¿Es Phone Agent Moltbot Skill Seguro?
Phone Agent Moltbot Skill — Nerq Trust Score 61.8/100 (Grado C). Puntuación basada en 5 independent trust signals.
Phone Agent Moltbot Skill es un software tool con un Nerq Trust Score de 61.8/100 (C), basado en 5 dimensiones de datos independientes. 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: n/a. Datos legibles por máquina (JSON).
¿Es Phone Agent Moltbot Skill Seguro?
Desglose de Puntuación de Confianza — Phone Agent Moltbot Skill has a Nerq Trust Score of 61.8/100 (C). Measured across 5 independent trust signals.
¿Cuál es la puntuación de confianza de Phone Agent Moltbot Skill?
Phone Agent Moltbot Skill tiene una Puntuación de Confianza Nerq de 61.8/100, obteniendo un grado C. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Phone Agent Moltbot Skill?
La señal más fuerte de Phone Agent Moltbot Skill es cumplimiento con 100/100. No se han detectado vulnerabilidades conocidas.
¿Qué es Phone Agent Moltbot Skill y quién lo mantiene?
| Autor | kesslerio |
| Categoría | Communication |
| Estrellas | 2 |
| Fuente | https://github.com/kesslerio/phone-agent-moltbot-skill |
| Frameworks | openai |
| Protocols | rest · websocket |
Cumplimiento Regulatorio
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en communication
Phone Agent Moltbot Skill en Otras Plataformas
Mismo desarrollador/empresa en otros registros:
What Is Phone Agent Moltbot Skill?
Phone Agent Moltbot Skill is a software tool in the communication category: Real-time AI voice agent for handling and generating phone call responses.. It has 2 GitHub stars. 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 Phone Agent Moltbot Skill's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Phone Agent Moltbot Skill performs in each:
- Seguridad (0/100): Phone Agent Moltbot Skill's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
- Mantenimiento (1/100): Phone Agent Moltbot Skill is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentación, usage examples, and contribution guidelines.
- Compliance (100/100): Phone Agent Moltbot Skill is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basado en GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 61.8/100 (C) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates Phone Agent Moltbot Skill?
Phone Agent Moltbot Skill is commonly evaluated by:
- Developers and teams working with communication tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Phone Agent Moltbot Skill's measured signals (seguridad 0/100, mantenimiento 1/100, documentación 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
How to Verify Phone Agent Moltbot Skill'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's 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 Phone Agent Moltbot Skill's dependency tree. - Reseña permissions — Understand what access Phone Agent Moltbot Skill requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Phone Agent Moltbot Skill 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=phone-agent-moltbot-skill - Revisar el/la license — Confirm that Phone Agent Moltbot Skill'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 Phone Agent Moltbot Skill
When evaluating whether Phone Agent Moltbot Skill is safe, consider these category-specific risks:
Understand how Phone Agent Moltbot Skill processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Phone Agent Moltbot Skill's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Phone Agent Moltbot Skill. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Phone Agent Moltbot Skill 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 Phone Agent Moltbot Skill's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Phone Agent Moltbot Skill in violation of its license can expose your organization to legal liability.
Phone Agent Moltbot Skill and the EU AI Act
Phone Agent Moltbot Skill 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 Phone Agent Moltbot Skill Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Phone Agent Moltbot Skill while minimizing risk:
Periodically review how Phone Agent Moltbot Skill is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Phone Agent Moltbot Skill and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Phone Agent Moltbot Skill only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Phone Agent Moltbot Skill's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Phone Agent Moltbot Skill is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Phone Agent Moltbot Skill
Nerq's signals are one input. In the following situations, evaluate Phone Agent Moltbot Skill's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Phone Agent Moltbot Skill's measured trust score of 61.8/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Phone Agent Moltbot Skill is suitable for any particular use.
How Phone Agent Moltbot Skill Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among communication tools, the average Trust Score is 62/100. Phone Agent Moltbot Skill's score of 61.8/100 is near the category average of 62/100.
This places Phone Agent Moltbot Skill in line with the typical communication 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 Phone Agent Moltbot Skill 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, Phone Agent Moltbot Skill'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 Phone Agent Moltbot Skill's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=phone-agent-moltbot-skill&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 Phone Agent Moltbot Skill are strengthening or weakening over time.
Phone Agent Moltbot Skill vs Alternativas
In the communication category, Phone Agent Moltbot Skill scores 61.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Phone Agent Moltbot Skill vs Real-Time-Voice-Cloning — Trust Score: 56.9/100
- Phone Agent Moltbot Skill vs ChatGPT — Trust Score: 59.4/100
- Phone Agent Moltbot Skill vs jan — Trust Score: 64.4/100
Puntos Clave
- Phone Agent Moltbot Skill has a measured Nerq Trust Score of 61.8/100 (C) — a composite of independent signals, not a suitability judgment.
- Among communication tools, Phone Agent Moltbot Skill scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — seguridad, mantenimiento, documentación, cumplimiento, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Preguntas Frecuentes
¿Es Phone Agent Moltbot Skill Seguro?
¿Cuál es la puntuación de confianza de Phone Agent Moltbot Skill?
¿Cuáles son alternativas más seguras a Phone Agent Moltbot Skill?
¿Con qué frecuencia se actualiza la puntuación de Phone Agent Moltbot Skill?
¿Puedo usar Phone Agent Moltbot Skill 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.