datamonsterr/akf-trust-metadata
.agents/skills/akf-trust-metadata/SKILL.md
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.
development
Updated Apr 15, 2026
$ install --global
skillsauthnpx skillsauth add datamonsterr/mycoai_projects akf-trust-metadataInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 4, 2026, 11:15 PM27.5s1 file scanned
SKILL.md
- 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
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
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
Compliance auditing
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
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