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Prompts AI File Metadata Compliance Auditor

agent security skill risk: medium

AI File Metadata Compliance Auditor

Instructs the model to use AKF commands to stamp, inspect, and audit provenance, trust scores, and compliance metadata on AI-generated or modified files for regulations such as EU…

  • Policy sensitive
  • Human review
  • External action: low

SKILL 1 file

SKILL.md
---
name: antigravity-awesome-skills-akf-trust-metadata-53611f8f
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."
---
# 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.

REQUIRED CONTEXT

  • file path
  • agent name
  • evidence description
  • regulation name

OPTIONAL CONTEXT

  • label (confidential/public/internal)

ROLES & RULES

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

EXPECTED OUTPUT

Format
unknown
Constraints
  • use only when task matches described scope
  • stop and ask for clarification if inputs or boundaries missing

EXAMPLES

Includes bash command examples for akf stamp/read/inspect/audit plus evidence examples.

QUALITY

OVERALL
0.72
CLARITY
0.85
SPECIFICITY
0.75
REUSABILITY
0.65
COMPLETENESS
0.70

IMPROVEMENT SUGGESTIONS

  • Add explicit placeholders for <agent-name> and <what you did> to improve reusability as a template.
  • Specify expected output formats or examples for akf read/inspect/audit commands.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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