¿Es Crew Risk Seguro?
Crew Risk — Nerq Trust Score 43.4/100 (Grado E). Puntuación basada en 3 independent trust signals.
Crew Risk es un software tool con un Nerq Trust Score de 43.4/100 (E), basado en 3 dimensiones de datos independientes. Mantenimiento: 0/100. 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 Crew Risk Seguro?
Desglose de Puntuación de Confianza — Crew Risk has a Nerq Trust Score of 43.4/100 (E). Measured across 3 independent trust signals.
¿Cuál es la puntuación de confianza de Crew Risk?
Crew Risk tiene una Puntuación de Confianza Nerq de 43.4/100, obteniendo un grado E. Esta puntuación se basa en 3 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Crew Risk?
La señal más fuerte de Crew Risk es mantenimiento con 0/100. No se han detectado vulnerabilidades conocidas.
¿Qué es Crew Risk y quién lo mantiene?
| Autor | https://github.com/deeppath-ai/mcp-crew-risk |
| Categoría | Devops |
| Estrellas | 3 |
| Fuente | https://github.com/deeppath-ai/mcp-crew-risk |
Alternativas Populares en devops
What Is Crew Risk?
Crew Risk is a DevOps tool: Crew Risk evaluates websites for crawling cumplimiento and safety.. It has 3 GitHub stars. Nerq Trust Score: 43/100 (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 Crew Risk's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Crew Risk performs in each:
- Mantenimiento (0/100): Crew Risk is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentación, usage examples, and contribution guidelines.
- Community (0/100): Community adoption is limited. Basado en GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 43.4/100 (E) 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 Crew Risk?
Crew Risk is commonly evaluated by:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Crew Risk's measured signals (mantenimiento 0/100, documentación 0/100, 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 Crew Risk'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 Crew Risk's dependency tree. - Reseña permissions — Understand what access Crew Risk requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Crew Risk 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=Crew Risk - Revisar el/la license — Confirm that Crew Risk'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 Crew Risk
When evaluating whether Crew Risk is safe, consider these category-specific risks:
Understand how Crew Risk processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Crew Risk's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Crew Risk. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Crew Risk 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 Crew Risk's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Crew Risk in violation of its license can expose your organization to legal liability.
Best Practices for Using Crew Risk Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Crew Risk while minimizing risk:
Periodically review how Crew Risk is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Crew Risk and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Crew Risk only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Crew Risk's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Crew Risk is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Crew Risk
Nerq's signals are one input. In the following situations, evaluate Crew Risk'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 Crew Risk's measured trust score of 43.4/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Crew Risk is suitable for any particular use.
How Crew Risk Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Crew Risk's score of 43.4/100 is below the category average of 63/100.
This suggests that Crew Risk trails behind many comparable DevOps 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 Crew Risk 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, Crew Risk'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 Crew Risk's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Crew Risk&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 Crew Risk are strengthening or weakening over time.
Crew Risk vs Alternativas
In the devops category, Crew Risk scores 43.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Crew Risk vs ansible — Trust Score: 74.9/100
- Crew Risk vs Flowise — Trust Score: 67.5/100
- Crew Risk vs learn-claude-code — Trust Score: 72.1/100
Puntos Clave
- Crew Risk has a measured Nerq Trust Score of 43.4/100 (E) — a composite of independent signals, not a suitability judgment.
- Among DevOps tools, Crew Risk scores below the category average of 63/100 (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 Crew Risk Seguro?
¿Cuál es la puntuación de confianza de Crew Risk?
¿Cuáles son alternativas más seguras a Crew Risk?
¿Con qué frecuencia se actualiza la puntuación de Crew Risk?
¿Puedo usar Crew Risk 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.