---
name: akf-trust-metadata-8ed26e4794e4
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.


---
Source attribution: HMAKT99
Original project: https://github.com/Sansar35/claude-agent/blob/d046d088ce5a79a083f0abc0fe1b7ded73bc5b1f/claude-config/skills/antigravity/akf-trust-metadata/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Claude Agent Team contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: HMAKT99
Original project: https://github.com/Sansar35/claude-agent/blob/d046d088ce5a79a083f0abc0fe1b7ded73bc5b1f/claude-config/skills/antigravity/akf-trust-metadata/SKILL.md
Attribution basis: Source repository record

Fields of work: Legal, Data & Analytics, Product Management, Content & Media
Roles: Compliance Officer, Data Scientist, Data Analyst, Product Manager, Technical Writer
Specialties: API
Tools: Akf
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: cd5aaad3b1fa34297dfc05d3c76cbfe7c1aa3a45ed5ce1c1326434c2d4a4b68f
