Sql Database Assistant安全吗?
Sql Database Assistant — Nerq 信任评分 43.4/100 (E级). 基于3个信任维度的分析,被评估为存在值得注意的安全问题。 最后更新:2026-04-01。
请对Sql Database Assistant保持警惕。 Sql Database Assistant is a software tool Nerq 信任评分为 43.4/100 (E), based on 3 independent data dimensions. 低于推荐阈值 70。 Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. 机器可读数据(JSON).
Sql Database Assistant安全吗?
否——请谨慎使用 — Sql Database Assistant Nerq 信任评分为 43.4/100 (E). 信任信号低于平均水平,在安全性、维护或文档方面存在重大缺口. 未经彻底手动审查和额外安全措施,不建议用于生产环境.
Sql Database Assistant的信任评分是多少?
Sql Database Assistant Nerq 信任评分为 43.4/100, earning a E grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.
Sql Database Assistant的主要安全发现是什么?
Sql Database Assistant's strongest signal is 维护 at 0/100. No 已知漏洞 have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Sql Database Assistant是什么,谁在维护它?
| 开发者 | https://github.com/sharansahu/mcp-sql |
| 类别 | data |
| 星标 | 1 |
| 来源 | https://github.com/sharansahu/mcp-sql |
data中的热门替代品
What Is Sql Database Assistant?
Sql Database Assistant is a software tool in the data category: Provides intelligent SQL querying capabilities across SQLite, MySQL, and Oracle databases.. It has 1 GitHub stars. Nerq 信任评分: 43/100 (E).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Sql Database Assistant's Safety
Nerq's 信任评分 is calculated from 13+ independent signals aggregated into five dimensions. Here is how Sql Database Assistant performs in each:
- 维护 (0/100): Sql Database Assistant is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall 信任评分 of 43.4/100 (E) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Sql Database Assistant?
Sql Database Assistant is designed for:
- Developers and teams working with data tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Sql Database Assistant. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Sql Database Assistant's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for 已知漏洞 in Sql Database Assistant's dependency tree. - 评论 permissions — Understand what access Sql Database Assistant requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Sql Database Assistant 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=SQL Database Assistant - 查看 license — Confirm that Sql Database Assistant'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Sql Database Assistant
When evaluating whether Sql Database Assistant is safe, consider these category-specific risks:
Understand how Sql Database Assistant processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Sql Database Assistant's dependency tree for 已知漏洞. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Sql Database Assistant. Security patches and bug fixes are only effective if you're running the latest version.
If Sql Database Assistant 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 Sql Database Assistant's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Sql Database Assistant in violation of its license can expose your organization to legal liability.
Best Practices for Using Sql Database Assistant Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Sql Database Assistant while minimizing risk:
Periodically review how Sql Database Assistant is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Sql Database Assistant and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Sql Database Assistant only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Sql Database Assistant's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Sql Database Assistant is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Sql Database Assistant?
Even promising tools aren't right for every situation. Consider avoiding Sql Database Assistant in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Sql Database Assistant的信任评分为 43.4/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Sql Database Assistant Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average 信任评分 is 62/100. Sql Database Assistant's score of 43.4/100 is below the category average of 62/100.
This suggests that Sql Database Assistant trails behind many comparable data tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate 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.
信任评分 History
Nerq continuously monitors Sql Database Assistant and recalculates its 信任评分 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 maintenance patterns change, Sql Database Assistant'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Sql Database Assistant's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=SQL Database Assistant&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Sql Database Assistant are strengthening or weakening over time.
Sql Database Assistant vs Alternatives
In the data category, Sql Database Assistant scores 43.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Sql Database Assistant vs firecrawl — 信任评分: 73.8/100
- Sql Database Assistant vs MinerU — 信任评分: 84.6/100
- Sql Database Assistant vs mindsdb — 信任评分: 77.5/100
主要结论
- Sql Database Assistant has a 信任评分 of 43.4/100 (E) and is not yet Nerq Verified.
- Sql Database Assistant has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among data tools, Sql Database Assistant scores below the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
常见问题
Sql Database Assistant可以安全使用吗?
Sql Database Assistant's trust score是什么?
Sql Database Assistant有哪些更安全的替代品?
How often is Sql Database Assistant's safety score updated?
我可以在受监管环境中使用Sql Database Assistant吗?
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。