Record and inspect source history, trust scores, and handling labels on AI-generated or modified files. Use AKF metadata, information attached to files, to support review, handoff, and advisory audit checks without treating labels as proof of compliance.
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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.
安装前可以查看交给 AI 代理的指令内容。
Every photo has EXIF. Every song has ID3. AKF is the native metadata format for AI-generated content.
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.
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.
akf stamp <file> --agent <agent-name> --evidence "<what you did>"
Evidence examples:
akf read <file> # Check existing trust metadata
akf inspect <file> # See detailed trust scores
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
--label confidential for finance/secret/internal paths--label public for README, docs, examplesinternalpip install akf
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Assess a new or existing AI project by examining its code, goals, and constraints. Recommend skills confirmed to exist in the available registry, then outline tasks and implementation phases with dependencies, completion criteria, and checks.
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Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.
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Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.
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Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.
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Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.
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Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.
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