¿Es Knowledgeassistant Seguro?
Knowledgeassistant — Nerq Puntuación de Confianza 50.6/100 (Grado D). Basado en el análisis de 4 dimensiones de confianza, se tiene preocupaciones de seguridad notables. Última actualización: 2026-04-01.
Usa Knowledgeassistant con precaución. Knowledgeassistant is a software tool with a Nerq Puntuación de Confianza de 50.6/100 (D), based on 4 independent data dimensions. It is below the recommended threshold of 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Última actualización: 2026-04-01. Datos legibles por máquina (JSON).
¿Es Knowledgeassistant Seguro?
CAUTION — Knowledgeassistant tiene una Puntuación de Confianza Nerq de 50.6/100 (D). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
¿Cuál es la puntuación de confianza de Knowledgeassistant?
Knowledgeassistant tiene una Puntuación de Confianza Nerq de 50.6/100, obteniendo un grado D. Esta puntuación se basa en 4 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Knowledgeassistant?
La señal más fuerte de Knowledgeassistant es cumplimiento con 87/100. No se han detectado vulnerabilidades conocidas. Aún no ha alcanzado el umbral verificado de Nerq de 70+.
¿Qué es Knowledgeassistant y quién lo mantiene?
| Autor | ankit005man |
| Categoría | AI assistant |
| Fuente | https://huggingface.co/spaces/ankit005man/KnowledgeAssistant |
| Protocols | huggingface_hub |
Cumplimiento Regulatorio
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en AI assistant
What Is Knowledgeassistant?
Knowledgeassistant is a software tool in the AI assistant category: N/A. Nerq Trust Puntuación: 51/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Knowledgeassistant's Safety
Nerq's Puntuación de Confianza is calculated from 13+ independent signals aggregated into five dimensions. Here is how Knowledgeassistant performs in each:
- Mantenimiento (0/100): Knowledgeassistant 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 documentation, usage examples, and contribution guidelines.
- Compliance (87/100): Knowledgeassistant is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Puntuación de Confianza de 50.6/100 (D) 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 Knowledgeassistant?
Knowledgeassistant is designed for:
- Developers and teams working with AI assistant tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Knowledgeassistant is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Knowledgeassistant's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Revisar the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Knowledgeassistant's dependency tree. - Revisar permissions — Understand what access Knowledgeassistant requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Knowledgeassistant 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=KnowledgeAssistant - Revisar the license — Confirm that Knowledgeassistant'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Knowledgeassistant
When evaluating whether Knowledgeassistant is safe, consider these category-specific risks:
Understand how Knowledgeassistant processes, stores, and transmits your data. Revisar the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Knowledgeassistant's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Knowledgeassistant. Security patches and bug fixes are only effective if you're running the latest version.
If Knowledgeassistant 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 Knowledgeassistant's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Knowledgeassistant in violation of its license can expose your organization to legal liability.
Best Practices for Using Knowledgeassistant Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Knowledgeassistant while minimizing risk:
Periodically review how Knowledgeassistant is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Knowledgeassistant and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Knowledgeassistant only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Knowledgeassistant's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Knowledgeassistant is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Knowledgeassistant?
Even promising tools aren't right for every situation. Consider avoiding Knowledgeassistant in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Knowledgeassistant de 50.6/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Knowledgeassistant Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among AI assistant tools, the average Puntuación de Confianza is 62/100. Knowledgeassistant's score of 50.6/100 is below the category average of 62/100.
This suggests that Knowledgeassistant trails behind many comparable AI assistant tools. Organizations with strict security 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 moderate 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 Knowledgeassistant 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 maintenance patterns change, Knowledgeassistant'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Knowledgeassistant's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=KnowledgeAssistant&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Knowledgeassistant are strengthening or weakening over time.
Knowledgeassistant vs Alternatives
In the AI assistant category, Knowledgeassistant tiene una puntuación de 50.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Knowledgeassistant vs Captain Dackie — Trust Puntuación: 49.7/100
- Knowledgeassistant vs Neta-Lumina — Trust Puntuación: 60.3/100
- Knowledgeassistant vs gemma-3-12b-it-heretic — Trust Puntuación: 58.8/100
Puntos Clave
- Knowledgeassistant tiene una Puntuación de Confianza de 50.6/100 (D) and is not yet Nerq Verified.
- Knowledgeassistant shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among AI assistant tools, Knowledgeassistant 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 Knowledgeassistant safe to use?
¿Cuál es la puntuación de confianza de Knowledgeassistant?
¿Cuáles son alternativas más seguras a Knowledgeassistant?
How often is Knowledgeassistant's safety score updated?
Can I use Knowledgeassistant in a regulated environment?
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.