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Agent Skill · 研究检索

godogen(godogen 搜索)

godogen 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。

godogen 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,权限为需要联网;许可证信息还不明确,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 38,727。

总安装 1,518周安装 62GitHub Stars 3,004下载 486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:godogen(godogen 搜索)
来源仓库:https://github.com/htdt/godogen
仓库路径:skills/godogen
安装命令:
npx skills add https://github.com/htdt/godogen --skill godogen
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/htdt/godogen --skill godogen

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。

godogen 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。适用于信息检索和筛选任务。通过关键词、任务场景或来源线索快速定位候选结果。

安装命令:npx skills add https://github.com/htdt/godogen --skill godogen。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。

来源仓库内路径:skills/godogen

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/htdt/godogen --skill godogen;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

    它需要需要联网,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

godogen 怎么安装?

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

godogen 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。

godogen 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

godogen 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。

godogen 用的人多吗?

公开数据是累计安装 1,518 次,近一周安装 62 次,下载 486 次,GitHub 3,004 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。

godogen 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 3,004 星,维护活跃度相对可查。

先想清楚的地方

  • 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

  • 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
godogen

godogen 搜索 · 本页

1,5183,004需要联网未明确有提醒

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

Bevy Game Generator

Generate and update Bevy games from natural language.

Capabilities

Read each stage file from ${GODOGEN_SKILL_DIR}/ only when you reach that stage.

FilePurposeWhen to read
visual-target.mdGenerate reference imagePipeline start
decomposer.mdDecompose into task planAfter visual target
scaffold.mdArchitecture + skeletonAfter decomposition
asset-planner.mdBudget and plan assetsIf budget provided
asset-gen.mdAsset generation CLI refWhen generating assets
rembg.mdBackground removalOnly when an asset needs transparency removed
task-execution.mdTask workflow + commandsBefore first task
quirks.mdBevy gotchasBefore writing code
scene-generation.mdCode-first world constructionWhen creating or replacing the default playable scene
capture.mdScreenshot/video capture + final result bundleBefore automated screenshots or video
*(bevy-help skill)*Current Bevy API, examples, and architecture helpFor any Bevy-specific question

Pipeline

User request
    |
    +- Check if PLAN.md exists (resume check)
    |   +- If yes: read PLAN.md, STRUCTURE.md, MEMORY.md, ASSETS.md if present -> skip to task execution
    |   +- If no: continue with fresh pipeline below
    |
    +- Generate visual target -> reference.png + ASSETS.md (art direction only)
    +- Analyze risks + define verification criteria -> PLAN.md
    +- Design architecture -> STRUCTURE.md + Cargo.toml + src/ stubs
    |
    +- If budget provided (and no asset tables in ASSETS.md):
    |   +- Plan and generate assets -> ASSETS.md + updated PLAN.md with asset assignments
    |
    +- Show user a concise plan summary (risk tasks if any, main build scope)
    |
    +- Execute (see Execution below)
    |
    +- If final presentation media is required:
    |   +- Read capture.md, produce a fresh screenshots/result/{N}/ bundle with raw frames and video.mp4
    |
    +- Summary of completed game

Assets

If a budget is provided, generating proper assets is part of the task, not optional. Do not fall back to procedural primitives when the budget allows a real asset. Plan and generate the asset through asset-planner.md / asset-gen.md.

Procedural stand-ins are acceptable only for genuinely abstract shapes (platforms, blockers, particles) or when the asset planner has explicitly ruled an asset out on budget grounds.

Placeholder primitives in gameplay code are a signal that the asset step was skipped. Go back and generate the asset before continuing.

Execution

Read task-execution.md before starting. Two phases:

  1. Risk tasks (if any) — implement each in isolation, verify, commit
  2. Main build — implement everything else, verify, present results, commit

If PLAN.md calls for presentation media, finish through the Bevy capture flow in capture.md and leave a fresh screenshots/result/{N}/ proof bundle behind.

Bevy Help

When you need Bevy-specific help, use the bevy-help skill with a targeted query. It keeps large reference material out of the main pipeline while giving you version-aware access to rustdoc, the checked-out Bevy repo, official examples, and Learn docs.

Use the skill inline when you already know what class, trait, system pattern, or example to inspect and can answer by reading a small number of docs. Use a dedicated helper agent when you need to discover candidate APIs, compare several patterns, or read multiple or large docs and reduce them to a compact answer.

Be specific about what you need:

  • Targeted query — ask for a concrete symbol or pattern: "Camera3d: what is the Bevy 0.18 pattern for rendering to an image target?"
  • Full API — only when you need to survey the whole type: "full API for AssetServer"

Context Hygiene

Keep important state in files so the pipeline can resume cleanly after long threads or compaction:

  • PLAN.md — task statuses and verification criteria
  • STRUCTURE.md — architecture reference
  • MEMORY.md — discoveries, quirks, workarounds, what worked or failed
  • ASSETS.md — asset manifest with paths and generation details

After completing each task: update PLAN.md, write discoveries to MEMORY.md, and commit. If the thread becomes noisy, summarize the important state into those files and continue from the artifacts instead of relying on conversational memory.

Visual Verification

Do not trust code alone — verify on screenshots, captured frames, and video. Code that looks correct often still ships broken placement, wrong scale, clipped geometry, missing elements, or bad motion timing.

When code and media disagree, trust the media. Be skeptical: the job is to find what is still broken, not to argue that it is probably fine. If a requirement is not clearly visible, treat it as not done.

Inspect captures directly while you work, then finish with a fresh screenshots/result/{N}/ proof bundle containing video.mp4 and the raw frameXXX.png sequence used to encode it.

平台分布

Codex

34.12%
按下载量换算166

Claude

32.84%
按下载量换算160

Cursor

19.11%
按下载量换算93

Gemini CLI

9.85%
按下载量换算48

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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