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Agent Skill · 研究检索

fis-architecture(金融体系架构)

fis-architecture 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

fis-architecture 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,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 5,137。

总安装 27,613周安装 1,128GitHub Stars 3下载 8,934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-0
版本
3.3.1

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:fis-architecture(金融体系架构)
来源仓库:https://github.com/muselinn/fis-architecture
安装命令:
openclaw skills install fis-architecture
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install fis-architecture

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。

fis-architecture 通过 JSON 票证协调多代理工作流程。在 CyberMao 与 Worker 工程师之间分配任务。提升分布式智能体系统的协同效率。fis-architecture 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

安装命令:openclaw skills install fis-architecture。任务委派需定义清晰边界与失败回退策略。

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 OpenClaw;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 openclaw skills install fis-architecture;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

    它需要执行命令,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

fis-architecture 怎么安装?

在终端执行 openclaw skills install fis-architecture。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

fis-architecture 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

fis-architecture 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install fis-architecture 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

fis-architecture 是免费的吗?

来源标注的许可证是 MIT-0。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。

fis-architecture 用的人多吗?

公开数据是累计安装 27,613 次,近一周安装 1,128 次,下载 8,934 次,GitHub 3 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。

fis-architecture 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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 OpenClaw,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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
fis-architecture

金融体系架构 · 本页

27,6133执行命令MIT-0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

name
fis-architecture
description
Orchestrate multi-agent workflows with JSON tickets and A2A coordination. Use when delegating tasks between CyberMao (Main) and Worker agents (Engineer/Researcher/Writer).
metadata
openclaw
emoji
🏗️
always
false
homepage
https://github.com/linn/fis-architecture

FIS Architecture 3.2 Pro

Multi-agent workflow framework for CyberMao (Main) → Worker coordination using JSON tickets and Discord Forum threads.


When to Use This Skill

Use FIS when:

  • CyberMao (Main) needs to delegate complex tasks to specialized Workers
  • A task requires domain expertise (coding, research, writing)
  • You need to track task status across multiple sessions
  • Multi-step workflows require coordination between agents

Agent Roles:

RoleAgent IDExpertise
ArchitectmainCoordination, task routing, user communication
CodingengineerPython, gprMax, algorithms, data analysis
ResearchresearcherTheory, literature, simulation planning
WritingwriterDocumentation, LaTeX, visualization

Discord Bot Permissions (REQUIRED)

Each agent's Discord bot must have these permissions configured in the Discord server. Without them, Thread creation and messaging will fail silently.

Required Bot Permissions:

  • Send Messages — reply in channels and threads
  • Send Messages in Threads — post inside Forum threads
  • Create Public Threads — create new Forum posts programmatically
  • Read Message History — read thread context
  • Embed Links — send rich embeds in reports
  • Attach Files — upload deliverables

How to configure:

  1. Go to Discord Server Settings → Roles
  2. For each bot role (CyberMao, Researcher, Engineer, Writer), enable the permissions above
  3. Ensure each Forum channel grants these permissions to the relevant bot roles

Verify with:

{ "action": "threadCreate", "channelId": "<forum_channel_id>", "name": "Permission Test" }

If the bot lacks permissions, the discord tool will return an error.


Tool Configuration

ToolPurposePath
fis_lifecycle_pro.pyTicket lifecycle (create/status/complete/list)scripts/fis_lifecycle_pro.py
fis_coordinator.pyGenerate delegation templates (CyberMao only)scripts/fis_coordinator.py
fis_worker_toolkit.pySpawn sub-agents, generate reports (Workers only)scripts/fis_worker_toolkit.py

Python Environment: Requires Python 3.8+ with standard library only (no external dependencies).


Core Workflow

Step 1: CyberMao Delegates Task

# Generate ticket + Thread template + A2A command
python3 scripts/fis_coordinator.py delegate \
  --agent engineer \
  --task "Implement GPR signal filter" \
  --forum coding

Output:

  • Ticket ID: TASK_YYYYMMDD_XXX_AGENT
  • Thread template content
  • sessions_send command to notify Worker

Step 2: CyberMao Creates Forum Thread

Use the discord tool to create a Thread in the appropriate Forum channel:

{
  "action": "threadCreate",
  "channelId": "<forum_channel_id>",
  "name": "TASK_xxx: Implement GPR signal filter"
}

The response returns the new Thread ID. Then notify the Worker with the Thread ID:

python3 scripts/fis_coordinator.py notify \
  --ticket-id TASK_xxx \
  --thread-id <new_thread_id>

Execute the generated sessions_send command to notify the Worker.

Step 3: Worker Executes Task

# Check ticket
python3 scripts/fis_lifecycle_pro.py list

# Update status
python3 scripts/fis_lifecycle_pro.py status \
  --ticket-id TASK_xxx --status doing

# Optional: Spawn sub-agent for complex sub-tasks
python3 scripts/fis_worker_toolkit.py spawn \
  --parent-ticket TASK_xxx \
  --subtask "Analyze algorithm complexity"

Worker replies in the Forum Thread using the discord tool:

{
  "action": "threadReply",
  "channelId": "<thread_id>",
  "content": "Task received. Starting execution."
}

Step 4: Worker Reports Completion

# Generate completion report
python3 scripts/fis_worker_toolkit.py report \
  --parent-ticket TASK_xxx \
  --summary "Successfully implemented GPR filter" \
  --deliverables filter.py test_results.json

Execute the generated sessions_send command to notify CyberMao.

Step 5: CyberMao Finalizes

# View report
python3 scripts/fis_coordinator.py report --ticket-id TASK_xxx

# Mark complete
python3 scripts/fis_lifecycle_pro.py complete --ticket-id TASK_xxx

Archive the Thread and report to User in #daily-chat.


Architecture

User/Linn
    ↓
CyberMao (Main) - Architect, coordinator
    ↓ sessions_send + discord threadCreate
Worker (Engineer/Researcher/Writer) - Domain experts
    ↓ (optional) sessions_spawn mode="run"
SubAgent (temporary, background) - Complex sub-tasks

Key Principles:

  1. A2A via sessions_send — Main calls Workers, Workers report back
  2. Ticket tracking — All tasks have JSON tickets in fis-hub/
  3. Programmatic Thread creation — CyberMao creates Forum Threads via discord tool's threadCreate action
  4. SubAgent background mode — sessions_spawn with mode="run", no new Thread

Commands Reference

fis_lifecycle_pro.py

# Create ticket
python3 scripts/fis_lifecycle_pro.py create \
  --agent engineer --task "Description" --channel-type coding

# Update status (todo/doing/done)
python3 scripts/fis_lifecycle_pro.py status \
  --ticket-id TASK_xxx --status doing --note "Progress update"

# Mark complete
python3 scripts/fis_lifecycle_pro.py complete --ticket-id TASK_xxx

# List active tickets
python3 scripts/fis_lifecycle_pro.py list

# Archive old tickets
python3 scripts/fis_lifecycle_pro.py archive

fis_coordinator.py (CyberMao only)

# Delegate and generate templates
python3 scripts/fis_coordinator.py delegate \
  --agent researcher --task "GPR theory analysis" --forum theory

# Notify Worker after Thread is created
python3 scripts/fis_coordinator.py notify \
  --ticket-id TASK_xxx --thread-id <discord_thread_id>

# View detailed report
python3 scripts/fis_coordinator.py report --ticket-id TASK_xxx

fis_worker_toolkit.py (Workers only)

# Spawn sub-agent (background, no Thread)
python3 scripts/fis_worker_toolkit.py spawn \
  --parent-ticket TASK_xxx --subtask "Complex sub-task description"

# Generate completion report
python3 scripts/fis_worker_toolkit.py report \
  --parent-ticket TASK_xxx \
  --summary "Completion summary" \
  --deliverables file1.py file2.json

Channel Mapping

CategoryForum ChannelWorkerTool Flag
RESEARCH🔬-theory-derivation@Researcher--forum theory
RESEARCH📊-gpr-simulation@Researcher--forum simulation
DEVELOPMENT💻-coding@Engineer--forum coding
WRITING📝-drafts@Writer--forum drafts

Error Handling

If ticket creation fails:

  • Check Python version: python3 --version (need 3.8+)
  • Verify fis-hub/ directory exists and is writable
  • Check disk space

If Thread creation fails:

  • Verify the bot has Create Public Threads permission in the target Forum channel
  • Check that channelId points to a Forum channel (not a regular text channel)
  • Confirm the bot is a member of the server with correct roles

If A2A fails:

  • Verify openclaw.json has agentToAgent.enabled: true
  • Confirm Worker agent ID is in allow list
  • Check Worker session is active

If sub-agent spawn fails:

  • Ensure mode="run" is used (not mode="session")
  • Verify task description is clear and specific

Quality Standards

  1. One Task = One Ticket — Never reuse ticket IDs
  2. Status Updates Required — Workers must update status (TODO → DOING → DONE)
  3. Thread Per Task — Each task gets its own Forum Thread (created via threadCreate)
  4. A2A Confirmation — Always confirm receipt via sessions_send
  5. Archive After Complete — Archive Thread after task completion

Configuration

Required in ~/.openclaw/openclaw.json:

{
  "tools": {
    "agentToAgent": {
      "enabled": true,
      "allow": ["main", "researcher", "engineer", "writer"]
    }
  }
}

Testing

Quick A2A Test

# Test connectivity
sessions_send(sessionKey="engineer", message="A2A test")

Thread Creation Test

{ "action": "threadCreate", "channelId": "<forum_channel_id>", "name": "FIS Test Thread" }

Full Workflow Test

# 1. Create task
python3 scripts/fis_coordinator.py delegate \
  --agent researcher --task "Test task" --forum theory

# 2. Create Forum Thread via discord tool threadCreate

# 3. Notify Worker with Thread ID
python3 scripts/fis_coordinator.py notify \
  --ticket-id TASK_xxx --thread-id <thread_id>

# 4. Execute A2A command

# 5. Complete
python3 scripts/fis_lifecycle_pro.py complete --ticket-id TASK_xxx

*FIS 3.2 Pro | Multi-Agent Workflow Framework*

平台分布

OpenClaw

81.37%
按下载量换算7,270

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install fis-architecture 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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