Doctor Agent安全吗?
Doctor Agent — Nerq Trust Score 54.4/100 (D级). 基于5 independent trust signals的评分。
Doctor Agent 是一个software tool Nerq 信任分数 54.4/100(D), 基于5个独立数据维度. 安全: 0/100. 维护: 1/100. 人气度: 0/100. 数据来源于多个公共来源,包括包注册表、GitHub、NVD、OSV.dev和OpenSSF Scorecard。最后更新:n/a。 机器可读数据(JSON).
Doctor Agent安全吗?
信任评分详情 — Doctor Agent has a Nerq Trust Score of 54.4/100 (D). Measured across 5 independent trust signals.
Doctor Agent的信任评分是多少?
Doctor Agent 的 Nerq 信任分数为 54.4/100,等级为 D。该分数基于 5 个独立测量的维度,包括安全性、维护和社区采用。
Doctor Agent的主要安全发现是什么?
Doctor Agent 最强的信号是 合规性,为 100/100。 未检测到已知漏洞。
Doctor Agent是什么,谁在维护它?
| 开发者 | souptikmaiti |
| 类别 | Health |
| 来源 | https://github.com/souptikmaiti/doctor-agent |
| Frameworks | langchain |
| Protocols | rest |
合规性
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| 管辖权s | Assessed across 52 司法管辖区s |
health中的热门替代品
What Is Doctor Agent?
Doctor Agent is a software tool in the health category: A LangGraph-based AI agent for finding doctors in India.. Nerq Trust Score: 54/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 安全性 vulnerabilities, 维护 activity, license 合规性, and 社区采用.
How Nerq Assesses Doctor Agent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 维度. Here is how Doctor Agent performs in each:
- 安全性 (0/100): Doctor Agent's 安全性 posture is poor. This score factors in known CVEs, dependency vulnerabilities, 安全性 policy presence, and code signing practices.
- 维护 (1/100): Doctor Agent is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API 文档, usage examples, and contribution guidelines.
- Compliance (100/100): Doctor Agent is broadly compliant. Assessed against regulations in 52 司法管辖区s including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. 基于 GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 54.4/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates Doctor Agent?
Doctor Agent is commonly evaluated by:
- Developers and teams working with health tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Doctor Agent's measured signals (安全性 0/100, 维护 1/100, 文档 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
How to Verify Doctor Agent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — 查看 repository's 安全性 policy, open issues, and recent commits for signs of active 维护.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Doctor Agent's dependency tree. - 评论 permissions — Understand what access Doctor Agent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Doctor Agent in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=doctor-agent - 查看 license — Confirm that Doctor Agent's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses 安全性 concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Doctor Agent
When evaluating whether Doctor Agent is safe, consider these category-specific risks:
Understand how Doctor Agent processes, stores, and transmits your data. 查看 tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Doctor Agent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.
Regularly check for updates to Doctor Agent. 安全性 patches and bug fixes are only effective if you're running the latest version.
If Doctor Agent connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Doctor Agent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Doctor Agent in violation of its license can expose your organization to legal liability.
Doctor Agent and the EU AI Act
Doctor Agent is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's 合规性 assessment covers 52 司法管辖区s worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal 合规性.
Best Practices for Using Doctor Agent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Doctor Agent while minimizing risk:
Periodically review how Doctor Agent is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.
Ensure Doctor Agent and all its dependencies are running the latest stable versions to benefit from 安全性 patches.
Grant Doctor Agent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Doctor Agent's 安全性 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Doctor Agent is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant 独立 Review of Doctor Agent
Nerq's signals are one input. In the following situations, evaluate Doctor Agent's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Doctor Agent's measured trust score of 54.4/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Doctor Agent is suitable for any particular use.
How Doctor Agent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among health tools, the average Trust Score is 62/100. Doctor Agent's score of 54.4/100 is near the category average of 62/100.
This places Doctor Agent in line with the typical health tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks 中等 in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Trust Score History
Nerq continuously monitors Doctor Agent and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or 维护 patterns change, Doctor Agent's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to 安全性 and quality. Conversely, a downward trend may signal reduced 维护, growing technical debt, or unresolved vulnerabilities. To track Doctor Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=doctor-agent&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — 安全性, 维护, 文档, 合规性, and community — has evolved independently, providing granular visibility into which aspects of Doctor Agent are strengthening or weakening over time.
Doctor Agent vs 替代品
In the health category, Doctor Agent scores 54.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Doctor Agent vs MedicalGPT — Trust Score: 52.2/100
- Doctor Agent vs open-health — Trust Score: 52.2/100
- Doctor Agent vs Awesome-AI4Med — Trust Score: 50.2/100
主要结论
- Doctor Agent has a measured Nerq Trust Score of 54.4/100 (D) — a composite of independent signals, not a suitability judgment.
- Among health tools, Doctor Agent scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — 安全性, 维护, 文档, 合规性, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
常见问题
Doctor Agent安全吗?
Doctor Agent的信任评分是多少?
Doctor Agent有哪些更安全的替代品?
Doctor Agent的安全评分多久更新一次?
我可以在受监管的环境中使用Doctor Agent吗?
另请参阅
Disclaimer: Nerq 信任评分是基于公开信号的自动评估。它们不构成建议或保证。请始终进行自己的验证。