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Agent Skill · 研究检索

fleet-inventory(车队库存)

fleet-inventory 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。

fleet-inventory 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,权限为接触敏感数据;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 67,168。

总安装 250周安装 10GitHub Stars 5下载 81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:fleet-inventory(车队库存)
来源仓库:https://github.com/rhecosystemappeng/agentic-collections
仓库路径:skills/fleet-inventory
安装命令:
npx skills add https://github.com/rhecosystemappeng/agentic-collections --skill fleet-inventory
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/rhecosystemappeng/agentic-collections --skill fleet-inventory

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。

fleet-inventory 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx skills add 命令从指定仓库安装,需结合原始 README 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。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/fleet-inventory

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/rhecosystemappeng/agentic-collections --skill…;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

    它需要接触敏感数据,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

fleet-inventory 怎么安装?

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

fleet-inventory 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。

fleet-inventory 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

fleet-inventory 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。

fleet-inventory 用的人多吗?

公开数据是累计安装 250 次,近一周安装 10 次,下载 81 次,GitHub 5 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。

fleet-inventory 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
fleet-inventory

车队库存 · 本页

2505接触敏感数据未明确通过

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

Fleet Inventory Skill

This skill queries Red Hat Lightspeed to retrieve and display information about managed systems, registered hosts, and fleet inventory.

Prerequisites

Required MCP Servers: lightspeed-mcp (setup guide)

Required MCP Tools:

  • get_host_details (from lightspeed-mcp) - Retrieve system inventory
  • get_cve_systems (from lightspeed-mcp) - Find CVE-affected systems

Required Environment Variables:

  • LIGHTSPEED_CLIENT_ID - Red Hat Lightspeed service account client ID
  • LIGHTSPEED_CLIENT_SECRET - Red Hat Lightspeed service account secret

Prerequisite Validation

CRITICAL: Before executing any operations, execute the /mcp-lightspeed-validator skill to verify MCP server availability.

See Step 0 in the Workflow section below for implementation details.

Validation freshness: Can skip if already validated in this session. See Validation Freshness Policy.

When to Use This Skill

Use this skill directly when you need:

  • List all systems registered in Red Hat Lightspeed
  • Show systems affected by specific CVEs
  • Display system details (OS version, tags, last check-in)
  • Filter systems by environment, RHEL version, or tags
  • Count systems matching criteria
  • Verify system registration status

Use the /remediation skill when you need:

  • Remediate vulnerabilities on systems
  • Generate or execute playbooks
  • Perform infrastructure changes
  • End-to-end CVE remediation workflows

How they work together: Use this skill for discovery ("What systems are affected?"), then transition to the /remediation skill for action ("Remediate those systems").

Workflow

Step 0: Validate Lightspeed MCP Prerequisites

Action: Execute the /mcp-lightspeed-validator skill

Note: Can skip if validation was performed earlier in this session and succeeded. See Validation Freshness Policy.

How to invoke: Execute the /mcp-lightspeed-validator skill

Handle validation result:

  • If validation PASSED: Continue to Step 1
  • If validation PARTIAL (connectivity test unavailable):

- Warn user: "Configuration appears correct but connectivity could not be tested" - Ask: "Do you want to proceed? (yes/no)" - If yes: Continue to Step 1 - If no: Stop execution

  • If validation FAILED:

- The validator provides error details and setup instructions - Wait for user decision (setup/skip/abort) - If user chooses "skip": Attempt Step 1 anyway (may fail) - If user chooses "setup" or "abort": Stop execution

Example:

Before retrieving fleet inventory, I'll validate the Lightspeed MCP server configuration.

[Invoke mcp-lightspeed-validator skill]

✓ Lightspeed MCP validation successful.
Proceeding with fleet inventory query...

Step 1: Retrieve System Inventory

Document Consultation (REQUIRED - Execute FIRST):

  1. Action: Read insights-api.md using the Read tool to understand the get_host_details response format and pagination handling
  2. Output to user: "I consulted insights-api.md to understand the get_host_details response format and pagination handling."

MCP Tool: get_host_details (from lightspeed-mcp)

Purpose: Query Lightspeed for comprehensive system information

Parameters: See references/01-parameter-reference.md for get_host_details/get_cve_systems parameters and response fields.

Verification Checklist:

  • ✓ Systems list returned with metadata
  • ✓ Total count matches expectation
  • ✓ System details include RHEL version, tags, status
  • ✓ No authentication errors (401/403)

Key Fields to Extract:

  • id: Unique system identifier (use for remediation workflows)
  • display_name / fqdn: Human-readable hostname
  • rhel_version: OS version (critical for remediation compatibility)
  • tags: Environment labels (production, staging, dev)
  • stale: Whether system recently checked in (< 7 days)
  • last_seen: Last Lightspeed client run timestamp

Step 2: Filter and Organize Systems

Document Consultation (REQUIRED - Execute FIRST):

  1. Action: Read fleet-management.md using the Read tool to understand fleet inventory reporting structure and best practices
  2. Output to user: "I consulted fleet-management.md to structure this inventory report."

Apply user-requested filters and grouping. See references/01-parameter-reference.md for filtering and sorting patterns.

Step 3: Query CVE-Affected Systems

MCP Tool: get_cve_systems (from lightspeed-mcp)

Purpose: Find systems affected by specific CVEs

Parameters: cve_id (CVE-YYYY-NNNNN, uppercase). See references/01-parameter-reference.md.

Verification Checklist:

  • ✓ CVE ID matches request exactly
  • ✓ System list includes remediation status for each
  • ✓ Counts are accurate (affected, remediated, still vulnerable)
  • ✓ remediation_available flag is present

Status Interpretation:

Status: "Vulnerable"
→ CVE affects this system, patch not applied
→ Action: Suggest remediation via `/remediation` skill

Status: "Patched"
→ CVE previously affected, now remediated
→ Action: No action needed, informational only

Status: "Not Affected"
→ System not vulnerable to this CVE
→ Action: Exclude from affected count

Step 4: Generate Fleet Summary

Create organized output. Read references/03-output-templates.md for report format (Overview, RHEL/Environment breakdown, System Details, Stale Systems).

Step 5: Offer Remediation Transition

When appropriate, suggest transitioning to the /remediation skill:

## Next Steps

**For CVE Remediation**:
If you need to remediate vulnerabilities on any of these systems, I can help using the `/remediation` skill:

Examples:
- "Remediate CVE-2024-1234 on web-server-01"
- "Create playbook for all RHEL 8 production systems affected by CVE-2024-5678"
- "Batch remediate critical CVEs on staging environment"

**For System Investigation**:
- "Show CVEs affecting web-server-01" (use cve-impact skill)
- "Analyze risk for production systems" (use cve-impact skill)
- "List critical vulnerabilities across the fleet" (use cve-impact skill)

Dependencies

Required MCP Servers

  • lightspeed-mcp - Red Hat Lightspeed platform access for system inventory and CVE data

Required MCP Tools

  • get_host_details (from lightspeed-mcp) - Retrieve all registered systems with metadata

- Parameters: Optional filters (system_id, hostname_pattern, tags, operating_system) - Returns: List of systems with id, display_name, fqdn, rhel_version, tags, stale status

  • get_cve_systems (from lightspeed-mcp) - Find systems affected by specific CVEs

- Parameters: cve_id (string, format: CVE-YYYY-NNNNN) - Returns: List of affected systems with vulnerability and remediation status

Related Skills

  • mcp-lightspeed-validator - PREREQUISITE - Validates Lightspeed MCP server configuration and connectivity

- Use before: ALL fleet-inventory operations (Step 0 in workflow) - Purpose: Ensures MCP server is available before attempting tool calls - Prevents errors from missing configuration or credentials

  • cve-impact - Analyze CVE severity and risk after identifying affected systems

- Use after: "What systems are affected by CVE-X?" → "What's the risk of CVE-X?"

  • cve-validation - Validate CVE IDs before querying affected systems

- Use before: If CVE ID format is unclear, validate first

  • system-context - Get detailed system configuration for specific hosts

- Use after: Fleet discovery identifies systems needing deeper investigation

  • /remediation (skill) - Transition to remediation workflows after discovery

- Use after: "Show affected systems" → "Remediate those systems"

Reference Documentation

Skill Orchestration Pattern

Information-First Workflow:

User Query: "Show the managed fleet"
    ↓
fleet-inventory skill (discovery)
    ↓
Systems identified: 42 total, 15 affected by CVE-2024-1234
    ↓
User: "What's the risk of CVE-2024-1234?"
    ↓
cve-impact skill (analysis)
    ↓
CVSS 8.1, Critical severity, affects httpd package
    ↓
User: "Remediate CVE-2024-1234 on all production systems"
    ↓
`/remediation` skill (action)
    ↓
Playbook generated and executed

Key Principle: Always start with discovery before taking remediation actions. This ensures informed decisions based on actual fleet state.

Output, Examples, Error Handling

Read references/03-output-templates.md for report format. Read references/04-examples.md for fleet, CVE-affected, and environment-filter examples. Read references/05-error-handling.md for no-results, API errors, and stale system handling.

Best Practices

Start broad then filter; group by environment/RHEL/tier; highlight stale systems; offer /remediation transitions; use tables and percentages; declare document consultations; verify prerequisites first.

平台分布

Codex

38.02%
按下载量换算31

Claude

28.92%
按下载量换算23

Cursor

21.2%
按下载量换算17

Gemini CLI

9.64%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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