¿Es Screen Vision Seguro?
Screen Vision — Nerq Trust Score 38.9/100 (Grado E). Basado en el análisis de 5 dimensiones de confianza, se tiene riesgos de seguridad significativos. Última actualización: 2026-04-21.
Ten precaución con Screen Vision. Screen Vision es un software tool con un Nerq Trust Score de 38.9/100 (E). Por debajo del umbral verificado de Nerq Datos de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. Última actualización: 2026-04-21. Datos legibles por máquina (JSON).
¿Es Screen Vision Seguro?
NO — USE WITH CAUTION — Screen Vision has a Nerq Trust Score of 38.9/100 (E). Tiene señales de confianza por debajo del promedio con brechas significativas in seguridad, mantenimiento, or documentación. Not recommended for production use without thorough manual review and additional seguridad measures.
¿Cuál es la puntuación de confianza de Screen Vision?
Screen Vision tiene una Puntuación de Confianza Nerq de 38.9/100, obteniendo un grado E. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Screen Vision?
La señal más fuerte de Screen Vision es confianza general con 38.9/100. No se han detectado vulnerabilidades conocidas. Aún no ha alcanzado el umbral verificado de Nerq de 70+.
¿Qué es Screen Vision y quién lo mantiene?
| Autor | https://github.com/yanyu7573-png/screen-mcp |
| Categoría | Uncategorized |
| Fuente | https://github.com/yanyu7573-png/screen-mcp |
What Is Screen Vision?
Screen Vision is a software tool in the uncategorized category: Real-time screen monitoring with multiple perception modes and cross-session memory.. Nerq Trust Score: 39/100 (E).
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 Screen Vision's Safety
Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core dimensiones: Seguridad (known CVEs, dependency vulnerabilities, seguridad policies), Mantenimiento (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).
Screen Vision receives an overall Trust Score of 38.9/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=Screen Vision
Each dimension is weighted according to its importance for the tool's category. For example, Seguridad and Mantenimiento carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that Screen Vision's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensiones, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).
Who Should Use Screen Vision?
Screen Vision is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Screen Vision. The low trust score suggests potential risks in seguridad, mantenimiento, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Screen Vision's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Revisar el/la repository seguridad policy, open issues, and recent commits for signs of active mantenimiento.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Screen Vision's dependency tree. - Reseña permissions — Understand what access Screen Vision requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Screen Vision 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=Screen Vision - Revisar el/la license — Confirm that Screen Vision'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 seguridad concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Screen Vision
When evaluating whether Screen Vision is safe, consider these category-specific risks:
Understand how Screen Vision processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Screen Vision's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Screen Vision. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Screen Vision 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 Screen Vision's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Screen Vision in violation of its license can expose your organization to legal liability.
Best Practices for Using Screen Vision Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Screen Vision while minimizing risk:
Periodically review how Screen Vision is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Screen Vision and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Screen Vision only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Screen Vision's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Screen Vision is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Screen Vision?
Even promising tools aren't right for every situation. Consider avoiding Screen Vision in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional cumplimiento review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Screen Vision's trust score of 38.9/100 meets your organization's risk tolerance. We recommend running a manual seguridad assessment alongside the automated Nerq score.
How Screen Vision Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Screen Vision's score of 38.9/100 is below the category average of 62/100.
This suggests that Screen Vision trails behind many comparable uncategorized tools. Organizations with strict seguridad requirements should evaluate whether higher-scoring alternatives better meet their needs.
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 Screen Vision 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, Screen Vision'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 Screen Vision's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Screen Vision&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 Screen Vision are strengthening or weakening over time.
Puntos Clave
- Screen Vision has a Trust Score of 38.9/100 (E) and is not yet Nerq Verified.
- Screen Vision has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among uncategorized tools, Screen Vision scores below the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Preguntas Frecuentes
¿Es Screen Vision Seguro?
¿Cuál es la puntuación de confianza de Screen Vision?
¿Cuáles son alternativas más seguras a Screen Vision?
¿Con qué frecuencia se actualiza la puntuación de Screen Vision?
¿Puedo usar Screen Vision en un entorno regulado?
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.