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agent-hiveAgent 蜂巢

Agent Skill

agent-hive 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

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下载量

4,815
OpenClaw

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

MIT-0

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:agent-hive(Agent 蜂巢)
来源仓库:https://github.com/nissan/agent-hive
安装命令:
openclaw skills install agent-hive
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install agent-hive

简介

支持多代理团队的共享工作空间和预算管理。

  • 提供网状网络通信和分布式任务协调。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 适用于复杂协作型代理应用场景。agent-hive 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,需配置团队权限和通信协议。
  • 建议制定明确的分工规则和冲突解决机制。

SKILL.md

name
agent-hive
version
1.0.2
description
Create and manage multi-agent teams in OpenClaw with shared workspace, budget governance, and mesh networking. Use when: (1) adding a new agent to an existing team, (2) setting up a multi-agent workspace from scratch, (3) configuring agent-to-agent spawn permissions (mesh/hub-spoke), (4) implementing budget governance for agent teams, (5) auditing agent spend and enforcing demotions. NOT for: single-agent setups or modifying agent personalities (edit SOUL.md directly).
metadata
version
1.0.0
openclaw
requires
bins
[]
env
[]
network
outbound
[]
primaryEnv

Last used: 2026-03-24 Memory references: 2 Status: Active

Agent Hive

Create and manage multi-agent teams with shared memory, budget governance, and configurable spawn permissions.

Architecture

Main Workspace (~/.openclaw/workspace/)
├── MEMORY.md, TOOLS.md, USER.md, IDENTITY.md   ← shared brain (real files)
├── agents/<name>/                                ← per-agent outbox, inbox, budget
├── agents/governance/                            ← governance rules + audit log
├── memory/, projects/, scripts/, skills/         ← shared resources
└── content/                                      ← shared content

Agent Workspace (~/.openclaw/workspace-<id>/)
├── SOUL.md              ← unique personality (local file)
├── AGENTS.md            ← unique instructions (local file)
├── HEARTBEAT.md         ← agent-specific heartbeat (local file)
├── .openclaw/           ← agent-specific config dir
└── everything else      ← SYMLINKS to main workspace

Adding a New Agent

Step 1: Create workspace with symlinks

AGENT_ID="<id>"
MAIN="$HOME/.openclaw/workspace"
WS="$HOME/.openclaw/workspace-$AGENT_ID"

mkdir -p "$WS/.openclaw"

# Symlink shared brain
for f in .learnings IDENTITY.md MEMORY.md ROADMAP.md TOOLS.md USER.md; do
  ln -sf "../workspace/$f" "$WS/$f"
done
for d in agents content memory projects scripts skills; do
  ln -sf "../workspace/$d" "$WS/$d"
done

Step 2: Create unique files

Create $WS/SOUL.md — the agent's personality. This is theirs alone.

Create $WS/AGENTS.md — agent-specific instructions. Must include:

  • Session startup checklist (read SOUL.md, check BUDGET.json, check INBOX.md)
  • Communication rules (INBOX/OUTBOX pattern)
  • What the agent does and doesn't do
  • Budget rules section (see references/budget-rules.md)

Create $WS/HEARTBEAT.md — minimal heartbeat config.

Step 3: Create agent directory in shared workspace

mkdir -p "$MAIN/agents/$AGENT_ID"
touch "$MAIN/agents/$AGENT_ID/INBOX.md"
touch "$MAIN/agents/$AGENT_ID/OUTBOX.md"

Step 4: Create budget file

Copy scripts/create_budget.sh output or create manually:

{
  "daily_limit_output_tokens": 50000,
  "today": "YYYY-MM-DD",
  "used_output_tokens": 0,
  "spawns": [],
  "status": "active",
  "warnings": [],
  "consecutive_overbudget_days": 0
}

Save to $MAIN/agents/$AGENT_ID/BUDGET.json.

Step 5: Register in openclaw.json

Add to agents.list[]:

{
  "id": "<id>",
  "name": "<Name>",
  "workspace": "/absolute/path/to/workspace-<id>",
  "identity": { "name": "<Name>", "emoji": "<emoji>" },
  "model": {
    "primary": "anthropic/claude-sonnet-4-6",
    "fallbacks": ["<fallback-model-1>", "<fallback-model-2>"]
  },
  "subagents": { "allowAgents": ["<peer1>", "<peer2>"] }
}

Update existing agents' allowAgents to include the new agent.

Step 6: Validate and restart

python3 -c "import json; json.load(open('$HOME/.openclaw/openclaw.json')); print('JSON valid')"
openclaw doctor  # check for schema errors
launchctl stop ai.openclaw.gateway && sleep 2 && launchctl start ai.openclaw.gateway

Wait 15 seconds before testing.

Spawn Permission Models

Hub-and-spoke (conservative)

Only the orchestrator (main) can spawn agents. Agents route requests through OUTBOX.

"subagents": { "allowAgents": [] }  // for all non-main agents

Full mesh with budget (recommended)

All agents can spawn peers. Budget governance prevents abuse.

// Each agent can spawn all peers (not themselves)
"subagents": { "allowAgents": ["<all other agent ids>"] }

Earned mesh (progressive trust)

Start hub-and-spoke. Promote to mesh after demonstrating budget responsibility. Demote back to hub-and-spoke after repeated overspend.

Budget Governance

See references/governance.md for the full framework.

Run the audit script on heartbeat:

python3 scripts/budget_audit.py

Thresholds: Green (<80%), Yellow (80-100%), Red (>100%), Emergency demotion (>200%). 3 consecutive overbudget days → automatic demotion (mesh privileges revoked).

Add step 4.5 to your HEARTBEAT.md — see references/heartbeat-snippet.md.

Committee Pattern

For project work, compose agent committees:

  1. Identify which agents are needed (e.g., content + marketing + design review)
  2. Spawn them in parallel with clear, scoped tasks
  3. Each writes to their OUTBOX.md
  4. Orchestrator collects results and synthesizes
  5. Budget tracked per-agent across the project

Verification Checklist

After adding an agent, verify:

  • [ ] workspace-<id>/ has SOUL.md + AGENTS.md as local files
  • [ ] All other files are symlinks to main workspace
  • [ ] agents/<id>/BUDGET.json exists with correct schema
  • [ ] Agent appears in openclaw doctor output
  • [ ] Gateway restarts without errors
  • [ ] Agent can be spawned: sessions_spawn(agentId="<id>", task="Say hello")
  • [ ] Budget audit includes the new agent: python3 scripts/budget_audit.py

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

89.82%
按下载量换算4,325

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权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install agent-hive 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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