Openfrog có an toàn không?
Openfrog — Nerq Trust Score 64.6/100 (Hạng C). Dựa trên phân tích 5 chiều tin cậy, được đánh giá là nhìn chung an toàn nhưng có một số lo ngại. Cập nhật lần cuối: 2026-05-03.
Sử dụng Openfrog một cách thận trọng. Openfrog là một software tool với Điểm tin cậy Nerq 64.6/100 (C), dựa trên 5 chiều dữ liệu độc lập. Dưới ngưỡng xác minh Nerq Bảo mật: 0/100. Bảo trì: 1/100. Độ phổ biến: 0/100. Dữ liệu từ nhiều nguồn công khai bao gồm registry gói, GitHub, NVD, OSV.dev và OpenSSF Scorecard. Cập nhật lần cuối: 2026-05-03. Dữ liệu máy đọc được (JSON).
Openfrog có an toàn không?
CAUTION — Openfrog has a Nerq Trust Score of 64.6/100 (C). Có tín hiệu tin cậy vừa phải nhưng có một số vấn đề cần chú ý that warrant attention. Suitable for development use — review bảo mật and bảo trì signals before production deployment.
Điểm tin cậy của Openfrog là bao nhiêu?
Openfrog có Điểm tin cậy Nerq là 64.6/100 với xếp hạng C. Điểm này dựa trên 5 chiều dữ liệu được đo lường độc lập bao gồm bảo mật, bảo trì và sự chấp nhận của cộng đồng.
Các phát hiện bảo mật chính của Openfrog là gì?
Tín hiệu mạnh nhất của Openfrog là tuân thủ ở mức 100/100. Không phát hiện lỗ hổng đã biết. Chưa đạt ngưỡng xác minh Nerq 70+.
Openfrog là gì và ai duy trì nó?
| Nhà phát triển | xuwenhao |
| Danh mục | Coding |
| Nguồn | https://github.com/xuwenhao/openfrog |
Tuân thủ quy định
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Quyền Tài Pháns | Assessed across 52 quyền tài pháns |
Lựa chọn phổ biến trong coding
What Is Openfrog?
Openfrog is a software tool in the coding category: A collection of AI coding agents and SDKs for building autonomous agents.. Nerq Trust Score: 65/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including bảo mật vulnerabilities, bảo trì activity, license tuân thủ, and sự chấp nhận của cộng đồng.
How Nerq Assesses Openfrog's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five tiêu chí. Here is how Openfrog performs in each:
- Bảo mật (0/100): Openfrog's bảo mật posture is poor. This score factors in known CVEs, dependency vulnerabilities, bảo mật policy presence, and code signing practices.
- Bảo trì (1/100): Openfrog 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 tài liệu, usage examples, and contribution guidelines.
- Compliance (100/100): Openfrog is broadly compliant. Assessed against regulations in 52 quyền tài pháns including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Dựa trên sao GitHub, forks, download counts, and ecosystem integrations.
The overall Trust Score of 64.6/100 (C) 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 Openfrog?
Openfrog is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Openfrog is suitable for development and testing environments. Before production deployment, conduct a thorough review of its bảo mật posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Openfrog's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Xem xét repository's bảo mật policy, open issues, and recent commits for signs of active bảo trì.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Openfrog's dependency tree. - Đánh giá permissions — Understand what access Openfrog requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Openfrog 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=openfrog - Xem xét license — Confirm that Openfrog'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 bảo mật concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Openfrog
When evaluating whether Openfrog is safe, consider these category-specific risks:
Understand how Openfrog processes, stores, and transmits your data. Xem xét tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Openfrog's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher bảo mật risk.
Regularly check for updates to Openfrog. Bảo mật patches and bug fixes are only effective if you're running the latest version.
If Openfrog 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 Openfrog's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Openfrog in violation of its license can expose your organization to legal liability.
Openfrog and the EU AI Act
Openfrog 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 tuân thủ assessment covers 52 quyền tài pháns worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal tuân thủ.
Best Practices for Using Openfrog Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Openfrog while minimizing risk:
Periodically review how Openfrog is used in your workflow. Check for unexpected behavior, permissions drift, and tuân thủ with your bảo mật policies.
Ensure Openfrog and all its dependencies are running the latest stable versions to benefit from bảo mật patches.
Grant Openfrog only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Openfrog's bảo mật advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Openfrog is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Openfrog?
Even promising tools aren't right for every situation. Consider avoiding Openfrog in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional tuân thủ review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Openfrog's trust score of 64.6/100 meets your organization's risk tolerance. We recommend running a manual bảo mật assessment alongside the automated Nerq score.
How Openfrog Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Openfrog's score of 64.6/100 is above the category average of 62/100.
This positions Openfrog favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust tiêu chí.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks trung bình 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 Openfrog 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 bảo trì patterns change, Openfrog'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 bảo mật and quality. Conversely, a downward trend may signal reduced bảo trì, growing technical debt, or unresolved vulnerabilities. To track Openfrog's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=openfrog&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 — bảo mật, bảo trì, tài liệu, tuân thủ, and community — has evolved independently, providing granular visibility into which aspects of Openfrog are strengthening or weakening over time.
Openfrog vs Lựa chọn thay thế
In the coding category, Openfrog scores 64.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Openfrog vs AutoGPT — Trust Score: 63.2/100
- Openfrog vs ollama — Trust Score: 58.0/100
- Openfrog vs langchain — Trust Score: 71.3/100
Điểm chính
- Openfrog has a Trust Score of 64.6/100 (C) and is not yet Nerq Verified.
- Openfrog shows trung bình trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Openfrog scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Câu hỏi thường gặp
Openfrog có an toàn không?
Điểm tin cậy của Openfrog là bao nhiêu?
Các lựa chọn an toàn hơn Openfrog là gì?
Điểm an toàn của Openfrog được cập nhật bao lâu một lần?
Tôi có thể sử dụng Openfrog trong môi trường được quản lý không?
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Disclaimer: Điểm tin cậy Nerq là đánh giá tự động dựa trên tín hiệu công khai. Đây không phải khuyến nghị hay bảo đảm. Hãy luôn tự xác minh.