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Agent Repo Init

ASecurity

Bootstraps a new multi-agent repository from the RepoBrain template via `init_agent_repo`. Supports quick scaffold and full runtime profile setup including MCP toggle, swarm preference, sandbox type, and optional git init. LLM configuration is handled later by rb-setup.

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  • Added September 5, 2026
ai-agentsgit

Works with

  • mcp

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 5, 2026

npx -y skills add study8677/repobrain --skill agent-repo-init --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: agent-repo-init
description: Bootstraps a new multi-agent repository from the RepoBrain template via `init_agent_repo`. Supports quick scaffold and full runtime profile setup including MCP toggle, swarm preference, sandbox type, and optional git init. LLM configuration is handled later by rb-setup.
---

# Agent Repo Init Skill

This skill bootstraps a new multi-agent repository from the RepoBrain template.

## Usage
When asked to initialize a fresh repository from this template, call `init_agent_repo`.

## Modes
- `quick`: Fast clean scaffold.
- `full`: Quick scaffold plus runtime profile setup (`.env`, mission, context profile, and init report).

## Capabilities
- `init_agent_repo(project_name, destination_root=".", mode="quick", enable_mcp=False, enable_swarm=True, sandbox_runtime="local", init_git=False) -> dict`

## Notes
- The destination is created as `<destination_root>/<project_name>`.
- The destination must be outside the current template repository path.
- For `full` mode, review `.context/agent_runtime_profile.md` after generation.
- Run `/rb-setup` in the generated project to choose and write the LLM endpoint.

Files in this skill

  • SKILL.md1.1 KB
  • tools.py1.5 KB

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