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Agent Skill · 研究检索

pyats-topology(pyats 拓扑)

pyats-topology 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。

pyats-topology 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;许可证信息还不明确,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 56,028。

总安装 465周安装 19GitHub Stars 462下载 149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:pyats-topology(pyats 拓扑)
来源仓库:https://github.com/automateyournetwork/netclaw
仓库路径:skills/pyats-topology
安装命令:
npx skills add https://github.com/automateyournetwork/netclaw --skill pyats-topology
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/automateyournetwork/netclaw --skill pyats-topology

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。

用于查找、检索和筛选相关信息。pyats-topology 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库与原始 README 进一步核验具体用法。安装前需确认权限范围及是否会触发联网或文件读写操作。建议检查维护状态,避免使用不稳定或已弃用的技能。

来源仓库内路径:skills/pyats-topology

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/automateyournetwork/netclaw --skill pyats-topo…;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

pyats-topology 怎么安装?

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

pyats-topology 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。

pyats-topology 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。

pyats-topology 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。

pyats-topology 用的人多吗?

公开数据是累计安装 465 次,近一周安装 19 次,下载 149 次,GitHub 462 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。

pyats-topology 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。
  • 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

  • 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
pyats-topology

pyats 拓扑 · 本页

465462调用外部服务未明确通过

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

Topology Discovery

When to Use

  • Building network diagrams from scratch (no documentation exists)
  • Validating existing documentation matches reality
  • Pre-change topology baseline
  • Incident response — understanding blast radius
  • New device onboarding — mapping where it connects

Discovery Procedure

Step 1: CDP Neighbors (Cisco-to-Cisco)

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show cdp neighbors detail"}'

Extract per neighbor:

  • Device ID (hostname)
  • Platform and model
  • IP address (management address)
  • Local interface → Remote interface (link mapping)
  • Software version
  • Native VLAN (on switch links)
  • Duplex

Build adjacency table:

Local Device | Local Interface | Remote Device | Remote Interface | Remote Platform
R1           | Gi0/0/0         | SW1           | Gi1/0/1          | WS-C3850-24T
R1           | Gi0/0/1         | R2            | Gi0/0/0          | ISR4431

Step 2: LLDP Neighbors (Multi-Vendor)

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show lldp neighbors detail"}'

LLDP is IEEE 802.1AB — works with non-Cisco devices (Arista, Juniper, Linux hosts, IP phones, APs). Same adjacency table format as CDP but may include additional TLVs.

Step 3: ARP Table (L3 Neighbor Discovery)

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show arp"}'

Analysis:

  • Map IP addresses to MAC addresses on each interface
  • Identify directly connected hosts (servers, endpoints, other routers)
  • Look for multiple MAC addresses on the same interface (switch segment)
  • Incomplete entries indicate devices that are configured but unreachable

Step 4: Routing Protocol Peers

OSPF neighbors = L3 adjacent routers:

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip ospf neighbor"}'

BGP peers = logical connections (may be multi-hop):

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip bgp summary"}'

EIGRP neighbors:

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip eigrp neighbors"}'

Step 5: Interface-to-Subnet Mapping

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip interface brief"}'

Build subnet map:

Interface     | IP Address      | Subnet          | Connected Subnet
Gi0/0/0       | 10.1.1.1/30     | 10.1.1.0/30     | R1 <-> SW1 transit
Gi0/0/1       | 10.1.2.1/30     | 10.1.2.0/30     | R1 <-> R2 transit
Loopback0     | 1.1.1.1/32      | 1.1.1.1/32      | Router ID

Step 6: VRF Topology

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show vrf"}'

For each VRF, identify:

  • VRF name, RD, RT import/export
  • Interfaces assigned to the VRF
  • Routes in the VRF routing table

Step 7: FHRP Group Mapping

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "python3 -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show standby brief"}'

Map virtual IPs, active/standby roles, group numbers, and tracking objects.

Building the Topology Model

Combine all discovery data into a unified model:

Topology: NetClaw Discovery - YYYY-MM-DD

Devices:
  R1 (C8000V, IOS-XE 17.x.x)
    Loopback0: 1.1.1.1/32 (Router ID)
    Gi1: 10.1.1.1/30 → R2:Gi1 (OSPF Area 0, cost 1)
    Gi2: 10.1.2.1/24 → SW1:Gi0/1 (Access VLAN 10)

  R2 (ISR4431, IOS-XE 17.x.x) [discovered via CDP]
    Gi1: 10.1.1.2/30 → R1:Gi1
    Gi2: 10.2.1.1/24 → SW2:Gi0/1

Subnets:
  10.1.1.0/30  - R1-R2 transit (OSPF Area 0)
  10.1.2.0/24  - R1 LAN segment (VLAN 10)
  10.2.1.0/24  - R2 LAN segment (VLAN 20)

Routing Adjacencies:
  R1 <-> R2: OSPF (Area 0, FULL)
  R1 <-> ISP: BGP (AS 65001 <-> AS 65000, Established)

FHRP:
  VLAN 10: HSRP Group 10, VIP 10.1.2.254, Active=R1, Standby=R3

Integration with Diagram Tools

After discovery, use this data to generate:

  • Draw.io diagrams (via drawio-diagram skill) — for formal network documentation
  • Markmap mind maps (via markmap-viz skill) — for hierarchical protocol views
  • NVD CVE audit (via nvd-cve skill) — using discovered software versions

NetBox Cable Reconciliation (MISSION02 Enhancement)

When NetBox is available ($NETBOX_MCP_SCRIPT is set), reconcile discovered topology against the source of truth:

Pull NetBox Cables

python3 $MCP_CALL "python3 -u $NETBOX_MCP_SCRIPT" netbox_get_objects '{"object_type":"dcim.cables","filters":{},"limit":200}'

Pull NetBox Devices

python3 $MCP_CALL "python3 -u $NETBOX_MCP_SCRIPT" netbox_get_objects '{"object_type":"dcim.devices","filters":{},"brief":true}'

Pull NetBox Interfaces

python3 $MCP_CALL "python3 -u $NETBOX_MCP_SCRIPT" netbox_get_objects '{"object_type":"dcim.interfaces","filters":{"device":"R1"}}'

Reconciliation Categories

Compare CDP/LLDP discovered neighbors against NetBox cables:

CategoryMeaningAction
DOCUMENTEDLink exists in both discovery and NetBoxNo action
UNDOCUMENTEDLink found by CDP/LLDP but not in NetBoxOpen ServiceNow incident to update NetBox
MISSINGCable in NetBox but not seen by CDP/LLDPInvestigate — may be physical disconnect
MISMATCHEndpoints differ between discovery and NetBoxInvestigate — possible re-patching

Color-Coded Draw.io Diagram

Generate a Draw.io topology diagram with links color-coded by reconciliation status:

  • Green: DOCUMENTED
  • Yellow: UNDOCUMENTED
  • Red: MISSING
  • Orange: MISMATCH

Fleet-Wide Discovery (pCall)

Run CDP/LLDP/ARP/routing peer collection across ALL devices simultaneously using multiple exec commands. Merge results to build the complete topology graph.

GAIT Audit Trail

Record the topology discovery in GAIT:

python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_record_turn '{"input":{"role":"assistant","content":"Topology discovery completed: 5 devices, 12 links. NetBox reconciliation: 10 documented, 1 undocumented, 1 missing.","artifacts":[]}}'

平台分布

Codex

35.57%
按下载量换算53

Claude

29.9%
按下载量换算45

Cursor

20.15%
按下载量换算30

Gemini CLI

10.41%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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