用于GitHub开源项目商业化分析并生成HTML机会报告的Codex技能
该技能专为Codex AI Agent设计，旨在自动分析GitHub上的开源项目，评估其商业化潜力。它通过扫描仓库的指标（如星标数、分叉数、贡献者活跃度）以及项目许可证、社区健康度等维度，生成结构化的HTML报告，突出显示市场机会、竞争格局和潜在收入路径。该报告可作为开发者和投资者快速评估项目商业价值的参考。此技能无需额外API密钥，直接利用GitHub公共数据，非常适合在CI/CD管道或本地开发环境中作为代码分析与决策支持工具使用。
npx skills add Shark-Overlord/github-commercial-analysis-skillInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
用于GitHub开源项目商业化分析并生成HTML机会报告的Codex技能。
该技能自动分析GitHub开源仓库的商业化潜力，生成包含市场机会、竞争分析和收入建议的HTML报告。
codex run --skill github-commercial-analysis --repo https://github.com/example/project
生成的HTML报告将包含以下部分：
此技能遵循MIT许可证。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.