Record and inspect source history, trust scores, and handling labels on AI-generated or modified files. Use AKF metadata, information attached to files, to support review, handoff, and advisory audit checks without treating labels as proof of compliance.
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Every photo has EXIF. Every song has ID3. AKF is the native metadata format for AI-generated content.
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.
Use a reviewed, project-pinned installation; inspect the installed CLI help before using version-dependent flags. Stamping modifies files: confirm the target scope, preserve originals and verify metadata plus content integrity afterward. Trust scores and labels are declarations, not independent proof of accuracy or legal compliance. Never stamp “tests pass” unless the actual named checks passed for the exact artifact. Keep confidential data out of metadata that may travel with shared files.
akf stamp <file> --agent <agent-name> --evidence "<what you did>"
Evidence examples:
akf read <file> # Check existing trust metadata
akf inspect <file> # See detailed trust scores
The following upstream-style command examples inspect metadata fields. Their output cannot certify regulatory compliance; verify applicability and requirements separately.
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
--label confidential for finance/secret/internal paths--label public for README, docs, examplesinternalpip install akf
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