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reson8-activator共振 8 激活剂

Agent Skill

reson8-activator 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

7,956

周安装

325

GitHub Stars

公开资料未说明

下载量

2,574
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:reson8-activator(共振 8 激活剂)
来源仓库:https://github.com/toolate28/reson8-activator
安装命令:
openclaw skills install reson8-activator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install reson8-activator

简介

reson8-activator 是一个元技能,用于激活功能模块或响应用户关于“你能做什么”的查询。

  • 适用于 OpenClaw 环境,可在用户询问能力边界时动态调用相关技能。
  • 通过上下文识别触发词,自动匹配并启用合适的子技能完成任务。
  • 安装前应检查权限配置,避免误触发敏感操作或外部调用。
  • 建议结合其他技能使用,并参考原始 README 了解触发逻辑与限制。

SKILL.md

name
reson8-activate
description
>
version
1.0.0

Reson8 Activator — The Tapestry of Skills

This skill is the orchestration brain. It knows every tool, skill, MCP server, API, marketplace, and external repo in the Reson8-Labs ecosystem. Its job is to take an intent and activate the right combination of capabilities to fulfill it.

Core Capabilities

  1. Inventory — enumerate every activatable capability, filtered by domain or type
  2. Route — given a natural language intent, select the optimal skill chain
  3. Compose — wire skills together in sequence, with WAVE scoring at each transition
  4. Teach — help other agents (Grok, Gemini, external) understand what's available
  5. Extend — use skill-creator + create-cowork-plugin to build new capabilities on demand

How Activation Works

When the user expresses an intent:

  1. Parse the intent into capability requirements (what domains? what output format? what integrations?)
  2. Search the activation map (references/activation-map.md) for matching capabilities
  3. Check if the intent maps to a known composition pattern (references/composition-patterns.md)
  4. If a pattern exists, propose it. If not, construct a novel chain from available primitives.
  5. Present the proposed chain to the user for confirmation
  6. Execute each step, applying WAVE coherence scoring at transitions
  7. Log the entire execution as an ATOM trail entry

The Activation Surface

Read references/activation-map.md for the complete inventory. Summary of what's available:

MCP Tools (54 total):

  • coherence-mcp: 49 tools across 10 categories (WAVE, ATOM, Fibonacci, Vortex, Minecraft, Session, Bohmian, Content, SpiralSafe, Utility)
  • Reson8-Labs MCP Server: 5 core tools (analyze_wave, track_atom, validate_gate, chaos_score, generate_atom_tag)

Connected MCP Servers (13+): ChEMBL, bioRxiv/medRxiv, Open Targets, ClinicalTrials.gov, Cloudflare, Crypto Exchange, Mermaid Diagrams, Vercel, Google Drive, Google Calendar, Claude in Chrome, MCP Registry, Domain/Hosting

Skills (71 total): 11 core + 60 plugin across 10 domains: bio-research, data, enterprise-search, finance, legal, marketing, product-management, productivity, sales, cowork-plugin-management

External Tool Repos (7): GitMCP, LightRAG, AutoFigure, MoLing-Minecraft, AI-Researcher, Claude Scientific Writer, Agent Squad

Marketplace Surfaces (12): Anthropic/Claude, Google/Gemini, xAI/Grok, OpenAI/ChatGPT, npm, PyPI, Cargo, Obsidian, Minecraft, rentahuman.io, ClawhubAI, GitMCP

Routing Logic

When matching intent to capabilities, prioritize:

  1. Exact match — intent directly names a skill or tool (e.g., "run WAVE check" → wave_coherence_check)
  2. Domain match — intent falls within a known domain (e.g., "draft a contract" → legal:contract-review)
  3. Composition match — intent requires multiple steps that map to a known pattern (e.g., "research and publish" → Research→Publish pipeline)
  4. Capability match — intent describes a capability type (e.g., "make a chart" → data:data-visualization)
  5. Discovery — if no match, search MCP registry for new connectors, or suggest building a new skill

WAVE Scoring at Transitions

Every skill chain transition gets WAVE scored. The coherence check ensures that output from step N is coherent input for step N+1. If coherence drops below 0.85 at any transition:

  • Pause the chain
  • Report the coherence gap to the user
  • Suggest: retry with modified parameters, skip the step, or abort

This is the conservation law in action — coherence must be preserved across the full pipeline.

Teaching Other Agents

When another agent (or the user on behalf of another agent) asks what's available:

  1. Read references/activation-map.md for the full inventory
  2. Format the response for the target agent's expected input format:

- For Grok: Focus on real-time tools, X API, Rust TUI integration, hardware monitoring - For Gemini: Focus on multimodal tools, Google integrations, RAG, scientific pipelines - For Claude: Full surface — everything is native

  1. Include the INIT document reference (GROK-INIT.md, GEMINI-INIT.md, CLAUDE-INIT.md)
  2. Include the CHECKPOINT document for full state awareness

Extending the Surface

When a user needs a capability that doesn't exist:

  1. Check if a close match exists and can be adapted
  2. If not, propose building it:

- For a new skill → invoke skill-creator - For a new plugin → invoke create-cowork-plugin - For a new MCP server → invoke mcp-builder - For a new connector → search MCP registry first

  1. After building, update the activation map

Marketplace Publishing

Read references/marketplace-bridges.md for platform-specific packaging instructions. Each marketplace has its own format — the activation map stays the same, only the packaging changes.

Conservation Law

Every activation must respect: ALPHA + OMEGA = 15

This means: the sum of intention (alpha) and outcome (omega) is conserved. What goes in must equal what comes out. No information is created or destroyed — only transformed across substrates.

The WAVE score measures this conservation at each transition. The ATOM trail records the full transformation history.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.19%
按下载量换算2,347

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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