REPOGEO 报告 · LITE
derisk-ai/OpenDerisk
默认分支 main · commit 3194987c · 扫描时间 2026/6/13 19:51:46
星标 944 · Fork 127
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 derisk-ai/OpenDerisk 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
3 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 README opening to clarify open-source, AI-native, multi-agent focus
原因:
当前OpenDeRisk is an AI-Native Risk Intelligence System designed as your application system's intelligent manager, providing 7×24 hour comprehensive and in-depth protection.
复制粘贴的修复OpenDeRisk is an **open-source, AI-Native Risk Intelligence System** that leverages a **multi-agent architecture** to act as your application system's intelligent manager, providing 7×24 hour comprehensive and in-depth protection. Unlike traditional enterprise security platforms, OpenDeRisk offers a transparent, extensible framework for proactive risk identification and deep root cause analysis.
- mediumhomepage#2Add a homepage URL to the repository metadata
原因:
复制粘贴的修复https://[YOUR_PROJECT_WEBSITE_OR_REPO_URL_HERE]
- lowtopics#3Add more specific topics to improve categorization
原因:
当前agent, ai-sre, aigc, devops, mcp, multi-agent-systems, multi-agents-orchestration, rag, risk, rl, sre
复制粘贴的修复agent, ai-sre, aigc, devops, mcp, multi-agent-systems, multi-agents-orchestration, rag, risk, rl, sre, open-source, application-security, risk-intelligence, ai-security
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。
- Splunk Enterprise Security (ES) with Machine Learning Toolkit · 被推荐 1 次
- Elastic Security (formerly Elastic SIEM) with Machine Learning · 被推荐 1 次
- Microsoft Azure Sentinel with Azure Machine Learning · 被推荐 1 次
- Google Cloud Security Command Center (SCC) with Chronicle Security Operations · 被推荐 1 次
- IBM Security QRadar Advisor with Watson · 被推荐 1 次
- 品类问题How can I use AI to proactively identify and mitigate application system risks?你:未被推荐AI 推荐顺序:
- Splunk Enterprise Security (ES) with Machine Learning Toolkit
- Elastic Security (formerly Elastic SIEM) with Machine Learning
- Microsoft Azure Sentinel with Azure Machine Learning
- Google Cloud Security Command Center (SCC) with Chronicle Security Operations
- IBM Security QRadar Advisor with Watson
- CrowdStrike Falcon Platform (with Falcon Insight XDR and Falcon Fusion)
- Darktrace Enterprise Immune System
AI 推荐了 7 个替代方案,却始终没点名 derisk-ai/OpenDerisk。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What tools provide multi-agent SRE capabilities for deep root cause analysis across logs and traces?你:未被推荐AI 推荐顺序:
- Dynatrace
- New Relic One
- Datadog
- Splunk Observability Cloud
- Honeycomb
- Loki (grafana/loki)
- Tempo (grafana/tempo)
- Mimir (grafana/mimir)
- Prometheus (prometheus/prometheus)
- Grafana (grafana/grafana)
- Lightstep
AI 推荐了 11 个替代方案,却始终没点名 derisk-ai/OpenDerisk。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 derisk-ai/OpenDerisk?passAI 明确点名了 derisk-ai/OpenDerisk
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 derisk-ai/OpenDerisk in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 derisk-ai/OpenDerisk
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 derisk-ai/OpenDerisk solve, and who is the primary audience?passAI 明确点名了 derisk-ai/OpenDerisk
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 derisk-ai/OpenDerisk 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/derisk-ai/OpenDerisk)<a href="https://repogeo.com/zh/r/derisk-ai/OpenDerisk"><img src="https://repogeo.com/badge/derisk-ai/OpenDerisk.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
derisk-ai/OpenDerisk — 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