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akf-trust-metadata

AKF is a metadata embedding system that stamps AI-generated files with trust scores, source provenance, and compliance information across 20+ formats including DOCX, PDF, images, and code. Use this skill when auditing file lineage for regulatory compliance (EU AI Act, HIPAA, SOX), documenting AI modifications, or establishing chain-of-custody for sensitive AI-generated content in review and handoff workflows.

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git clone --depth 1 https://github.com/sickn33/antigravity-awesome-skills /tmp/akf-trust-metadata && cp -r /tmp/akf-trust-metadata/plugins/antigravity-awesome-skills-claude/skills/akf-trust-metadata ~/.claude/skills/akf-trust-metadata
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# 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.