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Dark Factory Skill

作者 csbenson001 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install dark-factory-skill
功能描述
Manage multiple SaaS startups simultaneously with CEO-driven orchestration, product agents, ChatDev code generation, and a 3-Gate BUILD, TEST, JUDGE pipeline.
使用说明 (SKILL.md)

Dark Factory Multi-Agent Startup Platform

Run multiple SaaS startups in parallel using specialized OpenClaw agents, a CEO orchestrator, and ChatDev-powered code generation. Based on Chris Benson's L4.1 Dark Factory architecture.

What This Skill Installs

A complete multi-agent startup operating system with:

  • CEO/orchestrator agent that routes work across product agents
  • Per-product agents (pre-configured for VerdictLegal, Surfaced, SayfeAI, CashPing)
  • 3-Gate Pipeline enforcement: BUILD -> TEST -> JUDGE
  • L6 continuous improvement engine
  • ChatDev integration for multi-agent code generation

Architecture (The Factory Floor Analogy)

Think of this like a real startup factory:

  • The CEO agent is the plant manager — decides what gets built and when
  • Product agents are specialized assembly lines — each knows its product deeply
  • ChatDev is the robotic assembly arm — multi-agent code generation
  • The 3-Gate Pipeline is quality control — nothing ships without passing all 3 gates

Usage

After installing, configure your products in DARK_FACTORY.md:

  1. Run CEO agent for strategic prioritization
  2. CEO routes spec to the right product agent
  3. Product agent runs ChatDev for BUILD gate
  4. Independent TEST gate validates against spec scenarios
  5. JUDGE gate scores 8 dimensions — SHIP if avg >= 4.0

3-Gate Pipeline

Gate 1: BUILD — Implements from spec. Uses SDD scenarios as acceptance criteria. Gate 2: TEST — Independent QA validates. Real data. Screenshots as evidence. Grades A-F.
Gate 3: JUDGE — Sees spec + test results only (never code). 8 dimensions. SHIP or ITERATE.

Decision Hierarchy

Strategy > Specifications > Validation > Selling > Building > Debugging

If your agent is debugging instead of strategizing, this skill will push it back up.

L6 Self-Improvement Engine

Four feedback loops that make the factory smarter every day:

  1. Weekly Retrospective (Sundays 9PM)
  2. Post-Build Learning (every ITERATE/REJECT logs root cause)
  3. Competitive Reprioritization (daily intel updates build queue)
  4. Tester → Builder Direct Feedback (closes the knowledge gap)

Requirements

  • OpenClaw with multiple agent support
  • Claude API key (Anthropic)
  • ChatDev (auto-cloned on setup): github.com/OpenBMB/ChatDev
  • Product repositories configured in workspace

Setup

  1. Install this skill: npx clawhub@latest install dark-factory
  2. Configure DARK_FACTORY.md with your products
  3. Run setup script: bash scripts/setup-dark-factory-v2.sh
  4. Launch CEO agent and describe your product portfolio

License

MIT

安全使用建议
This skill's description and its runtime instructions don't match the registry metadata. Before installing: 1) ask the publisher for a complete install spec and an explicit list of required environment variables (e.g., Claude API key) and repository access needs; 2) inspect the actual scripts that 'npx clawhub' and 'scripts/setup-dark-factory-v2.sh' would run — don't run remote install commands without reviewing them; 3) avoid using sensitive production data during initial setup/testing and use dedicated test accounts; 4) prefer an implementation that declares its required credentials and provides reproducible, auditable install artifacts (tagged GitHub releases or a registry-stored package) rather than opaque npx/git cloning. If the publisher cannot provide clear, reviewable code and declared credentials, treat this skill as risky and consider not installing it.
功能分析
Type: OpenClaw Skill Name: dark-factory-skill Version: 1.0.0 The skill bundle contains metadata and documentation for a multi-agent orchestration framework called 'Dark Factory.' The SKILL.md file defines personas (CEO, Product Agents) and a structured '3-Gate Pipeline' (Build, Test, Judge) for software development. While it references an external setup script (scripts/setup-dark-factory-v2.sh) and the legitimate ChatDev GitHub repository, the provided files contain no malicious code, data exfiltration logic, or harmful prompt injection instructions.
能力评估
Purpose & Capability
The SKILL.md describes a complex multi-agent 'factory' that requires an Anthropic (Claude) API key, ChatDev cloning, product repos, and a setup script, but the registry metadata lists no required env vars, no config paths, and no install spec. Requiring a Claude API key and multiple product repositories is consistent with the described purpose, but those requirements are missing from the declared metadata — an incoherence.
Instruction Scope
Runtime instructions tell the agent/user to run 'npx clawhub@latest install dark-factory', execute 'bash scripts/setup-dark-factory-v2.sh', and auto-clone github.com/OpenBMB/ChatDev. Those steps will fetch and run remote code and expect workspace product repos and real data/screenshots. The SKILL.md grants broad operational scope (build/test/judge loops, scheduled retrospectives) without limiting what files or secrets may be accessed during setup or execution.
Install Mechanism
There is no formal install spec in the registry, but SKILL.md instructs use of npx (which downloads and executes code from npm) and cloning a GitHub repository. That implies running arbitrary third-party code during setup; because the registry does not vet or declare these artifacts, the install mechanism is higher risk and opaque.
Credentials
The instructions explicitly require a Claude API key and product repositories, but the skill metadata declares no required env vars or primary credential. This mismatch is problematic: the skill will likely need credentials and repo access to function, yet none are declared for review. The SKILL.md's instruction to use 'real data' for testing also raises potential data exposure concerns.
Persistence & Privilege
always is false (good) and autonomous invocation is allowed (platform default). The skill describes scheduled/continuous processes (weekly retrospectives, L6 engine) which imply persistent activity, but no explicit 'always' privilege is requested. This combination is noteworthy but not by itself a high privilege escalation.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install dark-factory-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /dark-factory-skill 触发
  4. 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 Dark Factory Multi-Agent Startup Platform. - Enables parallel SaaS startup development using specialized agents and a CEO orchestrator - Implements a 3-Gate Pipeline: BUILD, TEST, JUDGE for robust quality control - Integrates ChatDev for automated, multi-agent code generation - Includes L6 continuous self-improvement with several feedback loops - Supports quick setup with OpenClaw and configurable product agents
元数据
Slug dark-factory-skill
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Dark Factory Skill 是什么?

Manage multiple SaaS startups simultaneously with CEO-driven orchestration, product agents, ChatDev code generation, and a 3-Gate BUILD, TEST, JUDGE pipeline. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 84 次。

如何安装 Dark Factory Skill?

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

Dark Factory Skill 是免费的吗?

是的,Dark Factory Skill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Dark Factory Skill 支持哪些平台?

Dark Factory Skill 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 Dark Factory Skill?

由 csbenson001(@csbenson001)开发并维护,当前版本 v1.0.0。

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