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splunk-platform斯普伦克平台

Agent Skill

splunk-platform 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

315

周安装

13

GitHub Stars

公开资料未说明

下载量

103
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:splunk-platform(斯普伦克平台)
来源仓库:https://github.com/kundeng/splunk-platform-skill
仓库路径:skills/splunk-platform
安装命令:
npx skills add https://github.com/kundeng/splunk-platform-skill --skill splunk-platform
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/kundeng/splunk-platform-skill --skill splunk-platform

简介

splunk-platform 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位目标内容。

  • 适用于基于关键词或任务场景的信息检索与筛选需求。
  • 通过 npx skills add 命令从 GitHub 仓库安装并调用。
  • 建议确认权限范围和维护状态,避免不必要的联网或文件访问。
  • 可结合原始文档进一步验证功能细节和使用方式。

SKILL.md

Splunk Platform

Use this as the default skill for Splunk work. It should answer most Splunk framework-selection questions directly and send you to exactly one or two reference files for implementation details.

Read only the references that match the task:

  • references/python-sdk.md for Python automation, splunklib, and result parsing
  • references/javascript-sdk.md for Node/browser JS SDK work
  • references/rest-search-patterns.md for raw REST, search jobs, and export patterns
  • references/admin-searches.md for read-only admin/discovery SPL
  • references/ucc-framework.md for add-ons, modular inputs, setup pages, and alert actions
  • references/dashboard-development.md for Dashboard Studio and Simple XML
  • references/mcp-integration.md for agent-facing Splunk tool design
  • references/platform-admin.md for install/upgrade/deployment automation
  • references/app-packaging.md for AppInspect, packaging, and release hygiene

Start Here

Classify the task before you write code:

  1. External automation: Python or JS code talks to Splunk over REST/SDK.
  2. Search/discovery: SPL inspects indexes, metadata, users, apps, and knowledge objects.
  3. App/add-on engineering: packaged Splunk app, technical add-on, modular input, alert action, setup UI.
  4. Dashboards/UI: Dashboard Studio JSON, Simple XML, or legacy SplunkJS/Web Framework.
  5. AI integration: MCP server or other agent-facing tools over Splunk.
  6. Platform administration: host deployment, upgrades, distributed topology, app rollout.

If the task spans multiple areas, pick the primary deliverable first. A script that queries Splunk is external automation, not an add-on.

If the user asks whether a Splunk analysis plan "maps to best practices", asks for "Tier 0" or "Tier 1", or wants to normalize an analytics repo around Splunk-backed exploration, answer from the perspective of a full analysis workflow, not just Splunk infrastructure.

Strong Defaults

  • Prefer Python for automation, exports, CLIs, notebooks, and agent backends.
  • Prefer JavaScript SDK only when the surrounding system is already Node/JS or you are in Splunk web-facing code.
  • Prefer raw REST when you need streaming export semantics, exact endpoint control, or unsupported SDK behavior.
  • Prefer UCC for new technical add-ons. Do not hand-roll setup pages and REST handlers unless you are maintaining an existing non-UCC app.
  • Prefer Dashboard Studio for new dashboards.
  • Prefer Simple XML only for legacy maintenance or when existing app behavior is tightly coupled to XML/tokens.
  • Prefer read-only SPL for discovery and audits.
  • Prefer narrow MCP tools over one generic "run any SPL" endpoint.
  • Prefer official automation repos for platform deployment before inventing custom shell glue.
  • Run AppInspect/package validation before claiming an app or add-on is shippable.

What Not To Use

  • Do not build a Splunk app when the real need is an external export script.
  • Do not use browser-side JS SDK code to hold long-lived credentials unless there is no server-side alternative.
  • Do not default to oneshot for large searches.
  • Do not expose unrestricted search execution to LLMs.
  • Do not create new HTML dashboards or lean on deprecated web framework patterns for greenfield work.
  • Do not use write-side SPL commands in automation unless the user explicitly wants state changes.
  • Do not assume Splunk Cloud lets you use every REST/admin path that Splunk Enterprise does.

Decision Table

Need data out of Splunk for analysis, ETL, or a CLI?

Use python-sdk.md and rest-search-patterns.md.

Default: Python SDK for auth/job lifecycle, raw REST export for large streaming result sets.

Need to inspect a Splunk instance, inventory objects, or audit config?

Use admin-searches.md.

Default: rest, metadata, and tstats. Avoid raw event scans unless you need event content.

Need a Splunk add-on with config UI, modular inputs, or alert actions?

Use ucc-framework.md and likely app-packaging.md.

Default: UCC. Treat packaging/AppInspect as part of the implementation, not postscript.

Need a dashboard or dashboard migration?

Use dashboard-development.md.

Default: Dashboard Studio for new work; Simple XML for edits inside an existing XML-heavy app.

Need an MCP server or AI-safe integration?

Use mcp-integration.md plus either python-sdk.md or rest-search-patterns.md.

Default: server-side credentials, read-only-by-default tools, validated SPL.

Need to install, upgrade, or automate Splunk infrastructure?

Use platform-admin.md.

Default: official Splunk automation repos and admin manual concepts, not bespoke scripts first.

Search Execution Defaults

  • Add explicit time bounds.
  • Add explicit limits or paging.
  • Use search/jobs for managed jobs.
  • Use export endpoints when you need streaming output and do not need a persistent SID.
  • Use SDK job abstractions for moderate searches where polling and result paging are acceptable.
  • Keep query construction separate from result handling.

Enterprise Vs Cloud

  • Splunk Enterprise gives broader host/admin access.
  • Splunk Cloud often constrains platform-level operations and may require Support enablement for specific REST/API capabilities.
  • For app/add-on guidance, always check whether the task is Cloud-safe before recommending local filesystem or admin-server assumptions.

Knowledge Object Defaults

Treat these as first-class assets:

  • saved searches and alerts
  • dashboards/views
  • macros
  • lookups
  • field extractions and props/transforms-driven behavior
  • data models
  • KV store collections

For inventory and audits, start with admin-searches.md. For packaging and app delivery, include those objects intentionally in the app structure and validate them with app-packaging.md.

Safe Patterns

  • Keep auth in env vars or approved secret stores.
  • Separate read paths from write paths in code and tool design.
  • Scope namespaces deliberately when using REST or SDK config/object APIs.
  • Return structured output from automation and MCP tools.
  • When in doubt, choose the path that is easiest to reason about operationally: Python script > custom REST endpoint > full Splunk app.

Replaces

This skill subsumes the old:

  • splunk-sdk
  • splunk-quick-searches

Keep the shims for backward compatibility, but maintain real guidance here.

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

35.91%
按下载量换算37

Claude

33.68%
按下载量换算35

Cursor

18.82%
按下载量换算19

Gemini CLI

9.03%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。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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