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Factory AI Droid

Name: Factory AI Droid
Author: mitchellbernstein

作者 mitchellbernstein · GitHub ↗ · v1.0.0

cross-platform ⚠ suspicious

2542

总下载

当前安装

版本数

在 OpenClaw 中安装

/install factory-ai

功能描述

Use Factory AI's droid CLI to interactively build, debug, refactor, review, and deploy code, with support for plugins, MCP servers, and multiple AI models.

使用说明 (SKILL.md)

Factory AI Droid CLI

Use droid to build features, debug, refactor, and deploy code.

Installation

Already installed at: /Users/mitchellbernstein/.local/bin/droid

Authentication

droid login
# or set FACTORY_API_KEY env var
export FACTORY_API_KEY=your-api-key

Commands

Interactive Mode

droid                           # Start fresh session
droid "fix the login bug"       # Start with prompt
droid -r                        # Resume last session
droid -r session-id             # Resume specific session

Non-Interactive (Exec Mode)

droid exec "analyze this file"
droid exec "commit my changes with a good message"
droid exec "deploy to fly.io"
droid exec --help               # Show exec options

Options for Exec

droid exec --force "fix lint errors"    # Auto-apply without confirmation
droid exec --json "analyze code"        # JSON output
droid exec --model claude "task"        # Specify model

MCP Servers

droid mcp list                    # List installed MCP servers
droid mcp add server-name         # Add MCP server
droid mcp remove server-name      # Remove MCP server

Plugins

droid plugin list                 # List plugins
droid plugin add name             # Add plugin

Usage Patterns

Feature Development

droid exec "add a user settings page with dark mode toggle"

Debugging

droid exec "fix this error: [paste error]"

Code Review

droid exec "review the PR for security issues"

Git Operations

droid exec "create a PR for my changes"
droid exec "write a good commit message for the staged changes"

Deployment

droid exec "deploy to fly.io"

Multi-file Changes

droid
# Then in interactive mode:
@src/components/
@src/api/
Implement authentication flow

Notes

Droid has deep codebase understanding across your org
Supports model flexibility (OpenAI, Anthropic, xAI, etc.)
MCP servers for extended capabilities
Session-based memory for context continuity

安全使用建议

This skill is basically an instruction sheet for a separate 'droid' CLI — it does not include or declare that CLI or the credentials it references. Before installing or using it: 1) Verify the provenance of the 'droid' CLI and inspect its binary/source — do not run it until you trust it. 2) Do not provide FACTORY_API_KEY or deploy credentials until the author explains what servers the CLI talks to and how data is handled. 3) Avoid adding MCP servers or plugins from unknown sources; those can forward code or secrets externally. 4) If you want to test, run the CLI in a sandbox or on a read-only copy of your repo and monitor network traffic. 5) Ask the skill author for a clear description, a declared list of required binaries/env vars, and where session data and network traffic are sent. These clarifications would raise confidence; until then treat the skill cautiously.

功能分析

Type: OpenClaw Skill Name: factory-ai Version: 1.0.0 The skill wraps a powerful `droid` CLI tool, which is described as having 'deep codebase understanding across your org' and capabilities for deployment, code modification, security reviews, and managing plugins and 'MCP servers'. While the `SKILL.md` instructions themselves are not explicitly malicious, the broad and high-privilege capabilities of the `droid` tool it exposes, combined with the fact that the binary is externally managed and pre-installed (as indicated in SKILL.md), present a significant risk. This setup could be leveraged for malicious activities if the `droid` binary itself were compromised or if the AI agent were later prompted to misuse its extensive capabilities.

能力评估

⚠ Purpose & Capability

The SKILL.md describes using a third‑party 'droid' CLI to perform code changes, commits, PRs, and deployments. The top-level registry metadata lists no required binaries or env vars, but the SKILL.md metadata and examples require the 'droid' binary and mention FACTORY_API_KEY and deployment targets (fly.io). That mismatch (undeclared binary/env requirements and a missing description) is unexplained and disproportionate to an instruction-only wrapper.

⚠ Instruction Scope

Runtime instructions tell the agent to run 'droid' commands that operate on the codebase (multi-file edits, commit/PR generation, deploy) and to add MCP servers and plugins. The skill text does not constrain where data is sent or how sessions are stored; adding MCP servers or plugins could direct code and secrets to arbitrary external servers. The SKILL.md also contains a hard-coded local install path (/Users/mitchellbernstein/...), suggesting leftover local artifacts rather than a vetted, general instruction set.

✓ Install Mechanism

There is no install spec and no code files — the skill is instruction-only, so it does not write files or pull arbitrary archives. This is lower-risk from an installation perspective. Note: the README's claim that 'droid' is already installed at a specific user path is a suspicious local artifact but not an install mechanism.

⚠ Credentials

The instructions explicitly reference FACTORY_API_KEY and a 'droid login' flow and imply other credentials may be required for deploy targets (e.g., fly.io), but the registry metadata declares no required environment variables or primary credential. Requesting API keys and enabling deployment without declaring or justifying those secrets is disproportionate and unexplained.

ℹ Persistence & Privilege

The skill does not request always:true and does not declare config path access. However, the ability it exposes to add MCP servers and plugins (via the 'droid' tool) could expand system reach or persistence outside the agent, depending on how the droid CLI manages plugins/servers. This is a capability-level risk rather than an explicit metadata claim by the skill.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install factory-ai
安装完成后，直接呼叫该 Skill 的名称或使用 /factory-ai 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of Factory AI skill for software engineering automation. - Provides droid CLI for building, debugging, refactoring, and deploying code. - Supports both interactive and exec (non-interactive) command modes. - Includes features for MCP server management and plugin extensibility. - Enables authentication via CLI login or API key environment variable. - Offers flexible model selection and session-based memory for context. - Includes command examples for feature development, debugging, code review, and deployment.

元数据

Slug factory-ai

版本 1.0.0

许可证 —

累计安装 5

当前安装数 5

历史版本数 1

常见问题

Factory AI Droid 是什么？

Use Factory AI's droid CLI to interactively build, debug, refactor, review, and deploy code, with support for plugins, MCP servers, and multiple AI models. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2542 次。

如何安装 Factory AI Droid？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install factory-ai」即可一键安装，无需额外配置。

Factory AI Droid 是免费的吗？

是的，Factory AI Droid 完全免费（开源免费），可自由下载、安装和使用。

Factory AI Droid 支持哪些平台？

Factory AI Droid 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Factory AI Droid？

由 mitchellbernstein（@mitchellbernstein）开发并维护，当前版本 v1.0.0。