help users interpret whether an app’s permission set looks expected, unusual, or risky. That makes audits harder, especially for less technical users.
What behaviour do you want?
For each app entry, show a suggestion panel with context such as:
This could appear inline, in a side panel, or in an expanded row.
Why does this fit a local macOS TCC editor instead of a system tool or third-party service?
Interpreting TCC rows is part of the local review workflow. Adding guidance directly beside each row would make Clearance more useful as an audit tool, as long as the analysis stays grounded in local data.
Scope check
This only fits current scope if implemented without network dependency, using local heuristics, app metadata, and the loaded database.
If this requires cloud AI, remote inference, or telemetry, it would conflict with the current project scope and should be discussed separately first.
Additional context
Examples of useful red flags: