Безопасен ли Llm Plugin Artifacts?
Llm Plugin Artifacts — Nerq Trust Score 68.0/100 (Оценка C). На основе анализа 5 измерений доверия, считается в целом безопасным, но с некоторыми опасениями. Последнее обновление: 2026-04-05.
Используйте Llm Plugin Artifacts с осторожностью. Llm Plugin Artifacts — это software tool с рейтингом доверия Nerq 68.0/100 (C), based on 5 независимых показателей данных. Ниже рекомендуемого порога в 70. Безопасность: 0/100. Обслуживание: 1/100. Популярность: 0/100. Данные из multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Последнее обновление: 2026-04-05. Машинночитаемые данные (JSON).
Безопасен ли Llm Plugin Artifacts?
ОСТОРОЖНО — Llm Plugin Artifacts имеет рейтинг доверия Nerq 68.0/100 (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 Llm Plugin Artifacts?
Llm Plugin Artifacts имеет Nerq Trust Score 68.0/100 с оценкой C. Этот балл основан на 5 независимо измеренных параметрах, включая безопасность, обслуживание и принятие сообществом.
Каковы основные выводы по безопасности Llm Plugin Artifacts?
Самый сильный сигнал Llm Plugin Artifacts — соответствие на уровне 100/100. Известных уязвимостей не обнаружено. It has not yet reached the Nerq Verified threshold of 70+.
Что такое Llm Plugin Artifacts и кто его поддерживает?
| Разработчик | eggmasonvalue |
| Категория | coding |
| Источник | https://github.com/eggmasonvalue/llm-plugin-artifacts |
Соответствие нормативам
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Популярные альтернативы в coding
What Is Llm Plugin Artifacts?
Llm Plugin Artifacts is a software tool in the coding category: Manages custom skills and workflows for Antigravity.. Nerq Trust Score: 68/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including безопасность vulnerabilities, обслуживание activity, license соответствие, and принятие сообществом.
How Nerq Assesses Llm Plugin Artifacts's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five показателей. Here is how Llm Plugin Artifacts performs in each:
- Безопасность (0/100): Llm Plugin Artifacts's безопасность posture is poor. This score factors in known CVEs, dependency vulnerabilities, безопасность policy presence, and code signing practices.
- Обслуживание (1/100): Llm Plugin Artifacts 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 документация, usage examples, and contribution guidelines.
- Compliance (100/100): Llm Plugin Artifacts is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. На основе GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 68.0/100 (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 Llm Plugin Artifacts?
Llm Plugin Artifacts 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: Llm Plugin Artifacts is suitable for development and testing environments. Before production deployment, conduct a thorough review of its безопасность posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Llm Plugin Artifacts's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Проверьте repository's безопасность policy, open issues, and recent commits for signs of active обслуживание.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Llm Plugin Artifacts's dependency tree. - Отзыв permissions — Understand what access Llm Plugin Artifacts requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Llm Plugin Artifacts 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=llm-plugin-artifacts - Проверьте license — Confirm that Llm Plugin Artifacts'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 безопасность concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Llm Plugin Artifacts
When evaluating whether Llm Plugin Artifacts is safe, consider these category-specific risks:
Understand how Llm Plugin Artifacts processes, stores, and transmits your data. Проверьте tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Llm Plugin Artifacts's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher безопасность risk.
Regularly check for updates to Llm Plugin Artifacts. Безопасность patches and bug fixes are only effective if you're running the latest version.
If Llm Plugin Artifacts 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 Llm Plugin Artifacts's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Llm Plugin Artifacts in violation of its license can expose your organization to legal liability.
Llm Plugin Artifacts and the EU AI Act
Llm Plugin Artifacts 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 соответствие assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal соответствие.
Best Practices for Using Llm Plugin Artifacts Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Llm Plugin Artifacts while minimizing risk:
Periodically review how Llm Plugin Artifacts is used in your workflow. Check for unexpected behavior, permissions drift, and соответствие with your безопасность policies.
Ensure Llm Plugin Artifacts and all its dependencies are running the latest stable versions to benefit from безопасность patches.
Grant Llm Plugin Artifacts only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Llm Plugin Artifacts's безопасность advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Llm Plugin Artifacts is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Llm Plugin Artifacts?
Even promising tools aren't right for every situation. Consider avoiding Llm Plugin Artifacts in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional соответствие review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Llm Plugin Artifacts 68.0/100 meets your organization's risk tolerance. We recommend running a manual безопасность assessment alongside the automated Nerq score.
How Llm Plugin Artifacts 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. Llm Plugin Artifacts's score of 68.0/100 is above the category average of 62/100.
This positions Llm Plugin Artifacts favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust показателей.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks умеренный 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 Llm Plugin Artifacts 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 обслуживание patterns change, Llm Plugin Artifacts'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 безопасность and quality. Conversely, a downward trend may signal reduced обслуживание, growing technical debt, or unresolved vulnerabilities. To track Llm Plugin Artifacts's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=llm-plugin-artifacts&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 — безопасность, обслуживание, документация, соответствие, and community — has evolved independently, providing granular visibility into which aspects of Llm Plugin Artifacts are strengthening or weakening over time.
Llm Plugin Artifacts vs Альтернативы
В категории coding, Llm Plugin Artifacts получает 68.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Llm Plugin Artifacts vs AutoGPT — Trust Score: 74.7/100
- Llm Plugin Artifacts vs ollama — Trust Score: 73.8/100
- Llm Plugin Artifacts vs langchain — Trust Score: 86.4/100
Основные выводы
- Llm Plugin Artifacts имеет рейтинг доверия 68.0/100 (C) and is not yet Nerq Verified.
- Llm Plugin Artifacts shows умеренный trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Llm Plugin Artifacts 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 Llm Plugin Artifacts для использования?
Что такое Llm Plugin Artifacts's trust score?
Какие более безопасные альтернативы Llm Plugin Artifacts?
How often is Llm Plugin Artifacts's safety score updated?
Можно ли использовать Llm Plugin Artifacts 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.