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Agent Skill · 研究检索

reson8-activator(共振 8 激活剂)

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。

reson8-activator 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 15,296。

总安装 7,956周安装 325GitHub Stars 公开资料未说明下载 2,574核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install reson8-activator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

reson8-activator 怎么安装?

在终端执行 openclaw skills install reson8-activator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

reson8-activator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

reson8-activator 需要什么权限?

权限级别是调用外部服务。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。

reson8-activator 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

reson8-activator 用的人多吗?

公开数据是累计安装 7,956 次,近一周安装 325 次,下载 2,574 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

reson8-activator 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
reson8-activator

共振 8 激活剂 · 本页

7,956—调用外部服务MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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

调用外部服务

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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