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seedseed 搜索

Agent Skill

seed 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。

总安装

303

周安装

13

GitHub Stars

2,795

下载量

106
CodexClaudeCursorGemini CLI

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

unknown

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:seed(seed 搜索)
来源仓库:https://github.com/q00/ouroboros
仓库路径:skills/seed
安装命令:
npx skills add https://github.com/q00/ouroboros --skill seed
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/q00/ouroboros --skill seed

简介

seed 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或任务场景进行信息搜索与筛选的场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 建议确认权限范围和维护状态,注意是否触发联网或文件操作。
  • seed 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

/ouroboros:seed

Generate validated Seed specifications from interview results.

Usage

ooo seed [session_id]
/ouroboros:seed [session_id]

Trigger keywords: "crystallize", "generate seed"

Instructions

When the user invokes this skill:

Load MCP Tools (Required before Path A/B decision)

The Ouroboros MCP tools are often registered as deferred tools that must be explicitly loaded before use. You MUST perform this step before deciding between Path A and Path B.

  1. Use the ToolSearch tool to find and load the seed generation MCP tool: ToolSearch query: "+ouroboros seed"
  2. The tool will typically be named mcp__plugin_ouroboros_ouroboros__ouroboros_generate_seed (with a plugin prefix). After ToolSearch returns, the tool becomes callable.
  3. If ToolSearch finds the tool → proceed to Path A. If not → proceed to Path B.

IMPORTANT: Do NOT skip this step. Do NOT assume MCP tools are unavailable just because they don't appear in your immediate tool list. They are almost always available as deferred tools that need to be loaded first.

Path A: MCP Mode (Preferred)

If the ouroboros_generate_seed MCP tool is available (loaded via ToolSearch above):

  1. Determine the interview session:

- If session_id provided: Use it directly - If no session_id: Check conversation for a recent ouroboros_interview session ID - If none found: Ask the user

  1. Call the MCP tool: Tool: ouroboros_generate_seed Arguments: session_id: <interview session ID>
  2. The tool extracts requirements from the interview, calculates ambiguity score, and generates the Seed YAML.
  3. Present the generated seed to the user.

Advantages of MCP mode: Automated ambiguity scoring (must be <= 0.2), structured extraction from persisted interview state, reproducible.

Path B: Plugin Fallback (No MCP Server)

If the MCP tool is NOT available, fall back to agent-based generation:

  1. Read src/ouroboros/agents/seed-architect.md and adopt that role
  2. Extract structured requirements from the interview Q&A in conversation history
  3. Generate a Seed YAML specification
  4. Present the seed to the user

Seed Components

The seed contains:

  • GOAL: Clear primary objective
  • CONSTRAINTS: Hard limitations (e.g., Python >= 3.12, no external DB)
  • ACCEPTANCE_CRITERIA: Measurable success criteria
  • ONTOLOGY_SCHEMA: Data structure definition (name, fields, types)
  • EVALUATION_PRINCIPLES: Quality principles with weights
  • EXIT_CONDITIONS: When the workflow should terminate
  • METADATA: Version, timestamp, ambiguity score, interview ID

Example Output

goal: Build a CLI task management tool
constraints:
  - Python >= 3.12
  - No external database
  - SQLite for persistence
acceptance_criteria:
  - Tasks can be created
  - Tasks can be listed
  - Tasks can be marked complete
ontology_schema:
  name: TaskManager
  description: Task management domain model
  fields:
    - name: tasks
      type: array
      description: List of tasks
    - name: title
      type: string
      description: Task title
metadata:
  ambiguity_score: 0.15

After Seed Generation

On successful seed generation, first announce:

Your seed has been crystallized!

Then check ~/.ouroboros/prefs.json for star_asked. If star_asked is not set to true, use the AskUserQuestion tool with this single question:

{
  "questions": [{
    "question": "If Ouroboros helped clarify your thinking, a GitHub star supports continued development. Ready to unlock Full Mode?",
    "header": "Next step",
    "options": [
      {
        "label": "\u2b50 Star & Setup",
        "description": "Star on GitHub + run ooo setup to enable run, evaluate, status"
      },
      {
        "label": "Just Setup",
        "description": "Skip star, go straight to ooo setup for Full Mode"
      }
    ],
    "multiSelect": false
  }]
}
  • Star & Setup: Run gh api -X PUT /user/starred/Q00/ouroboros, save {"star_asked": true} to ~/.ouroboros/prefs.json, then read and execute skills/setup/SKILL.md
  • Just Setup: Save {"star_asked": true} to ~/.ouroboros/prefs.json, then read and execute skills/setup/SKILL.md
  • Other (user provides custom text): Save {"star_asked": true}, skip setup

Create ~/.ouroboros/ directory if it doesn't exist.

If star_asked is already true, skip the question and just announce:

Your seed has been crystallized!
📍 Next: `ooo run` to execute this seed (requires `ooo setup` first)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

33.23%
按下载量换算35

Claude

29.37%
按下载量换算31

Cursor

20.08%
按下载量换算21

Gemini CLI

9.26%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

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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