akf-trust-metadata

# AKF — The AI Native File Format Every photo has EXIF. Every song has ID3. AKF is the native metadata format for AI-generated content. ## When to Use Use this skill when you need to stamp, inspect, or audit provenance and trust metadata on AI-generated or AI-modified files for compliance, review, or handoff workflows. ## After creating or modifying files ```bash akf stamp <file> --agent <agent-name> --evidence "<what you did>" ``` Evidence examples: - "generated from user prompt" - "refactored existing code" - "tests pass" - "docs reviewed" ## Before modifying existing files ```bash akf read <file> # Check existing trust metadata akf inspect <file> # See detailed trust scores ``` ## Compliance auditing ```bash akf audit <file> --regulation eu_ai_act # EU AI Act Article 50 akf audit <file> --regulation hipaa # HIPAA akf audit <file> --regulation sox # SOX akf audit <file> --regulation nist_ai # NIST AI RMF ``` ## Classification - `--label confidential` for finance/secret/internal paths - `--label public` for README, docs, examples - Default: `internal` ## Install ```bash pip install akf ``` ## Links - https://akf.dev - https://github.com/HMAKT99/AKF - npm: `npm install akf-format` ## Diff History - **v00.33.0**: Ingested from antigravity-awesome-skills community repo --- ## Why This Skill Exists Implement — <!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. --> ## What If Fails - condition: Código não disponível para análise <!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->