← Back to Skills Marketplace
regenerative_intelligence
by
OtherPowers
· GitHub ↗
· v1.0.0
2037
Downloads
1
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install regenerative-intelligence
Description
Implements energy-efficient, harm-reducing memory and pattern governance that preserves ecological variance and excludes identity tracking or profiling.
Usage Guidance
This package is a specification and design document set (no code, no installs, no secrets) and appears coherent and non-extractive. It poses low immediate technical risk as-is. Before you install or enable any implementation derived from these docs, verify the actual runtime code: ensure there are no hidden downloads, that the Trust Vault is truly ephemeral and execution-only, and that embedding/storage code enforces non-identifiability and decay rules described here. If you plan to let an agent invoke this skill autonomously, confirm how the platform enforces the invariants and that implementations cannot write shadow logs, exfiltrate data, or access unrelated credentials. If you need higher assurance, ask the provider for the implementation code or for a security review demonstrating the invariants are enforced in practice.
Capability Analysis
Type: OpenClaw Skill
Name: regenerative-intelligence
Version: 1.0.0
The OpenClaw AgentSkills skill bundle 'regenerative-intelligence' is benign. The entire skill, across all documentation files (skill.md, architecture.md, invariants.md, metadata-schema.md, non-goals.md, resilience-arp.md, threat-model.md), consistently and explicitly defines an architecture designed for extreme privacy, non-identifiability, non-extraction, and energy efficiency. It contains no executable code, only instructions and specifications for an AI agent. These instructions are overwhelmingly focused on preventing harmful behaviors such as data exfiltration, surveillance, identity tracking, or unauthorized execution, and include architectural safeguards like a 'Trust Vault' for identity separation, 'Multidimensional Decomposition' for input filtering, and 'Semantic Ghosting' to prevent triangulation. The skill actively instructs the agent to refuse or degrade functionality if pushed towards malicious or extractive actions, demonstrating a strong 'privacy-by-design' posture.
Capability Assessment
Purpose & Capability
The files and SKILL.md describe a non-extractive memory/recall architecture; the skill requests no binaries, env vars, or installs — exactly what you'd expect for a design/instruction-only skill. Nothing in the bundle asks for unrelated system access.
Instruction Scope
SKILL.md and companion docs are high-level design and operational constraints (e.g., Trust Vault, stasis gate, ghosting). They do not instruct the agent to read files, environment variables, or external endpoints. However, the guidance is conceptual rather than actionable code: an actual implementation could deviate from these invariants, so verify runtime code before trusting enforcement of the described protections.
Install Mechanism
There is no install spec and no code files to execute. This minimizes installation risk — nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The described Trust Vault concept references execution-only identity handling but does not request credentials in this bundle; that is appropriate for a specification-only package.
Persistence & Privilege
always is false and the skill is user-invocable (normal defaults). The docs describe long-term memory and a 'Trust Vault' concept; because this package contains only spec documents, there is no actual persistent agent-side behavior here. If a later implementation grants persistent access or autonomy, confirm it adheres to the invariants described.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install regenerative-intelligence - After installation, invoke the skill by name or use
/regenerative-intelligence - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
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.
Metadata
Frequently Asked Questions
What is regenerative_intelligence?
Implements energy-efficient, harm-reducing memory and pattern governance that preserves ecological variance and excludes identity tracking or profiling. It is an AI Agent Skill for Claude Code / OpenClaw, with 2037 downloads so far.
How do I install regenerative_intelligence?
Run "/install regenerative-intelligence" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is regenerative_intelligence free?
Yes, regenerative_intelligence is completely free (open-source). You can download, install and use it at no cost.
Which platforms does regenerative_intelligence support?
regenerative_intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created regenerative_intelligence?
It is built and maintained by OtherPowers (@otherpowers); the current version is v1.0.0.
More Skills