ucsandman/DashClaw
JavaScript 204 Stars
High Integrity — AA
97/100
Audit Score
Technical Summary
Scan Ref: 0x0012
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
- Technical Audit Artifact
- AI Stack: openai, langchain, 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: 2026-03-17T05:47:11.000Z