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Agent Skill · 研究检索

fleet(fleet 命令行)

fleet 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 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 48,806。

总安装 675周安装 29GitHub Stars 55下载 237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(fleet 命令行)
来源仓库:https://github.com/rysweet/amplihack
仓库路径:skills/fleet
安装命令:
npx skills add https://github.com/rysweet/amplihack --skill fleet
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/rysweet/amplihack --skill fleet

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。适合根据关键词、任务场景或来源线索快速定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写。

安装命令:npx skills add https://github.com/rysweet/amplihack --skill fleet

来源仓库内路径:skills/fleet

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/rysweet/amplihack --skill fleet;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 怎么安装?

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

fleet 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 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 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 用的人多吗?

公开数据是累计安装 675 次,近一周安装 29 次,下载 237 次,GitHub 55 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 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

fleet 命令行 · 本页

67555接触敏感数据未明确有提醒

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

Fleet orchestration — manage coding agents (Claude Code, Copilot, Amplifier) running across multiple Azure VMs via azlin.

Invoke as /fleet <command> or just describe what you want and Claude will pick the right command.

All Commands

Status & Monitoring

CommandWhat it does
fleet statusQuick text overview of all VMs and sessions
fleet scoutDiscover, adopt, dry-run reason, show report
fleet snapshotPoint-in-time capture of all managed sessions
fleet watch <vm> <session>Live snapshot of a single session
fleet observe <vm>Observe sessions with pattern classification
fleet tuiInteractive Textual TUI dashboard

Admiral Control

CommandWhat it does
fleet advanceLIVE — reason and execute actions on sessions
fleet dry-runShow what the admiral would do (no action)
fleet run-onceSingle PERCEIVE->REASON->ACT cycle
fleet startRun autonomous admiral loop

Session Management

CommandWhat it does
fleet adopt <vm>Bring existing tmux sessions under management
fleet auth <vm>Propagate auth tokens (GitHub, Azure, Claude)

Task Management

CommandWhat it does
fleet add-task "prompt"Queue work for the fleet
fleet queueShow task queue
fleet dashboardProject-level tracking
fleet reportGenerate fleet status report

Projects & Knowledge

CommandWhat it does
fleet project add/list/removeManage fleet projects
fleet project add-issue <proj> <num>Track a GitHub issue as a project objective
fleet project track-issue <proj>Sync objectives from GitHub issues by label
fleet graphFleet knowledge graph summary

Co-Pilot

CommandWhat it does
fleet copilot-statusShow copilot lock/goal state
fleet copilot-logShow copilot decision history

Quick Reference

User saysCommand
"What are my agents doing?"fleet scout
"Show me the fleet"fleet status
"Send next steps to all sessions"fleet advance
"Advance without confirmation"fleet advance --force
"Watch what dev/cybergym is doing"fleet watch dev cybergym
"Add auth to the new VM"fleet auth <vm>
"Queue this task for the fleet"fleet add-task "prompt"
"Track issue #42 for myapp"fleet project add-issue myapp 42
"Sync objectives from GitHub"fleet project track-issue myapp
"Open the dashboard"fleet tui

Key Options

fleet scout   [--session vm:session] [--vm VM] [--skip-adopt] [--incremental] [--save PATH]
fleet advance [--session vm:session] [--vm VM] [--force] [--save PATH]
fleet dry-run [--vm VM ...] [--backend auto|anthropic|copilot|litellm]
fleet adopt   <vm> [--sessions s1 s2]
fleet watch   <vm> <session> [--lines 30]
fleet auth    <vm> [--services github azure claude]
fleet add-task "prompt" [--priority high] [--repo URL]
fleet start   [--interval 300] [--max-cycles 10]

Environment

VariableRequired for
AZLIN_PATHAll commands (auto-detected if azlin on PATH)
ANTHROPIC_API_KEYscout, advance, dry-run, run-once, start

Admiral Configuration

  • Model: Claude Opus 4.6 (claude-opus-4-6)
  • Max output tokens: 128,000 (reasoning JSON)
  • Context gathered per session: full tmux scrollback + first 50 & last 200 transcript messages
  • Safety: 57 dangerous-input patterns blocked (with safe allow-list), confidence thresholds (60% send_input, 80% restart), --confirm default on advance
  • Docs: docs/fleet-orchestration/ADMIRAL_REASONING.md

Status Icons

IconStatusMeaning
[~]thinkingAgent is actively processing
[>]runningAgent producing output
[.]idleAgent at prompt, waiting for direction
[X]shell (dead agent)No agent detected in this session
[Z]suspendedAgent backgrounded but alive
[!]errorError detected in session output
[+]completedAgent finished its task
[?]waiting inputAgent asked a question, awaiting response

Performance & Architecture

  • Sequential VM polling: Session discovery from azlin list (no SSH). Pane capture via sequential SSH
  • Cached SSH output: Scout caches Phase 1 tmux captures for Phase 3 reasoning (no double-poll)
  • Incremental scout: --incremental flag skips unchanged sessions using ~/.amplihack/fleet/last_scout.json
  • Bastion tunnel reuse: Reuses existing SSH tunnels via get_existing_tunnels() instead of creating new ones
  • PR URL detection: Uses gh pr list on remote VM for reliable PR detection from git state
  • Health metrics in reasoning: fleet_health.py wired into SessionContext for admiral decisions
  • Unified status classifier: Single canonical classifier in _status.py (no dual TUI/CLI divergence)
  • Modular CLI: Commands split across _cli_session_ops.py, _cli_scout_advance.py, _cli_formatters.py (each under 400 LOC)
  • Project grouping: Scout report groups sessions by registered project with open objectives displayed

How to Run

Execute via Bash:

fleet <command> [options]

Presenting Results

After running fleet scout or fleet advance, present the output to the user as:

  1. Summary table — reformat the CLI output into a clean markdown table with columns: VM | Session | Status | Action | Conf | Summary
  2. Proposed inputs — for any send_input decisions, show what the admiral wants to send
  3. Follow-up commands — always end with the actionable next steps from the report:

- fleet advance to send next command to all sessions - fleet advance --confirm to review each before executing - fleet advance --session vm:session to advance one specific session - fleet watch <vm> <session> to inspect specific sessions

平台分布

Codex

34.55%
按下载量换算82

Claude

28.47%
按下载量换算67

Cursor

18.01%
按下载量换算43

Gemini CLI

9.1%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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