¿Es Agentic Coding Files Seguro?

Agentic Coding Files — Nerq Trust Score 62.2/100 (Grado C). Basado en el análisis de 5 dimensiones de confianza, se considera generalmente seguro pero con algunas preocupaciones. Última actualización: 2026-04-06.

Usa Agentic Coding Files con precaución. Agentic Coding Files es un software tool con un Nerq Trust Score de 62.2/100 (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: 2026-04-06. Datos legibles por máquina (JSON).

¿Es Agentic Coding Files Seguro?

CAUTION — Agentic Coding Files has a Nerq Trust Score of 62.2/100 (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 Agentic Coding Files →

¿Cuál es la puntuación de confianza de Agentic Coding Files?

Agentic Coding Files tiene una Puntuación de Confianza Nerq de 62.2/100, obteniendo un grado C. Esta puntuación se basa en 5 dimensiones medidas independientemente.

Seguridad
0
Cumplimiento
100
Mantenimiento
1
Documentación
0
Popularidad
0

¿Cuáles son los hallazgos de seguridad clave de Agentic Coding Files?

La señal más fuerte de Agentic Coding Files 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: 0/100 — documentación limitada
Popularidad: 0/100 — adopción comunitaria

¿Qué es Agentic Coding Files y quién lo mantiene?

Autoratacan
CategoríaCoding
Fuentehttps://github.com/atacan/agentic-coding-files
Frameworksanthropic

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
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 Agentic Coding Files?

Agentic Coding Files is a software tool in the coding category: Prompts, Skills and Scripts for agentic coding. Nerq Trust Score: 62/100 (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 Agentic Coding Files's Safety

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

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 Agentic Coding Files?

Agentic Coding Files is designed for:

Risk guidance: Agentic Coding Files 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 Agentic Coding Files'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 Agentic Coding Files's dependency tree.
  3. Reseña permissions — Understand what access Agentic Coding Files requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agentic Coding Files 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=agentic-coding-files
  6. Revisar el/la license — Confirm that Agentic Coding Files'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 Agentic Coding Files

When evaluating whether Agentic Coding Files is safe, consider these category-specific risks:

Data handling

Understand how Agentic Coding Files 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 Agentic Coding Files's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.

Update frequency

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

Third-party integrations

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

Agentic Coding Files and the EU AI Act

Agentic Coding Files 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 Agentic Coding Files Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for seguridad advisories

Subscribe to Agentic Coding Files'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 Agentic Coding Files is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Agentic Coding Files?

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

For each scenario, evaluate whether Agentic Coding Files's trust score of 62.2/100 meets your organization's risk tolerance. We recommend running a manual seguridad assessment alongside the automated Nerq score.

How Agentic Coding Files 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. Agentic Coding Files's score of 62.2/100 is above the category average of 62/100.

This positions Agentic Coding Files favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensiones.

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 Agentic Coding Files 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, Agentic Coding Files'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 Agentic Coding Files's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agentic-coding-files&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 Agentic Coding Files are strengthening or weakening over time.

Agentic Coding Files vs Alternativas

In the coding category, Agentic Coding Files scores 62.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Puntos Clave

Preguntas Frecuentes

¿Es Agentic Coding Files Seguro?
Usar con precaución. agentic-coding-files con un Nerq Trust Score de 62.2/100 (C). Señal más fuerte: cumplimiento (100/100). Puntuación basada en Seguridad (0/100), Mantenimiento (1/100), Popularidad (0/100), Documentación (0/100).
¿Cuál es la puntuación de confianza de Agentic Coding Files?
agentic-coding-files: 62.2/100 (C). Puntuación basada en Seguridad (0/100), Mantenimiento (1/100), Popularidad (0/100), Documentación (0/100). Compliance: 100/100. Las puntuaciones se actualizan cuando hay nuevos datos. API: GET nerq.ai/v1/preflight?target=agentic-coding-files
What are safer alternatives to Agentic Coding Files?
En la categoría Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). agentic-coding-files scores 62.2/100.
How often is Agentic Coding Files's safety score updated?
Nerq continuously monitors Agentic Coding Files and updates its trust score as new data becomes available. Datos obtenidos de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. Current: 62.2/100 (C), last verificado 2026-04-06. API: GET nerq.ai/v1/preflight?target=agentic-coding-files
Can I use Agentic Coding Files in a regulated environment?
Agentic Coding Files has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
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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