# agentwolf

> agentwolf — percivallin-agentwolf. Use this tool when you need to manage complex workflows and collaborate with virtual engineering teams, as it provides a runtime environment with workflow gates, global memory, and traceable ChangeSets, integrating with git for version control and streamlined project management. It solves problems of workflow coordination, data consistency, and change tracking, making it ideal for large-scale engineering projects. Inputs include workflow definitions and project data, while outputs include executed workflows and change histories.

Canonical page: https://skillsregistry.net/skills/percivallin-agentwolf  
JSON: https://api.skillsregistry.net/v1/skills/percivallin-agentwolf

## Description

Agent-neutral MCP runtime for virtual engineering teams with workflow gates, global memory, and traceable ChangeSets.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PercivalLin/agentwolf)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "percivallin-agentwolf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/percivallin-agentwolf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/percivallin-agentwolf/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt