akf-trust-metadata
Adds important information to files, like trust scores and origin. It's useful for ensuring the security and compliance of your documents. It helps track data provenance.
What it does
This program adds important information to files created or modified by artificial intelligence. It acts like a seal of authenticity, recording who created the file, how it was made, and if it follows certain rules, like those from the European Union.
When to use it
- ✓When creating a document or image with AI and needing to prove its origin.
- ✓When reviewing AI-generated code and wanting to record that it was verified.
- ✓When preparing files for compliance audits (like AI or health regulations).
Example of what to ask your AI
“I want to add a seal of authenticity to this PDF document generated by AI, indicating it was reviewed by me.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You use a simple command on your computer to 'stamp' the file with information. Another command allows you to 'read' or 'inspect' this information to verify its origin and trustworthiness.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill akf-trust-metadataOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/akf-trust-metadata/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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.
Scope and Evidence
Use a reviewed, project-pinned installation; inspect the installed CLI help before using version-dependent flags. Stamping modifies files: confirm the target scope, preserve originals and verify metadata plus content integrity afterward. Trust scores and labels are declarations, not independent proof of accuracy or legal compliance. Never stamp “tests pass” unless the actual named checks passed for the exact artifact. Keep confidential data out of metadata that may travel with shared files.
After creating or modifying files
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
akf read <file> # Check existing trust metadata
akf inspect <file> # See detailed trust scores
Advisory Metadata Checks
The following upstream-style command examples inspect metadata fields. Their output cannot certify regulatory compliance; verify applicability and requirements separately.
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 confidentialfor finance/secret/internal paths--label publicfor 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.
FAQ
What are 'trust scores' and 'provenance'?
'Trust scores' are ratings indicating how reliable the content is, and 'provenance' is the detailed record of its origin and history.
Can I use this to guarantee my file is 100% accurate or legal?
No. The added information are declarations about the origin and process, not an independent guarantee of accuracy or legal compliance.
What does 'AI Native File Format' mean?
It means it's a metadata format (extra information) created specifically for content generated or modified by artificial intelligence.
Details
Original description by the author
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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2114
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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