REPOGEO 报告 · LITE
qualifire-dev/rogue
默认分支 main · commit e1c5b563 · 扫描时间 2026/5/25 13:41:24
星标 1,024 · Fork 161
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 qualifire-dev/rogue 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#1Add explicit positioning and counter false claims in README
原因:
当前# Rogue — AI Agent Evaluator & Red Team Platform <div align="center"> <a href="https://trendshift.io/repositories/15191" target="_blank"></a> **Stress-test your AI agents before attackers do.**
复制粘贴的修复# Rogue — AI Agent Evaluator & Red Team Platform <div align="center"> <a href="https://trendshift.io/repositories/15191" target="_blank"></a> **Stress-test your AI agents before attackers do.** **Rogue is a dedicated platform for evaluating and red teaming AI agents, not a general-purpose Go web framework.** It provides robust tools for ensuring your AI agents are secure, compliant, and performant in production environments.
- mediumreadme#2Add a 'Why Rogue?' or 'Comparison' section to the README
原因:
复制粘贴的修复## Why Rogue? Unlike general-purpose LLM frameworks or basic evaluation scripts, Rogue is purpose-built for comprehensive AI agent security and compliance. It offers integrated red teaming with 75+ vulnerabilities and 8 compliance frameworks, alongside automatic policy-based evaluation, providing a holistic platform for hardening your agents against both business risks and adversarial attacks.
- lowreadme#3Clarify the project's license in the README
原因:
复制粘贴的修复## License This project is licensed under [insert specific license name(s) here, e.g., 'a custom license combining Apache 2.0 and MIT terms']. See the [LICENSE file](./LICENSE) for full details.
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。
- langchain-ai/langchain · 被推荐 1 次
- LangSmith · 被推荐 1 次
- openai/evals · 被推荐 1 次
- Scale AI · 被推荐 1 次
- Appen · 被推荐 1 次
- 品类问题How to evaluate AI agent behavior and ensure compliance with predefined business policies?你:未被推荐AI 推荐顺序:
- LangChain (langchain-ai/langchain)
- LangSmith
- OpenAI Evals (openai/evals)
- Scale AI
- Appen
- W&B Prompts (wandb/wandb)
- Elasticsearch (elastic/elasticsearch)
- Logstash (elastic/logstash)
- Kibana (elastic/kibana)
- Splunk
- Guardrails AI (guardrails-ai/guardrails)
- Ragas (explodinggradients/ragas)
AI 推荐了 12 个替代方案,却始终没点名 qualifire-dev/rogue。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What are the best tools for red teaming LLM agents to uncover adversarial security vulnerabilities?你:未被推荐AI 推荐顺序:
- Garak
- LLM-Defender
- Adversarial GLUE
- PromptInject
- OWASP Top 10 for LLM Applications
- Red Teaming Toolkit for LLMs
- LangChain
- LlamaIndex
AI 推荐了 8 个替代方案,却始终没点名 qualifire-dev/rogue。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 completenesspass
- 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 qualifire-dev/rogue?passAI 明确点名了 qualifire-dev/rogue
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 qualifire-dev/rogue in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 qualifire-dev/rogue
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 qualifire-dev/rogue solve, and who is the primary audience?passAI 明确点名了 qualifire-dev/rogue
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 qualifire-dev/rogue 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/qualifire-dev/rogue)<a href="https://repogeo.com/zh/r/qualifire-dev/rogue"><img src="https://repogeo.com/badge/qualifire-dev/rogue.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
qualifire-dev/rogue — 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