regenerative_intelligence
SuspiciousCK: Mediumby OtherPowers
Description
Implements energy-efficient, harm-reducing memory and pattern governance that preserves ecological variance and excludes identity tracking or profiling.
Changelog
Initial release of the Regenerative Intelligence Skill: An energy-efficient, harm-reducing memory and pattern-governance substrate for agentic systems. - Introduces non-identifiable, context-aware memory that minimizes profiling, extraction, and identity storage. - Implements foundational principles prioritizing ecological, social, and informational generativity over extractive optimization. - Adds database-first memory with hybrid retrieval (exact match and semantic) for fast, low-energy recall. - Enforces non-negotiable design invariants: trust vault separation for identity, harm awareness without encoding people, and auditability without surveillance. - Establishes granular metadata and decay policies to preserve privacy, sovereignty, and system resilience.
Security Analysis
Multiple risk signals — review findings before installing. Score is the sum of weighted findings below.
Findings
14 files analyzed14 files (typical skill has 1-3)
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ClawHub scanned: May 10, 2026
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