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cerberus-agent-foundry

Production-ready multi-agent architecture kit for OpenClaw. Provides isolated per-agent workspaces, control-plane orchestration, structured task lifecycle, checksum-verified mailbox messaging, and auditable event logs. Use when implementing Team Lead + specialist agents with secure boundaries, async collaboration, and operational governance.

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Installation

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Skill instructions

Cerberus Multi-Agent Control Plane

A professional blueprint for building, operating, and governing local multi-agent teams in OpenClaw. It ships a hardened protocol stack for role isolation, task orchestration, asynchronous handoffs, and auditability.

Quick Start

  1. Install blueprint into target path:
    • bash scripts/install_blueprint.sh /path/to/your/system
  2. Verify task board:
    • python3 /path/to/your/system/scripts/taskctl.py list
  3. Verify mailbox:
    • send: python3 /path/to/your/system/scripts/mailboxctl.py send --task-id TSK-000 --sender team-lead --receiver coder --correlation-id CORR-001 --body "ACK protocol"
    • ack: python3 /path/to/your/system/scripts/mailboxctl.py status --message-id MSG-0001 --to ACK --actor coder

What This Blueprint Provides

  • Strict workspace isolation per agent (agents/*/workspace)
  • Unified control plane (control-plane/tasks, control-plane/mailbox, control-plane/logs)
  • Task state machine tooling (taskctl.py)
  • Mailbox protocol tooling with checksum and GC (mailboxctl.py)
  • Shared memory layer under control plane (control-plane/shared-memory)

Core Rules (must enforce)

  1. Never use shared agent workspaces.
  2. Use only control-plane/mailbox for agent-to-agent messaging.
  3. Team Lead is sole mailbox garbage-collection authority.
  4. Deploy actions require explicit human approval artifacts.

References

  • Read references/operations-checklist.md for rollout and audit checks.
  • Read assets/blueprint/docs/protocol-v1.md for protocol details.

Source information

Source
github
Repository
openclaw/skills
Path
skills/delibrately-cmyk/cerberus-agent-foundry
Version
—
Commit
244164e7399a33bb5585059bdfcf1b10769bb683
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Cerberus Multi-Agent Control Plane

A professional blueprint for building, operating, and governing local multi-agent teams in OpenClaw. It ships a hardened protocol stack for role isolation, task orchestration, asynchronous handoffs, and auditability.

## Quick Start

1. Install blueprint into target path:
   - `bash scripts/install_blueprint.sh /path/to/your/system`
2. Verify task board:
   - `python3 /path/to/your/system/scripts/taskctl.py list`
3. Verify mailbox:
   - send: `python3 /path/to/your/system/scripts/mailboxctl.py send --task-id TSK-000 --sender team-lead --receiver coder --correlation-id CORR-001 --body "ACK protocol"`
   - ack: `python3 /path/to/your/system/scripts/mailboxctl.py status --message-id MSG-0001 --to ACK --actor coder`

## What This Blueprint Provides

- Strict workspace isolation per agent (`agents/*/workspace`)
- Unified control plane (`control-plane/tasks`, `control-plane/mailbox`, `control-plane/logs`)
- Task state machine tooling (`taskctl.py`)
- Mailbox protocol tooling with checksum and GC (`mailboxctl.py`)
- Shared memory layer under control plane (`control-plane/shared-memory`)

## Core Rules (must enforce)

1. Never use shared agent workspaces.
2. Use only `control-plane/mailbox` for agent-to-agent messaging.
3. Team Lead is sole mailbox garbage-collection authority.
4. Deploy actions require explicit human approval artifacts.

## References

- Read `references/operations-checklist.md` for rollout and audit checks.
- Read `assets/blueprint/docs/protocol-v1.md` for protocol details.

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