Безопасен ли Ai Agents Coding?
Ai Agents Coding — Nerq Trust Score 62.2/100 (Оценка C). На основе анализа 5 измерений доверия, считается в целом безопасным, но с некоторыми опасениями. Последнее обновление: 2026-04-01.
Используйте Ai Agents Coding с осторожностью. Ai Agents Coding is a software tool с рейтингом доверия Nerq 62.2/100 (C), based on 5 independent data dimensions. Ниже рекомендуемого порога в 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Машинночитаемые данные (JSON).
Безопасен ли Ai Agents Coding?
ОСТОРОЖНО — Ai Agents Coding имеет рейтинг доверия Nerq 62.2/100 (C). Умеренные сигналы доверия, но есть отдельные области, требующие внимания. Подходит для разработки — проверьте сигналы безопасности и обслуживания перед развёртыванием в продакшене.
Каков рейтинг доверия Ai Agents Coding?
Ai Agents Coding имеет рейтинг доверия Nerq 62.2/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
Каковы основные выводы по безопасности Ai Agents Coding?
Ai Agents Coding's strongest signal is соответствие at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Что такое Ai Agents Coding и кто его поддерживает?
| Разработчик | adlandh |
| Категория | coding |
| Источник | https://github.com/adlandh/ai-agents-coding |
Соответствие нормативам
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Популярные альтернативы в coding
Ai Agents Coding на других платформах
Тот же разработчик/компания в других реестрах:
What Is Ai Agents Coding?
Ai Agents Coding is a software tool in the coding category: Prompts and skills for AI agents. Nerq Trust Score: 62/100 (C).
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 Ai Agents Coding's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ai Agents Coding performs in each:
- Безопасность (0/100): Ai Agents Coding's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Обслуживание (1/100): Ai Agents Coding 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.
- Compliance (100/100): Ai Agents Coding is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 62.2/100 (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 Ai Agents Coding?
Ai Agents Coding 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: Ai Agents Coding is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Ai Agents Coding'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's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Ai Agents Coding's dependency tree. - Отзыв permissions — Understand what access Ai Agents Coding requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ai Agents Coding 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=ai-agents-coding - Проверьте license — Confirm that Ai Agents Coding'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 Ai Agents Coding
When evaluating whether Ai Agents Coding is safe, consider these category-specific risks:
Understand how Ai Agents Coding processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ai Agents Coding's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Ai Agents Coding. Security patches and bug fixes are only effective if you're running the latest version.
If Ai Agents Coding 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 Ai Agents Coding's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ai Agents Coding in violation of its license can expose your organization to legal liability.
Ai Agents Coding and the EU AI Act
Ai Agents Coding 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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using Ai Agents Coding Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ai Agents Coding while minimizing risk:
Periodically review how Ai Agents Coding is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Ai Agents Coding and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Ai Agents Coding only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ai Agents Coding's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ai Agents Coding is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Ai Agents Coding?
Even promising tools aren't right for every situation. Consider avoiding Ai Agents Coding 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 Ai Agents Coding 62.2/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Ai Agents Coding 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. Ai Agents Coding's score of 62.2/100 is above the category average of 62/100.
This positions Ai Agents Coding favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
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.
Trust Score History
Nerq continuously monitors Ai Agents Coding 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 maintenance patterns change, Ai Agents Coding'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 Ai Agents Coding's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ai-agents-coding&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 Ai Agents Coding are strengthening or weakening over time.
Ai Agents Coding vs Alternatives
В категории coding, Ai Agents Coding получает 62.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ai Agents Coding vs AutoGPT — Trust Score: 74.7/100
- Ai Agents Coding vs ollama — Trust Score: 73.8/100
- Ai Agents Coding vs langchain — Trust Score: 86.4/100
Основные выводы
- Ai Agents Coding имеет рейтинг доверия 62.2/100 (C) and is not yet Nerq Verified.
- Ai Agents Coding shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Ai Agents Coding 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.
Часто задаваемые вопросы
Безопасен ли Ai Agents Coding для использования?
Что такое Ai Agents Coding's trust score?
Какие более безопасные альтернативы Ai Agents Coding?
How often is Ai Agents Coding's safety score updated?
Можно ли использовать Ai Agents Coding в регулируемой среде?
Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.