Track AI-generated code at line-level granularity. Know which lines were written by AI, modified by humans, and what prompts generated them. Git-native storage, automatic redaction, and Claude Code integration.

Remove Claude/AI attribution from a GitHub repo in one command clean commit history, force-push, and refresh the Contributors graph so @claude disappears.

AIAS — İçerik üretiminde yapay zekanın nasıl ve ne ölçüde kullanıldığını belirten açık atıf beyanı standardı.

Royalty OS v0.2 — Event-Based Trace-to-Value Circulation Architecture

Laravel package that classifies R&D activity across one or more git repositories with a deterministic LLM-based classifier and emits an audit-grade PDF + JSON dossier suitable for the Italian Patent Box (110% R&D super-deduction) regime. Standalone — works on any Laravel project, zero AskMyDocs coupling.

Kazene Trace Receipt Protocol is a minimal standard for recording structured receipts of AI-assisted creation, transformation, routing, and derivative events without storing raw content by default.

A non-monetary value trace protocol for recording question-based intellectual contribution in AI-mediated knowledge systems.

Provider-neutral attribution, source-footer, and royalty settlement system for AI outputs.

Prove your AI collaboration. Privately. Local-first analytics that turn explicit AI provenance in your git history into privacy-safe GitHub profile cards.

Description: An open evidence protocol for recording structural fingerprints, trace records, and provenance signals for AI-era creative works.

GAAIM — Generally Accepted AI Metrics. A canonical, signed, vendor-neutral event format for AI-augmented knowledge work.

FAIA – FAIR AI Attribution ontology and vocabulary

GTM variable template for classifying identifiable AI referral and UTM traffic signals.

A memorable standard for Human-AI attribution

Machine-readable Trace Layer for Royalty OS v3.0: AI usage evidence, provenance signals, attribution readiness, and allocation-trigger schemas.