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Agent Skill · 研究检索

mission-control(任务控制)

mission-control 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。

mission-control 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 63,559。

总安装 315周安装 13GitHub Stars 4,385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:mission-control(任务控制)
来源仓库:https://github.com/builderz-labs/mission-control
仓库路径:skills/mission-control
安装命令:
npx skills add https://github.com/builderz-labs/mission-control --skill mission-control
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/builderz-labs/mission-control --skill mission-control

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。

mission-control 是一个 AI 智能体编排仪表盘,支持实时通信与技能注册管理。适用于需要集中管控多个智能体、实现任务分发和状态监控的场景。通过 API 调用注册适配器并发送心跳信号,建立与 Mission Control 服务的连接。需配置正确的 API 密钥和主机地址,注意权限控制和网络连通性要求。

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/mission-control

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/builderz-labs/mission-control --skill mission-…;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

mission-control 怎么安装?

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

mission-control 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。

mission-control 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。

mission-control 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。

mission-control 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,GitHub 4,385 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。

mission-control 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。
  • 来源仓库有 4,385 星,维护活跃度相对可查。

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
mission-control

任务控制 · 本页

3154,385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

Mission Control Agent Skill

Mission Control (MC) is an AI agent orchestration dashboard with real-time SSE/WebSocket, a skill registry, framework adapters, and RBAC. This skill teaches agents how to interact with MC APIs programmatically.

Quick Start

Base URL: http://localhost:3000 (default Next.js dev) or your deployed host.

Auth header: x-api-key: <your-api-key>

Register + heartbeat in two calls:

# 1. Register
curl -X POST http://localhost:3000/api/adapters \
  -H "Content-Type: application/json" \
  -H "x-api-key: $MC_API_KEY" \
  -d '{
    "framework": "generic",
    "action": "register",
    "payload": { "agentId": "my-agent-01", "name": "My Agent" }
  }'

# 2. Heartbeat (repeat every 5 minutes)
curl -X POST http://localhost:3000/api/adapters \
  -H "Content-Type: application/json" \
  -H "x-api-key: $MC_API_KEY" \
  -d '{
    "framework": "generic",
    "action": "heartbeat",
    "payload": { "agentId": "my-agent-01", "status": "online" }
  }'

Authentication

MC supports two auth methods:

MethodHeaderUse Case
API Keyx-api-key: <key> or Authorization: Bearer <key>Agents, scripts, CI/CD
Session cookieCookie: __Host-mc-session=<token> (HTTPS) or mc-session=<token> (HTTP)Browser UI

Roles (hierarchical): viewer < operator < admin

  • viewer — Read-only access (GET endpoints)
  • operator — Create/update agents, tasks, skills, use adapters
  • admin — Full access including user management

API key auth grants admin role by default. The key is set via API_KEY env var or the security.api_key DB setting.

Agents can identify themselves with the optional X-Agent-Name header for attribution in audit logs.

Agent Lifecycle

register → heartbeat (5m interval) → fetch assignments → report task status → disconnect

All lifecycle actions go through the adapter protocol (POST /api/adapters).

1. Register

{
  "framework": "generic",
  "action": "register",
  "payload": {
    "agentId": "my-agent-01",
    "name": "My Agent",
    "metadata": { "version": "1.0", "capabilities": ["code", "review"] }
  }
}

2. Heartbeat

Send every ~5 minutes to stay marked as online.

{
  "framework": "generic",
  "action": "heartbeat",
  "payload": {
    "agentId": "my-agent-01",
    "status": "online",
    "metrics": { "tasks_completed": 5, "uptime_seconds": 3600 }
  }
}

3. Fetch Assignments

Returns up to 5 pending tasks sorted by priority (critical → low), then due date.

{
  "framework": "generic",
  "action": "assignments",
  "payload": { "agentId": "my-agent-01" }
}

Response:

{
  "assignments": [
    { "taskId": "42", "description": "Fix login bug\nUsers cannot log in with SSO", "priority": 1 }
  ],
  "framework": "generic"
}

4. Report Task Progress

{
  "framework": "generic",
  "action": "report",
  "payload": {
    "taskId": "42",
    "agentId": "my-agent-01",
    "progress": 75,
    "status": "in_progress",
    "output": "Fixed SSO handler, running tests..."
  }
}

status values: in_progress, done, failed, blocked

5. Disconnect

{
  "framework": "generic",
  "action": "disconnect",
  "payload": { "agentId": "my-agent-01" }
}

Core API Reference

Agents — /api/agents

MethodMin RoleDescription
GETviewerList agents. Query: ?status=online&role=dev&limit=50&offset=0
POSToperatorCreate agent. Body: {name, role, status?, config?, template?, session_key?, soul_content?}
PUToperatorUpdate agent. Body: {name, status?, role?, config?, session_key?, soul_content?, last_activity?}

GET response shape:

{
  "agents": [{
    "id": 1, "name": "scout", "role": "researcher", "status": "online",
    "config": {}, "taskStats": { "total": 10, "assigned": 2, "in_progress": 1, "completed": 7 }
  }],
  "total": 1, "page": 1, "limit": 50
}

Tasks — /api/tasks

MethodMin RoleDescription
GETviewerList tasks. Query: ?status=in_progress&assigned_to=scout&priority=high&project_id=1&limit=50&offset=0
POSToperatorCreate task. Body: {title, description?, status?, priority?, assigned_to?, project_id?, tags?, metadata?, due_date?, estimated_hours?}
PUToperatorBulk status update. Body: {tasks: [{id, status}]}

Priority values: critical, high, medium, low

Status values: inbox, assigned, in_progress, review, done, failed, blocked, cancelled

Note: Moving a task to done via PUT requires an Aegis quality review approval.

POST response:

{
  "task": {
    "id": 42, "title": "Fix login bug", "status": "assigned",
    "priority": "high", "assigned_to": "scout", "ticket_ref": "GEN-001",
    "tags": ["bug"], "metadata": {}
  }
}

Skills — /api/skills

MethodMin RoleDescription
GETviewerList all skills across roots
GET ?mode=content&source=...&name=...viewerRead a skill's SKILL.md content
GET ?mode=check&source=...&name=...viewerRun security check on a skill
POSToperatorCreate/upsert skill. Body: {source, name, content}
PUToperatorUpdate skill content. Body: {source, name, content}
DELETE ?source=...&name=...operatorDelete a skill

Skill sources: user-agents, user-codex, project-agents, project-codex, openclaw

Status — /api/status

ActionMin RoleDescription
GET ?action=overviewviewerSystem status (uptime, memory, disk, sessions)
GET ?action=dashboardviewerAggregated dashboard data with DB stats
GET ?action=gatewayviewerGateway process status and port check
GET ?action=modelsviewerAvailable AI models (catalog + local Ollama)
GET ?action=healthviewerHealth checks (gateway, disk, memory)
GET ?action=capabilitiesviewerFeature flags: gateway reachable, Claude home, subscriptions

Adapters — /api/adapters

MethodMin RoleDescription
GETviewerList available framework adapter names
POSToperatorExecute adapter action (see Agent Lifecycle above)

Framework Adapter Protocol

All agent lifecycle operations use a single endpoint:

POST /api/adapters
Content-Type: application/json
x-api-key: <key>

{
  "framework": "<adapter-name>",
  "action": "<action>",
  "payload": { ... }
}

Available frameworks: generic, openclaw, crewai, langgraph, autogen, claude-sdk

Available actions: register, heartbeat, report, assignments, disconnect

All adapters implement the same FrameworkAdapter interface — choose the one matching your agent framework, or use generic as a universal fallback.

Payload shapes by action:

ActionRequired FieldsOptional Fields
registeragentId, namemetadata
heartbeatagentIdstatus, metrics
reporttaskId, agentIdprogress, status, output
assignmentsagentId—
disconnectagentId—

Environment Variables

VariableDefaultDescription
API_KEY—API key for agent/script authentication
OPENCLAW_GATEWAY_HOST127.0.0.1Gateway host address
OPENCLAW_GATEWAY_PORT18789Gateway port
OPENCLAW_STATE_DIR~/.openclawOpenClaw state directory
OPENCLAW_CONFIG_PATH<state-dir>/openclaw.jsonGateway config file path
MC_CLAUDE_HOME~/.claudeClaude home directory

Real-Time Events

MC broadcasts events via SSE (/api/events) and WebSocket. Key event types:

  • agent.created, agent.updated, agent.status_changed
  • task.created, task.updated, task.status_changed

Subscribe to SSE for live dashboard updates when building integrations.

平台分布

Codex

32.22%
按下载量换算33

Claude

31.63%
按下载量换算33

Cursor

17.73%
按下载量换算18

Gemini CLI

8.91%
按下载量换算9

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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