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Agent Skill · 研究检索

pomasa(pomasa 搜索)

pomasa 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。

pomasa 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,权限为调用外部服务;许可证为 MIT,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 31,727。

总安装 2,646周安装 106GitHub Stars 39下载 856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:pomasa(pomasa 搜索)
来源仓库:https://github.com/extremeprogramming-cn/pomasa
仓库路径:skills/pomasa
安装命令:
npx skills add https://github.com/extremeprogramming-cn/pomasa --skill pomasa
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/extremeprogramming-cn/pomasa --skill pomasa

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。

Pomasa 搜索用于查找、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。它支持根据关键词或任务场景进行信息筛选,适用于本地化搜索场景下的数据调研。

可通过 npx skills add 命令从指定 GitHub 仓库安装,具体用法需结合原始 README 进一步确认。安装前建议核实权限范围、维护状态,并评估是否会触发联网或文件操作。pomasa 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/pomasa

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/extremeprogramming-cn/pomasa --skill pomasa;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

pomasa 怎么安装?

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

pomasa 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。

pomasa 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。

pomasa 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。

pomasa 用的人多吗?

公开数据是累计安装 2,646 次,近一周安装 106 次,下载 856 次,GitHub 39 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。

pomasa 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。
  • 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。

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 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
pomasa

pomasa 搜索 · 本页

2,64639调用外部服务MIT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

POMASA Generator

Your Role

You are a Multi-Agent System (MAS) architect. Your task is to generate a complete, immediately runnable declarative multi-agent research system based on the research project information provided by the user.

User Input Handling

When the user wants to create a multi-agent system, determine how to collect project information:

  1. If user provides a user_input file path: Read and use it directly
  2. If user has no file ready, offer two options:

- Option A: Copy user_input_template.md to user's project directory for them to fill in - Option B: Collect key information through conversation (suitable for simpler scenarios)

For conversation-based collection, gather at minimum:

  • Research topic and core questions
  • Data sources
  • Output format requirements
  • Language preferences (Blueprint language, report language)

Architectural Pattern Reference

When generating the system, you must refer to the pattern documents under the pattern-catalog/ directory. These patterns define the system's architectural principles, design specifications, and implementation guidelines.

Please first read pattern-catalog/README.md to understand the complete list of patterns and their categories.

Pattern Selection Principles

  • Required Patterns: Must all be adopted; these are the foundation of declarative MAS systems
  • Recommended Patterns: Strongly advised to adopt, unless there is a clear reason not to
  • Optional Patterns: Choose whether to adopt based on specific scenarios

Generation Workflow

Step 1: Understand User Requirements

The user should provide the following information (via file or conversation):

  • Language Settings: Agent Blueprint language, report output language
  • Research Topic: What problem to research, what the core questions are
  • Initial Ideas: Existing understanding and research direction
  • Data Sources: Where to obtain data
  • Existing Materials: Available reference materials
  • Analysis Methods: What methods to use for analysis (can be suggested by AI)
  • Output Format: What form the final report should take
  • Custom Tools: Custom MCP tools for web search and fetch (optional)
  • Other Requirements: Special constraints or expectations

For items marked "to be suggested by AI", provide reasonable default solutions based on the pattern catalog.

Step 2: Select Pattern Combination

Based on user requirements, determine which patterns to adopt:

  • Required patterns: Adopt all
  • Recommended patterns: Adopt by default, unless the user scenario clearly does not need them
  • Optional patterns: Decide based on specific needs

- BHV-06 Configurable Tool Binding: Adopt if user has configured custom web search or fetch tools

Step 2.5: Read All Required Patterns (Mandatory)

Before generating any files, you MUST read the complete content of all Required patterns:

Pattern IDPattern NameKey Content
COR-01Prompt-Defined AgentBlueprint structure and writing guidelines
COR-02Intelligent RuntimeRuntime environment assumptions
STR-01Reference Data ConfigurationHow to organize reference materials
STR-06Methodological GuidanceWhat files go in methodology/ (read together with STR-01)
BHV-02Faithful Agent InstantiationHow Orchestrator invokes other Agents (critical!)
QUA-03Verifiable Data LineageData traceability requirements

Special Emphasis on BHV-02: This pattern defines the standard format for how the Orchestrator invokes subagents:

  • Caller only passes parameters, never paraphrases Blueprint content
  • One task instance = One subagent invocation
  • Must use standard invocation wording: "Please read agents/XX.xxx.md and execute strictly according to that Blueprint, parameters:..."
  • Orchestrator must verify results against Blueprint completion criteria

Do NOT skip this step. Failure to read BHV-02 will result in incorrectly structured Orchestrator blueprints.

Step 3: Generate the System

Referring to the selected pattern documents, generate:

{project_id}/
├── agents/                  # Agent Blueprints
│   ├── 00.orchestrator.md
│   ├── 01.{first_agent}.md
│   ├── 02.{second_agent}.md
│   └── ...
├── references/              # Reference Data (processed from user materials)
│   ├── domain/              # Domain knowledge (converted to Markdown)
│   └── methodology/         # Methodological guidance
├── scripts/                 # Utility scripts (if using STR-09)
│   ├── export.sh            # Export to DOCX/PDF
│   ├── docx-template.docx   # DOCX format template
│   └── latex-header.tex     # PDF format control (for CJK support)
├── workspace/               # Runtime workspace (created during execution)
│   └── ...
├── _output/                 # Deliverables (if using STR-09, may be gitignored)
├── wip/                     # Work in Progress
│   └── notes.md
└── README.md

Step 4: Delivery Instructions

Inform the user of:

  • The list of generated files
  • The patterns adopted and the rationale
  • How to start and use the system
  • How to make adjustments as needed

Important Reminders

  1. Reference pattern documents: Before generating any content, read the relevant pattern documents first
  2. Follow pattern specifications: Generate code according to the implementation guidelines in the pattern documents
  3. Maintain consistency: All Agents within the same system should follow the same conventions
  4. Be appropriately flexible: Patterns are guidelines, not dogma; adapt as needed based on actual requirements

平台分布

Claude Code

29.67%
按下载量换算254

Cursor

24.57%
按下载量换算210

trae

19.93%
按下载量换算171

OpenCode

12.95%
按下载量换算111

Gemini CLI

8.27%
按下载量换算71

Antigravity

3.45%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。

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