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vercel-labs/deepsec
默认分支 main · commit e3c8f05a · 扫描时间 2026/6/17 23:52:13
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下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 vercel-labs/deepsec 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
2 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Reposition the README H1 and opening sentence to highlight key differentiators
原因:
当前# deepsec `deepsec` an agent-powered vulnerability scanner that you can run in your own infrastructure, optimized to perform on-demand review of all code in existing large-scale repos.
复制粘贴的修复# deepsec: Agent-Powered, Self-Hosted Vulnerability Scanner for Large Codebases Deepsec is an advanced, agent-powered vulnerability scanner designed to run in your own infrastructure, optimized for deep security analysis of large, existing codebases.
- mediumreadme#2Add a 'How is Deepsec different?' section to the README
原因:
复制粘贴的修复## How is Deepsec different? Deepsec stands apart from traditional SAST tools like Semgrep or CodeQL by leveraging advanced AI agents for deep, contextual analysis. Unlike tools focused on pattern matching or rule-based detection, Deepsec is designed to surface hard-to-find, subtle vulnerabilities in large, existing codebases by simulating a human security expert's review process. It's optimized for self-hosted deployment, allowing you to run powerful, on-demand security reviews within your own infrastructure.
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- github/codeql · 被推荐 2 次
- returntocorp/semgrep · 被推荐 2 次
- GitHub Copilot Enterprise · 被推荐 1 次
- GitHub Advanced Security (GHAS) · 被推荐 1 次
- Semgrep Code · 被推荐 1 次
- 品类问题How to find subtle security vulnerabilities in large existing codebases using AI agents?你:未被推荐AI 推荐顺序:
- GitHub Copilot Enterprise
- GitHub Advanced Security (GHAS)
- CodeQL (github/codeql)
- Semgrep (returntocorp/semgrep)
- Semgrep Code
- DeepCode AI
- Snyk Code
- Veracode Static Analysis
- Checkmarx SAST
- OpenAI GPT-4
- Anthropic Claude
- CodeGuru Security
AI 推荐了 12 个替代方案,却始终没点名 vercel-labs/deepsec。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What are self-hosted AI-powered tools for deep security analysis of application code?你:未被推荐AI 推荐顺序:
- Semgrep OSS (returntocorp/semgrep)
- CodeQL (github/codeql)
- SonarQube (SonarSource/sonarqube)
- ShiftLeft CORE
- Fortify Static Code Analyzer (SCA)
- Checkmarx SAST (CxSAST)
AI 推荐了 6 个替代方案,却始终没点名 vercel-labs/deepsec。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of vercel-labs/deepsec?passAI 明确点名了 vercel-labs/deepsec
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts vercel-labs/deepsec in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 vercel-labs/deepsec
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo vercel-labs/deepsec solve, and who is the primary audience?passAI 明确点名了 vercel-labs/deepsec
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 vercel-labs/deepsec 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/vercel-labs/deepsec)<a href="https://repogeo.com/zh/r/vercel-labs/deepsec"><img src="https://repogeo.com/badge/vercel-labs/deepsec.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
vercel-labs/deepsec — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3