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Agent Skill · 研究检索

activation(activation 搜索)

activation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

activation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 66,724。

总安装 259周安装 11GitHub Stars 24下载 91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
unknown

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:activation(activation 搜索)
来源仓库:https://github.com/noobygains/godmode
仓库路径:skills/activation
安装命令:
npx skills add https://github.com/noobygains/godmode --skill activation
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/noobygains/godmode --skill activation

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。

Activation 是强制调用的核心技能协议,用于访问 godmode 插件体系下的所有专用能力。必须通过 Skill 工具直接调用或通过 SKILL.md 文件手动读取执行,不可跳过或替代。协议路径位于插件根目录 skills/ 下,每个技能对应一个独立的 SKILL.md 定义文件。

需从 GitHub 仓库安装,使用前请确认 CLAUDE_PLUGIN_ROOT 环境变量设置正确。注意该技能为系统级入口,误用可能导致其他功能异常,建议仅在高级模式下启用。

来源仓库内路径:skills/activation

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/noobygains/godmode --skill activation;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

    它需要接触敏感数据,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

activation 怎么安装?

在终端执行 npx skills add https://github.com/noobygains/godmode --skill activation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

activation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

activation 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

activation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

activation 用的人多吗?

公开数据是累计安装 259 次,近一周安装 11 次,下载 91 次,GitHub 24 星。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。

activation 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
activation

activation 搜索 · 本页

25924接触敏感数据未明确未通过

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

YOU DO NOT HAVE THE OPTION TO SKIP A RELEVANT SKILL. IT IS MANDATORY.

This requirement is absolute. It cannot be reasoned away or deferred.

Accessing Skills

Plugin installation (standard setup): Invoke skills directly through the Skill tool. All protocols are auto-registered. Example: Skill("godmode:intent-discovery")

When the Skill tool cannot locate a protocol: Fall back to reading the file directly with the Read tool:

  1. Protocols live at: [plugin-root]/skills/
  2. Each protocol has a definition: [plugin-root]/skills/[protocol-name]/SKILL.md
  3. Read the SKILL.md and execute its instructions

Locating the plugin root:

  • Running from the repository: the working directory is the plugin root
  • Installed as a plugin: the CLAUDE_PLUGIN_ROOT environment variable contains the path

Other platforms: Consult platform-specific documentation for skill loading mechanisms.

Working With Skills

The Mandate

Invoke applicable skills BEFORE generating any response or taking any action. Even a marginal chance of relevance is sufficient reason to invoke. If an invoked skill turns out to be inapplicable, you can simply move on.

digraph protocol_flow {
    "Message arrives" [shape=doublecircle];
    "About to enter planning?" [shape=doublecircle];
    "Intent discovery done?" [shape=diamond];
    "Run intent-discovery" [shape=box];
    "Could any skill apply?" [shape=diamond];
    "Invoke Skill tool" [shape=box];
    "Skill tool errored?" [shape=diamond];
    "Read SKILL.md fallback" [shape=box];
    "Announce: 'Applying [skill] for [goal]'" [shape=box];
    "Contains checklist?" [shape=diamond];
    "Track each checklist item" [shape=box];
    "Execute skill instructions" [shape=box];
    "Generate response" [shape=doublecircle];

    "About to enter planning?" -> "Intent discovery done?";
    "Intent discovery done?" -> "Run intent-discovery" [label="no"];
    "Intent discovery done?" -> "Could any skill apply?" [label="yes"];
    "Run intent-discovery" -> "Could any skill apply?";

    "Message arrives" -> "Could any skill apply?";
    "Could any skill apply?" -> "Invoke Skill tool" [label="yes, any chance"];
    "Could any skill apply?" -> "Generate response" [label="clearly not"];
    "Invoke Skill tool" -> "Skill tool errored?";
    "Skill tool errored?" -> "Read SKILL.md fallback" [label="yes"];
    "Skill tool errored?" -> "Announce: 'Applying [skill] for [goal]'" [label="no"];
    "Read SKILL.md fallback" -> "Announce: 'Applying [skill] for [goal]'";
    "Announce: 'Applying [skill] for [goal]'" -> "Contains checklist?";
    "Contains checklist?" -> "Track each checklist item" [label="yes"];
    "Contains checklist?" -> "Execute skill instructions" [label="no"];
    "Track each checklist item" -> "Execute skill instructions";
}

Guardrails

These internal thoughts are warning signs that you are rationalizing:

ThoughtTruth
"This is a straightforward question"Questions are tasks. Look for applicable skills.
"I should gather more context first"Skill invocation precedes clarification.
"Let me scan the codebase first"Skills define HOW to scan. Invoke first.
"I can check files and history quickly"Files lack conversational context. Invoke skills.
"Let me collect some data first"Skills prescribe data collection methods.
"This doesn't warrant a formal skill"If a matching skill exists, it must be used.
"I recall what this skill says"Skills get updated. Read the current version.
"This isn't really a task"Any action is a task. Look for skills.
"The skill is too heavy for this"Seemingly simple tasks often have hidden complexity. Use it.
"I'll do this one thing first"Invoke BEFORE doing anything.
"I'm making good progress"Undirected effort creates waste. Skills prevent this.
"I understand that concept already"Understanding a concept is not the same as following a skill. Invoke it.

Skill Ordering

When several skills might be relevant, follow this sequence:

  1. Challenge skills first (rationale) - question whether the work is worth doing before committing
  2. Process skills second (intent-discovery, fault-diagnosis) - establish the approach
  3. Reference skills third (reference-engine routes to: ux-patterns, design-research, github-search, codebase-research, system-design, deployment-advisor) - locate proven solutions before designing
  4. Design skills fourth (ui-engineering, design-integration, specification-first) - apply references to guide decisions
  5. Implementation skills fifth (test-first, project-bootstrap, pattern-matching, environment-awareness) - drive execution
  6. Quality skills sixth (quality-enforcement, security-protocol, completion-gate, comprehension-check, error-recovery) - enforce standards
  7. Orchestration skills (team-orchestration, delegated-execution) - leverage parallelism

"Let's build X" -> rationale -> intent-discovery -> reference-engine (routes to appropriate references) -> design skills -> implementation skills. "Build a website" -> rationale -> intent-discovery -> reference-engine -> design-research + ux-patterns -> ui-engineering -> implementation. "Fix this bug" -> fault-diagnosis first, then domain-appropriate skills. (rationale skipped for bugs) "Big project" -> rationale -> intent-discovery -> reference-engine -> task-planning -> team-orchestration (when warranted). "Agent is stuck" -> error-recovery activates proactively based on failure count detection. "What database/hosting should I use?" -> environment-awareness -> deployment-advisor -> system-design.

Execution Mode Guidance

When a user says "use godmode" for a task, evaluate the task and suggest the optimal execution strategy:

digraph execution_guidance {
    "Evaluate task" [shape=box];
    "Single atomic step?" [shape=diamond];
    "Handle directly" [shape=box];
    "Multiple independent parts?" [shape=diamond];
    "Requires peer coordination?" [shape=diamond];
    "Suggest Agent Teams" [shape=box style=filled fillcolor=lightgreen];
    "Suggest Parallel Delegation" [shape=box];
    "Multi-step sequence?" [shape=diamond];
    "Suggest Delegated Execution" [shape=box];
    "Suggest single-agent workflow" [shape=box];

    "Evaluate task" -> "Single atomic step?";
    "Single atomic step?" -> "Handle directly" [label="yes"];
    "Single atomic step?" -> "Multiple independent parts?" [label="no"];
    "Multiple independent parts?" -> "Requires peer coordination?" [label="yes"];
    "Multiple independent parts?" -> "Multi-step sequence?" [label="no"];
    "Requires peer coordination?" -> "Suggest Agent Teams" [label="yes"];
    "Requires peer coordination?" -> "Suggest Parallel Delegation" [label="no"];
    "Multi-step sequence?" -> "Suggest Delegated Execution" [label="yes"];
    "Multi-step sequence?" -> "Suggest single-agent workflow" [label="no"];
}

Present the suggestion before acting:

Based on my analysis, I suggest:

[Suggested strategy] because [reasoning]

- Agent Teams: [X] agents collaborating on [modules] concurrently
- OR Delegated Execution: [N] sequential tasks with review gates
- OR Parallel Delegation: [N] independent tasks running simultaneously
- OR Single agent: manageable enough to handle in one flow

Shall I proceed this way, or do you prefer a different approach?

Skill Categories

Rigid (test-first, fault-diagnosis): Follow precisely. Do not deviate from the discipline.

Flexible (design patterns): Adapt the principles to fit the situation.

The skill definition itself indicates which category applies.

YoloMode

When the user signals they want autonomous execution, skip all confirmation prompts and compress workflows — but never auto-pick labeled options.

Trigger phrases (case-insensitive):

  • "yolo", "yolomode", "yolo mode"
  • "just go", "just do it", "go for it"
  • "skip the questions", "don't ask"
  • "auto-pick", "you decide"

Behavior when active:

  • Skills that present A/B/C/D options ALWAYS pause for user selection — no exceptions
  • Intent-discovery compresses: survey + research + present recommended approach, skip per-section confirmation
  • Rationale analysis still runs (safety check) but is compressed — present analysis and options concisely
  • Completion-gate and test verification are NEVER skipped (quality is non-negotiable)

How skills reference YoloMode:

If YoloMode is active:
  -> State: "YoloMode active — proceeding with recommendation [X] because [reason]"
  -> Execute immediately
  -> Log which option was auto-selected

If YoloMode is NOT active:
  -> Present options with labels and recommendation
  -> Wait for user selection

YoloMode does NOT bypass:

  • Test execution (completion-gate)
  • Security checks (security-protocol)
  • Destructive operations (merge-protocol abandon confirmation)
  • Quality enforcement (quality-enforcement)

YoloMode is about speed, not recklessness. It trusts the agent's recommendation for design choices, not for safety checks.

User Directives

User directives specify WHAT needs to happen, not HOW. "Add X" or "Fix Y" does not mean bypass established workflows.

平台分布

Codex

37.05%
按下载量换算34

Claude

29.45%
按下载量换算27

Cursor

19.83%
按下载量换算18

Gemini CLI

9.49%
按下载量换算9

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

未通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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