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---
name: akf-trust-metadata
description: "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."
risk: safe
source: community
date_added: "2026-03-27"
author: HMAKT99
tags:
- trust
- metadata
- provenance
- compliance
- file-format
- ai-native
---
# 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`
## 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.
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