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

akf stamp  --agent  --evidence ""

Evidence examples:

• "generated from user prompt"
• "refactored existing code"
• "tests pass"
• "docs reviewed"

Before modifying existing files

akf read           # Check existing trust metadata
akf inspect        # See detailed trust scores

Compliance auditing

akf audit  --regulation eu_ai_act    # EU AI Act Article 50
akf audit  --regulation hipaa         # HIPAA
akf audit  --regulation sox           # SOX
akf audit  --regulation nist_ai       # NIST AI RMF

Classification

• --label confidential for finance/secret/internal paths
• --label public for README, docs, examples
• Default: internal

Install

pip install akf

Links

• https://akf.dev
• https://github.com/HMAKT99/AKF
• npm: npm install akf-format

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: tmolavi
• Source: tmolavi/mcp-agent-skills-hub
• License: MIT
• Homepage: https://molavi.pro

Install and usage instructions live in the source repository linked above.