Coding Agent Eval có an toàn không?

Coding Agent Eval — Nerq Điểm tin cậy 62.4/100 (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: 2026-04-02.

Sử dụng Coding Agent Eval một cách thận trọng. Coding Agent Eval is a software tool với Điểm tin cậy Nerq là 62.4/100 (C), based on 5 tiêu chí dữ liệu độc lập. Dưới ngưỡng khuyến nghị là 70. Bảo mật: 0/100. Bảo trì: 1/100. Popularity: 0/100. Dữ liệu từ multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Cập nhật lần cuối: 2026-04-02. Dữ liệu máy đọc được (JSON).

Coding Agent Eval có an toàn không?

THẬN TRỌNG — Coding Agent Eval có Điểm tin cậy Nerq là 62.4/100 (C). Có tín hiệu tin cậy vừa phải nhưng có một số vấn đề cần chú ý. Phù hợp để sử dụng trong phát triển — xem xét tín hiệu bảo mật và bảo trì trước khi triển khai sản xuất.

Phân tích Bảo mật → Báo cáo quyền riêng tư {name} →

Điểm tin cậy của Coding Agent Eval là bao nhiêu?

Coding Agent Eval có Điểm tin cậy Nerq là 62.4/100, earning a C grade. This score is based on 5 independently measured tiêu chí including bảo mật, bảo trì, and sự chấp nhận của cộng đồng.

Bảo mật
0
Tuân thủ
100
Bảo trì
1
Tài liệu
0
Độ phổ biến
0

Các phát hiện bảo mật chính của Coding Agent Eval là gì?

Coding Agent Eval's strongest signal is tuân thủ at 100/100. No lỗ hổng đã biết have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Bảo mật score: 0/100 (weak)
Bảo trì: 1/100 — hoạt động bảo trì thấp
Compliance: 100/100 — covers 52 of 52 quyền tài pháns
Documentation: 0/100 — tài liệu hạn chế
Popularity: 0/100 — sự chấp nhận của cộng đồng

Coding Agent Eval là gì và ai duy trì nó?

Nhà phát triểnJack-Kin
Danh mụccoding
Nguồnhttps://github.com/Jack-Kin/coding-agent-eval
Frameworksanthropic

Tuân thủ quy định

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
Quyền Tài PhánsAssessed across 52 quyền tài pháns

Lựa chọn phổ biến trong coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
86.4/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
87.9/100 · A
github

What Is Coding Agent Eval?

Coding Agent Eval is a software tool in the coding category: A Python harness for benchmarking coding agents on realistic software tasks.. Nerq Điểm tin cậy: 62/100 (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 Coding Agent Eval's Safety

Nerq's Điểm tin cậy is calculated from 13+ independent signals aggregated into five tiêu chí. Here is how Coding Agent Eval performs in each:

The overall Điểm tin cậy of 62.4/100 (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 Coding Agent Eval?

Coding Agent Eval is designed for:

Risk guidance: Coding Agent Eval 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 Coding Agent Eval's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Xem xét repository's bảo mật policy, open issues, and recent commits for signs of active bảo trì.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for lỗ hổng đã biết in Coding Agent Eval's dependency tree.
  3. Đánh giá permissions — Understand what access Coding Agent Eval requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Coding Agent Eval in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=coding-agent-eval
  6. Xem xét license — Confirm that Coding Agent Eval'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.
  7. 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 Coding Agent Eval

When evaluating whether Coding Agent Eval is safe, consider these category-specific risks:

Data handling

Understand how Coding Agent Eval processes, stores, and transmits your data. Xem xét tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency bảo mật

Check Coding Agent Eval's dependency tree for lỗ hổng đã biết. Tools with outdated or unmaintained dependencies pose a higher bảo mật risk.

Update frequency

Regularly check for updates to Coding Agent Eval. Bảo mật patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Coding Agent Eval 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.

License and IP tuân thủ

Verify that Coding Agent Eval's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Coding Agent Eval in violation of its license can expose your organization to legal liability.

Coding Agent Eval and the EU AI Act

Coding Agent Eval 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 Coding Agent Eval Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Coding Agent Eval while minimizing risk:

Conduct regular audits

Periodically review how Coding Agent Eval is used in your workflow. Check for unexpected behavior, permissions drift, and tuân thủ with your bảo mật policies.

Keep dependencies updated

Ensure Coding Agent Eval and all its dependencies are running the latest stable versions to benefit from bảo mật patches.

Follow least privilege

Grant Coding Agent Eval only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for bảo mật advisories

Subscribe to Coding Agent Eval's bảo mật advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Coding Agent Eval is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Coding Agent Eval?

Even promising tools aren't right for every situation. Consider avoiding Coding Agent Eval in these scenarios:

điểm tin cậy của

For each scenario, evaluate whether Coding Agent Eval là 62.4/100 meets your organization's risk tolerance. We recommend running a manual bảo mật assessment alongside the automated Nerq score.

How Coding Agent Eval Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Điểm tin cậy is 62/100. Coding Agent Eval's score of 62.4/100 is above the category average of 62/100.

This positions Coding Agent Eval 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.

Điểm tin cậy History

Nerq continuously monitors Coding Agent Eval and recalculates its Điểm tin cậy 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, Coding Agent Eval'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 Coding Agent Eval's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=coding-agent-eval&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 Coding Agent Eval are strengthening or weakening over time.

Coding Agent Eval vs Lựa chọn thay thế

In the coding category, Coding Agent Eval scores 62.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Điểm chính

Câu hỏi thường gặp

Coding Agent Eval có an toàn để sử dụng không?
Sử dụng với một chút thận trọng. coding-agent-eval có Điểm tin cậy Nerq là 62.4/100 (C). Tín hiệu mạnh nhất: tuân thủ (100/100). Điểm dựa trên bảo mật (0/100), bảo trì (1/100), độ phổ biến (0/100), tài liệu (0/100).
Coding Agent Eval's trust score là gì?
coding-agent-eval: 62.4/100 (C). Điểm dựa trên: bảo mật (0/100), bảo trì (1/100), độ phổ biến (0/100), tài liệu (0/100). Compliance: 100/100. Điểm được cập nhật khi có dữ liệu mới. API: GET nerq.ai/v1/preflight?target=coding-agent-eval
Các lựa chọn an toàn hơn Coding Agent Eval là gì?
In the coding category, các lựa chọn thay thế được đánh giá cao hơn bao gồm Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). coding-agent-eval scores 62.4/100.
How often is Coding Agent Eval's safety score updated?
Nerq continuously monitors Coding Agent Eval and updates its trust score as new data becomes available. Dữ liệu từ multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 62.4/100 (C), last đã xác minh 2026-04-02. API: GET nerq.ai/v1/preflight?target=coding-agent-eval
Tôi có thể sử dụng Coding Agent Eval trong môi trường quy định không?
Coding Agent Eval has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

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.

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