What problem does it solve? Privacy audits produce inconsistent findings when each reviewer applies different severity scales, evidence standards, and redaction rules. This Skill provides shared rules so every audit finding uses the same evidence levels, severity definitions, and machine-readable schema. ## Core Features & Use Cases - Shared Evidence Standards: Defines high, medium, and low evidence levels based on audit-grade artifacts like file paths, HAR entries, storage snapshots, and reproduction steps. - Consistent Severity Model: Classifies findings from critical to informational based on impact and exposure rather than pattern counts. - Finding Schema: Ships a JSON Schema (templates/finding.schema.json) for machine-readable findings with stable IDs, affected claims, evidence entries, and retest steps. - Use Case: A team auditing a zero-knowledge encryption product uses this Skill to ensure network, storage, and cryptography audit findings all follow the same severity scale and redaction rules before being merged into one report. ## Quick Start Ask the agent to normalize your privacy audit findings using the shared evidence levels, severity definitions, and finding schema from the audit-common support rules.
