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Agent Skill · 研究检索

implementing-agent-modes(实施 Agent 模式)

implementing-agent-modes 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。

implementing-agent-modes 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,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 9,421。

总安装 14,253周安装 606GitHub Stars 34,162下载 4,993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

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:implementing-agent-modes(实施 Agent 模式)
来源仓库:https://github.com/posthog/posthog
仓库路径:skills/implementing-agent-modes
安装命令:
npx skills add https://github.com/posthog/posthog --skill implementing-agent-modes
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/posthog/posthog --skill implementing-agent-modes

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。

implementing-agent-modes 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词、任务场景或来源线索进行信息搜集与整理的场景。通过关键词匹配和来源仓库筛选实现信息检索,支持结合具体任务目标使用。

安装命令为 npx skills add https://github.com/posthog/posthog --skill implementing-agent-modes。使用前需确认权限范围、维护状态,注意是否触发联网或文件读写操作。

来源仓库内路径:skills/implementing-agent-modes

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/posthog/posthog --skill implementing-agent-mod…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

implementing-agent-modes 怎么安装?

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

implementing-agent-modes 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。

implementing-agent-modes 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

implementing-agent-modes 是免费的吗?

来源标注的许可证是 MIT。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。

implementing-agent-modes 用的人多吗?

公开数据是累计安装 14,253 次,近一周安装 606 次,下载 4,993 次,GitHub 34,162 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。

implementing-agent-modes 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
implementing-agent-modes

实施 Agent 模式 · 本页

14,25334,162只读MIT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

Agent modes

Use the steps below to plan or implement a new mode. A mode is a way to manage the context of the agent and inject tools, prompts, and mode-related behavior relevant to a product, use case, JTBD, etc. The agent has the switch_mode tool that allows it to switch itself to another mode, which might change tools, prompt, and executables, preserving the current context. Some previously created tools are contextual, meaning they're injected on particular pages of the frontend. The modes change the approach and always have tools in the mode context.

Determine mode name

Explore the ee/hogai/core/agent_modes/presets directory and check if there are already modes that match the user's intent. If you want to create a new mode, you should scope it by a PostHog product (Product analytics), product area (SQL), or agent (Instrumentation agent).

(optionally) Create a new mode in schema

Add a new AgentMode to frontend/src/queries/schema/schema-assistant-messages.ts and regenerate the schema using:

hogli build:schema

Alternatively, you may use this command:

pnpm run schema:build

Create or update mode's scaffolding

A mode should typically contain at least two things:

  • An AgentToolkit exposing tools that are specific to the mode and trajectory examples for the todo tool.
  • An AgentModeDefinition containing the AgentMode, mode description that is always injected into the context window of the agent, and classes for toolkit and executables.

Note: you should only create new executables if the user needs to modify the prompt, behavior of that mode, or the execution loop itself.

Adding tools to the mode

Relevant tools might be located in ee/hogai/tools or products/<product_name>/backend/max_tools. There is a set of tools that is always injected into the context, like the read_data tool, but all other tools should be specific to the mode.

Before adding a tool to the toolkit, determine if those tools have tool dependencies. If there are dependencies (like an experiment depends on feature flag creation), loop back to the user to determine whether they want to merge modes into a single one. If they don't want to do that, make sure that you later add a trajectory example clearly explaining mode switching and tool selection.

You should also verify that the tools are backend-first. If tools apply frontend changes without passing proper context back to the conversation, you should propose a way to make them backend-first so the agent has the right context.

Review the default toolkit

If the new mode contains new Django models, you should review whether the read_data, search, and list_data tools have the functionality to retrieve the models. If they don't support these models, you should use or implement one of the context providers available in ee/hogai/context/....

Write JTBD-like trajectory examples

Update the AgentToolkit to include trajectory examples. These should be JTBD-style examples showing how the agent should achieve typical tasks with the available tools. Check the Product analytics preset for reference.

Implement frontend

Update max-constants.tsx to include new tools and add the mode to the mode selector. You might also need to create new UI elements for displaying data from the tools.

Example

Say you've updated the Error tracking tool to list issues. It used to be a frontend tool that only updated filters, but now it outputs error tracking issues. While the agent has the context it needs, the user also needs to see the issues in a human-readable way. In this case, you should design and implement a new component to display the tool's output.

Add feature flag

All new modes must be feature-flagged. Example:

    @property
    def mode_registry(self) -> dict[AgentMode, AgentModeDefinition]:
        registry = dict(DEFAULT_CHAT_AGENT_MODE_REGISTRY)
        if has_error_tracking_mode_feature_flag(self._team, self._user):
            registry[AgentMode.ERROR_TRACKING] = error_tracking_agent
        return registry

If you have created new tools, make sure you feature flag them correctly:

  1. Old tools that are being migrated should not be available if the feature flag is active.
  2. New tools should only be available if the feature flag is active.

Implement and update tests

You should test new tools, presets, executables, and optionally implement evals.

平台分布

Claude Code

30.27%
按下载量换算1,511

Codex

24.25%
按下载量换算1,211

OpenCode

16.25%
按下载量换算811

Cursor

13.32%
按下载量换算665

Antigravity

6.96%
按下载量换算348

Gemini CLI

3.14%
按下载量换算157

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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