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Agent Skill · 研究检索

splunk-platform(斯普伦克平台)

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。

splunk-platform 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,权限为操作浏览器;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 63,559。

总安装 315周安装 13GitHub Stars 公开资料未说明下载 103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: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

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。

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。

来源仓库内路径:skills/splunk-platform

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/kundeng/splunk-platform-skill --skill splunk-p…;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

    它需要操作浏览器,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

splunk-platform 怎么安装?

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

splunk-platform 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。

splunk-platform 需要什么权限?

权限级别是操作浏览器。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。

splunk-platform 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。

splunk-platform 用的人多吗?

公开数据是累计安装 315 次,近一周安装 13 次,下载 103 次。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。

splunk-platform 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
splunk-platform

斯普伦克平台 · 本页

315—操作浏览器未明确通过

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

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.

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。目前只有一个公开来源,建议同时核对源仓库。

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