Curated resources for the EU Cyber Resilience Act (Regulation 2024/2847): regulation, harmonised standards, EUCC, SBOM, vulnerability management, conformity assessment

A single-file Python CLI that pre-registers AI/ML accuracy claims with SHA-256. Lock the threshold before the data, or it didn't happen.

A framework for Benford's Law conformity assessment.

A package and command-line utility to audit code quality and compliance to the best practices.

Multi-platform agent skills (Claude Code + Gemini CLI + OpenAI Codex) for EU AI Act compliance, anchored on ISO/IEC 42001 (AIMS) and ISO/IEC 27090 (AI cybersecurity). Citation-grade. Decision-support, not legal advice.

Detect and analyze code plagiarism and similarities across languages using AI-powered forensic logic comparison and detailed PDF reporting.

MLflow plugin: automatic PRML manifest hash tagging for runs. Pre-Registered ML Manifest evidence layer.

Field manual for the PRML v0.1 specification. 13 patterns, 4 anti-patterns, 4 working examples. CC0.

PRML pre-registration adapter for Inspect AI eval logs. MIT.

Verify PRML (Pre-Registered ML Manifest) commitments in CI. Block merges on tampered or regressed eval claims.

JavaScript reference implementation of the PRML (Pre-Registered ML Manifest) v0.1 specification. Byte-equivalent to the Python reference across 20 conformance vectors. Zero runtime dependencies.