¿Es Agent Coding Container Seguro?

Agent Coding Container — Nerq Trust Score 60.9/100 (Grado C). Basado en el análisis de 5 dimensiones de confianza, se considera generalmente seguro pero con algunas preocupaciones. Última actualización: 2026-04-23.

Usa Agent Coding Container con precaución. Agent Coding Container es un software tool con un Nerq Trust Score de 60.9/100 (C), basado en 5 dimensiones de datos independientes. Por debajo del umbral verificado de Nerq Seguridad: 0/100. Mantenimiento: 1/100. Popularidad: 0/100. Datos de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. Última actualización: 2026-04-23. Datos legibles por máquina (JSON).

¿Es Agent Coding Container Seguro?

CAUTION — Agent Coding Container has a Nerq Trust Score of 60.9/100 (C). Tiene señales de confianza moderadas pero muestra algunas áreas de preocupación that warrant attention. Suitable for development use — review seguridad and mantenimiento signals before production deployment.

Análisis de Seguridad → Informe de Privacidad de Agent Coding Container →

¿Cuál es la puntuación de confianza de Agent Coding Container?

Agent Coding Container tiene una Puntuación de Confianza Nerq de 60.9/100, obteniendo un grado C. Esta puntuación se basa en 5 dimensiones medidas independientemente.

Seguridad
0
Cumplimiento
100
Mantenimiento
1
Documentación
1
Popularidad
0

¿Cuáles son los hallazgos de seguridad clave de Agent Coding Container?

La señal más fuerte de Agent Coding Container es cumplimiento con 100/100. No se han detectado vulnerabilidades conocidas. Aún no ha alcanzado el umbral verificado de Nerq de 70+.

Puntuación de seguridad: 0/100 (débil)
Mantenimiento: 1/100 — baja actividad de mantenimiento
Cumplimiento: 100/100 — covers 52 of 52 jurisdictions
Documentación: 1/100 — documentación limitada
Popularidad: 0/100 — 1 estrellas en github

¿Qué es Agent Coding Container y quién lo mantiene?

Autorkkingsbe
CategoríaCoding
Estrellas1
Fuentehttps://github.com/kkingsbe/agent-coding-container
Frameworksautogen · anthropic
Protocolsrest

Cumplimiento Regulatorio

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

Alternativas Populares en coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
71.3/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
64.1/100 · C+
github

What Is Agent Coding Container?

Agent Coding Container is a software tool in the coding category: A Docker-based system for autonomous software development using AI coding agents in a loop.. It has 1 GitHub stars. Nerq Trust Score: 61/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including seguridad vulnerabilities, mantenimiento activity, license cumplimiento, and adopción por la comunidad.

How Nerq Assesses Agent Coding Container's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Agent Coding Container performs in each:

The overall Trust Score of 60.9/100 (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 Agent Coding Container?

Agent Coding Container is designed for:

Risk guidance: Agent Coding Container is suitable for development and testing environments. Before production deployment, conduct a thorough review of its seguridad posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Agent Coding Container's Safety Yourself

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

  1. Check the source code — Revisar el/la repository's seguridad policy, open issues, and recent commits for signs of active mantenimiento.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Agent Coding Container's dependency tree.
  3. Reseña permissions — Understand what access Agent Coding Container requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agent Coding Container 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=agent-coding-container
  6. Revisar el/la license — Confirm that Agent Coding Container'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 seguridad concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Agent Coding Container

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

Data handling

Understand how Agent Coding Container processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency seguridad

Check Agent Coding Container's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.

Update frequency

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

Third-party integrations

If Agent Coding Container 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 cumplimiento

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

Agent Coding Container and the EU AI Act

Agent Coding Container 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 cumplimiento assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal cumplimiento.

Best Practices for Using Agent Coding Container Safely

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

Conduct regular audits

Periodically review how Agent Coding Container is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.

Keep dependencies updated

Ensure Agent Coding Container and all its dependencies are running the latest stable versions to benefit from seguridad patches.

Follow least privilege

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

Monitor for seguridad advisories

Subscribe to Agent Coding Container's seguridad 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 Agent Coding Container is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Agent Coding Container?

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

For each scenario, evaluate whether Agent Coding Container's trust score of 60.9/100 meets your organization's risk tolerance. We recommend running a manual seguridad assessment alongside the automated Nerq score.

How Agent Coding Container 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. Agent Coding Container's score of 60.9/100 is near the category average of 62/100.

This places Agent Coding Container in line with the typical coding tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderado 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 Agent Coding Container 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 mantenimiento patterns change, Agent Coding Container'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 seguridad and quality. Conversely, a downward trend may signal reduced mantenimiento, growing technical debt, or unresolved vulnerabilities. To track Agent Coding Container's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agent-coding-container&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 — seguridad, mantenimiento, documentación, cumplimiento, and community — has evolved independently, providing granular visibility into which aspects of Agent Coding Container are strengthening or weakening over time.

Agent Coding Container vs Alternativas

In the coding category, Agent Coding Container scores 60.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Puntos Clave

Análisis Detallado de Puntuación

DimensionScore
Seguridad0/100
Mantenimiento1/100
Popularidad0/100

Basado en 3 dimensiones. Data from múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard.

¿Qué datos recopila Agent Coding Container?

Privacidad assessment for Agent Coding Container is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

¿Es Agent Coding Container seguro?

Seguridad score: 0/100. Review seguridad practices and consider alternatives with higher seguridad scores for sensitive use cases.

Nerq monitorea esta entidad contra NVD, OSV.dev y bases de datos de vulnerabilidades específicas del registro para evaluación de seguridad continua.

Análisis completo: Informe de Seguridad de Agent Coding Container

Cómo calculamos esta puntuación

Agent Coding Container's trust score of 60.9/100 (C) se calcula a partir de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. La puntuación refleja 3 dimensiones independientes: seguridad (0/100), mantenimiento (1/100), popularidad (0/100). Cada dimensión se pondera equitativamente para producir la puntuación de confianza compuesta.

Nerq analiza más de 7,5 millones de entidades en 26 registros usando la misma metodología, permitiendo comparación directa entre entidades. Las puntuaciones se actualizan continuamente a medida que hay nuevos datos.

Esta página fue revisada por última vez el April 23, 2026. Versión de datos: 1.0.

Documentación completa de metodología · Datos legibles por máquinas (API JSON)

Preguntas Frecuentes

¿Es Agent Coding Container Seguro?
Usar con precaución. agent-coding-container con un Nerq Trust Score de 60.9/100 (C). Señal más fuerte: cumplimiento (100/100). Puntuación basada en Seguridad (0/100), Mantenimiento (1/100), Popularidad (0/100), Documentación (1/100).
¿Cuál es la puntuación de confianza de Agent Coding Container?
agent-coding-container: 60.9/100 (C). Puntuación basada en Seguridad (0/100), Mantenimiento (1/100), Popularidad (0/100), Documentación (1/100). Compliance: 100/100. Las puntuaciones se actualizan cuando hay nuevos datos. API: GET nerq.ai/v1/preflight?target=agent-coding-container
¿Cuáles son alternativas más seguras a Agent Coding Container?
En la categoría Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (71/100). agent-coding-container scores 60.9/100.
¿Con qué frecuencia se actualiza la puntuación de Agent Coding Container?
Nerq continuously monitors Agent Coding Container and updates its trust score as new data becomes available. Current: 60.9/100 (C), last verificado 2026-04-23. API: GET nerq.ai/v1/preflight?target=agent-coding-container
¿Puedo usar Agent Coding Container en un entorno regulado?
Agent Coding Container no ha alcanzado el umbral de verificación Nerq de 70. Se recomienda diligencia adicional.
API: /v1/preflight Trust Badge API Docs

Ver también

Disclaimer: Las puntuaciones de confianza de Nerq son evaluaciones automatizadas basadas en señales disponibles públicamente. No son respaldos ni garantías. Siempre realice su propia diligencia debida.

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