How do I install the Cerberus Agent Foundry skill?

Run npx skillmds@latest add modbender/cerberus-agent-foundry in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Cerberus Agent Foundry safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Cerberus Agent Foundry?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Cerberus Agent Foundry free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Cerberus Agent Foundry?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Cerberus Agent Foundry by modbender

Name: Cerberus Agent Foundry
Rating: 4.2 (5 reviews)
Author: modbender

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.

modbender Updated Sep 9, 2026 12 repo stars

File contents

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

Install blueprint into target path:
- bash scripts/install_blueprint.sh /path/to/your/system
Verify task board:
- python3 /path/to/your/system/scripts/taskctl.py list
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)

Never use shared agent workspaces.
Use only control-plane/mailbox for agent-to-agent messaging.
Team Lead is sole mailbox garbage-collection authority.
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.

---name: cerberus-agent-foundrydescription: 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.--- # 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.

Frequently asked questions