dev-factory-repoAutomates software development by discovering ideas from GitHub, CVEs, and news, generating code with ChatDev 2.0 agents, testing, self-correcting, and publi...
Install via ClawdBot CLI:
clawdbot install rebugui/dev-factory-repoGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://github.com/rebugui/OpenClaw.gitUses known external API (expected, informational)
api.github.comAI Analysis
The skill automates software development using external APIs (GitHub, GLM, Notion) which are consistent with its stated purpose of generating and publishing code. While it requires significant permissions (GitHub token, API keys) and accesses external resources, there is no evidence of hidden malicious instructions, credential harvesting, or data exfiltration beyond the declared functionality for code generation and repository management.
Generated Mar 21, 2026
This scenario involves automatically generating security tools like vulnerability scanners or file integrity monitors by analyzing CVE databases and security news. The agent discovers relevant vulnerabilities, designs and codes a tool using a 7-agent ChatDev team, and publishes it to GitHub, ideal for cybersecurity firms needing rapid prototyping.
In this scenario, the agent automates the development of DevOps utilities, such as configuration management or monitoring tools, by scanning GitHub Trending for popular projects. It generates code, runs tests, and deploys the utility to a GitHub repository, streamlining operations for IT and cloud teams.
This scenario focuses on creating open-source project prototypes by discovering trending ideas from GitHub and other sources. The agent uses ChatDev to collaboratively design, code, and test the project, then publishes it with documentation, useful for developers or startups launching new software initiatives.
Here, the agent generates educational tools or demos based on current trends in technology or security. It analyzes sources like security news to create interactive learning modules, automatically coding and testing them for use in training programs or academic settings.
Offer this agent as a cloud-based service where clients submit development requests, and the agent automatically generates and deploys tools to their GitHub accounts. Revenue comes from subscription fees based on usage or number of projects, targeting businesses needing custom automation solutions.
Provide consulting services to integrate this agent into clients' existing workflows, such as setting up Notion databases or configuring ChatDev for specific use cases. Revenue is generated through one-time setup fees and ongoing support contracts, ideal for enterprises with unique automation needs.
Create a marketplace where tools generated by the agent, like security scanners or DevOps utilities, are sold or licensed. Revenue comes from sales commissions or licensing fees, leveraging the agent's ability to produce multiple projects quickly for a broad user base.
💬 Integration Tip
Ensure all API keys for GLM, GitHub, and Notion are properly configured in the .env file, and verify the ChatDev server is running on the correct port before execution.
Scored Apr 19, 2026
Audited Apr 17, 2026 · audit v1.0
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Provides a 7-step debugging protocol plus language-specific commands to systematically identify, verify, and fix software bugs across multiple environments.