¿Es Agentic Code Analyzer Seguro?

Agentic Code Analyzer — Nerq Puntuación de Confianza 60.6/100 (Grado C). Basado en el análisis de 5 dimensiones de confianza, se considera generalmente seguro pero con algunas preocupaciones. Última actualización: 2026-04-02.

Usa Agentic Code Analyzer con precaución. Agentic Code Analyzer is a software tool with a Nerq Puntuación de Confianza de 60.6/100 (C), based on 5 dimensiones de datos independientes. It is below the recommended threshold of 70. Seguridad: 0/100. Mantenimiento: 1/100. Popularity: 0/100. Datos obtenidos de multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Última actualización: 2026-04-02. Datos legibles por máquina (JSON).

¿Es Agentic Code Analyzer Seguro?

CAUTION — Agentic Code Analyzer tiene una Puntuación de Confianza Nerq de 60.6/100 (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 {name} →

¿Cuál es la puntuación de confianza de Agentic Code Analyzer?

Agentic Code Analyzer tiene una Puntuación de Confianza Nerq de 60.6/100, 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 Agentic Code Analyzer?

La señal más fuerte de Agentic Code Analyzer 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 (weak)
Mantenimiento: 1/100 — baja actividad de mantenimiento
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 1/100 — documentación limitada
Popularity: 0/100 — adopción por la comunidad

¿Qué es Agentic Code Analyzer y quién lo mantiene?

Autor0DevDutt0
Categoríacoding
Fuentehttps://github.com/0DevDutt0/agentic-code-analyzer
Frameworksollama
Protocolsmcp

Cumplimiento Regulatorio

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

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What Is Agentic Code Analyzer?

Agentic Code Analyzer is a software tool in the coding category: Multi-agent code analyzer using LangGraph and local LLMs for software engineering tasks.. Nerq Trust Puntuación: 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 Agentic Code Analyzer's Safety

Nerq's Puntuación de Confianza is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Agentic Code Analyzer performs in each:

The overall Puntuación de Confianza de 60.6/100 (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 Code Analyzer?

Agentic Code Analyzer is designed for:

Risk guidance: Agentic Code Analyzer 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 Code Analyzer'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 the 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 Code Analyzer's dependency tree.
  3. Revisar permissions — Understand what access Agentic Code Analyzer requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agentic Code Analyzer 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-code-analyzer
  6. Revisar the license — Confirm that Agentic Code Analyzer'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 Code Analyzer

When evaluating whether Agentic Code Analyzer is safe, consider these category-specific risks:

Data handling

Understand how Agentic Code Analyzer processes, stores, and transmits your data. Revisar the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency seguridad

Check Agentic Code Analyzer'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 Code Analyzer. Seguridad patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Agentic Code Analyzer 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 Code Analyzer'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 Code Analyzer in violation of its license can expose your organization to legal liability.

Agentic Code Analyzer and the EU AI Act

Agentic Code Analyzer 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 Code Analyzer Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for seguridad advisories

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

When Should You Avoid Agentic Code Analyzer?

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

La puntuación de confianza de

For each scenario, evaluate whether Agentic Code Analyzer de 60.6/100 meets your organization's risk tolerance. We recommend running a manual seguridad assessment alongside the automated Nerq score.

How Agentic Code Analyzer Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Puntuación de Confianza is 62/100. Agentic Code Analyzer's score of 60.6/100 is near the category average of 62/100.

This places Agentic Code Analyzer 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.

Puntuación de Confianza History

Nerq continuously monitors Agentic Code Analyzer and recalculates its Puntuación de Confianza 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 Code Analyzer'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 Code Analyzer's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agentic-code-analyzer&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 Code Analyzer are strengthening or weakening over time.

Agentic Code Analyzer vs Alternativas

In the coding category, Agentic Code Analyzer tiene una puntuación de 60.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Puntos Clave

Preguntas Frecuentes

¿Es Agentic Code Analyzer safe to use?
Usar con precaución. agentic-code-analyzer tiene una Puntuación de Confianza Nerq de 60.6/100 (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 Agentic Code Analyzer?
agentic-code-analyzer: 60.6/100 (C). Puntuación basada en: seguridad (0/100), mantenimiento (1/100), popularidad (0/100), documentación (1/100). Compliance: 100/100. Las puntuaciones se actualizan con nuevos datos. API: GET nerq.ai/v1/preflight?target=agentic-code-analyzer
¿Cuáles son alternativas más seguras a Agentic Code Analyzer?
In the coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). agentic-code-analyzer tiene una puntuación de 60.6/100.
How often is Agentic Code Analyzer's safety score updated?
Nerq continuously monitors Agentic Code Analyzer and updates its trust score as new data becomes available. Datos obtenidos de multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 60.6/100 (C), last verificado 2026-04-02. API: GET nerq.ai/v1/preflight?target=agentic-code-analyzer
Can I use Agentic Code Analyzer in a regulated environment?
Agentic Code Analyzer 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: 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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