This system utilizes AI (Sentinel-Engine) to process requests.
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Regulatory Ruleset: Updated 18 March 2026

OpenLoaf/OpenLoaf

TypeScript 27 Stars High Integrity — AA
97/100
Audit Score

Technical Summary

Scan Ref: 0x003c
AI-assisted regulatory mapping by Sentinel Engine (EU AI Act Art. 52 Transparency Active)

Primary Finding

"Missing critical artifact: Dataset Provenance / Training References"

Regulatory Relevance

Article 10

Detected Signals

  • Model Card / Technical Usage Disclosure
  • Risk Assessment / Mitigation Strategy
  • Governance Framework / Policy
  • Privacy Policy / Data Handling
  • LICENSE
  • CI/CD compliance pipeline detected
  • AI Stack: openai, anthropic

Missing Signals

  • Dataset Provenance / Training References
Disclaimer: Automated technical assessment only. Not a legal determination.
View Source Code

Technical Summary

"Technical evidence for Model Card / Technical Usage Disclosure and Risk Assessment / Mitigation Strategy detected. However, critical gaps remain for Dataset Provenance / Training References."

Evidence Manifest 1 Items

EUAI-DATA-001

Methodology

This assessment was performed via Sentinel Discovery Engine (v1.0), executing static analysis on public repository branches.

  • ● Deterministic manifest checking
  • ● Dependency cluster analysis
  • ● Documentation entropy calculation

"The presence of technical artifacts indicates a baseline of transparency, but does not guarantee total compliance with internal governance policies."

Sentinel Compliance Heuristics

Public Intelligence Layer // Index v1.02

Last Verified: 2026-03-17T11:31:47.000Z