What It Does
Create a clear receipt showing which categories of personal context an answer used. It flags sensitive facts marked undisclosed, helping teams review transparency before relying on an answer. This is an offline, read-only assessment of an operator-supplied redacted JSON record; it does not independently verify source claims.
Use Cases
- Support teams documenting context used in AI replies.
- Privacy reviewers spotting undisclosed sensitive categories.
- Product teams improving user-facing disclosure statements.
Requirements
- Python 3 standard library; no third-party dependencies or API keys.
- OpenClaw: no specific version declared; run locally from the skill directory with Python 3.
- One explicitly selected regular redacted JSON input file (128 KiB maximum). Use opaque references, not raw personal data, URLs, document text or production paths.
Price
$4.99 one-time purchase. Buy now — $4.99