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regenerative_intelligence

作者 OtherPowers · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
2037
总下载
1
收藏
3
当前安装
1
版本数
在 OpenClaw 中安装
/install regenerative-intelligence
功能描述
Implements energy-efficient, harm-reducing memory and pattern governance that preserves ecological variance and excludes identity tracking or profiling.
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install regenerative-intelligence
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /regenerative-intelligence 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug regenerative-intelligence
版本 1.0.0
许可证
累计安装 3
当前安装数 3
历史版本数 1
常见问题

regenerative_intelligence 是什么?

Implements energy-efficient, harm-reducing memory and pattern governance that preserves ecological variance and excludes identity tracking or profiling. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2037 次。

如何安装 regenerative_intelligence?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install regenerative-intelligence」即可一键安装,无需额外配置。

regenerative_intelligence 是免费的吗?

是的,regenerative_intelligence 完全免费(开源免费),可自由下载、安装和使用。

regenerative_intelligence 支持哪些平台?

regenerative_intelligence 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 regenerative_intelligence?

由 OtherPowers(@otherpowers)开发并维护,当前版本 v1.0.0。

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