¿Es Kagentinstruct Seguro?
Kagentinstruct — Nerq Trust Score 54.0/100 (Grado D). Basado en el análisis de 4 dimensiones de confianza, se tiene preocupaciones de seguridad notables. Última actualización: 2026-04-05.
Usa Kagentinstruct con precaución. Kagentinstruct es un software tool con un Nerq Trust Score de 54.0/100 (D), basado en 4 dimensiones de datos independientes. Por debajo del umbral verificado de Nerq Mantenimiento: 0/100. Popularidad: 0/100. Datos de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. Última actualización: 2026-04-05. Datos legibles por máquina (JSON).
¿Es Kagentinstruct Seguro?
CAUTION — Kagentinstruct has a Nerq Trust Score of 54.0/100 (D). 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.
¿Cuál es la puntuación de confianza de Kagentinstruct?
Kagentinstruct tiene una Puntuación de Confianza Nerq de 54.0/100, obteniendo un grado D. Esta puntuación se basa en 4 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Kagentinstruct?
La señal más fuerte de Kagentinstruct es cumplimiento con 87/100. No se han detectado vulnerabilidades conocidas. Aún no ha alcanzado el umbral verificado de Nerq de 70+.
¿Qué es Kagentinstruct y quién lo mantiene?
| Autor | kwaikeg |
| Categoría | Agent |
| Estrellas | 49 |
| Fuente | https://huggingface.co/datasets/kwaikeg/KAgentInstruct |
| Protocols | huggingface_hub |
Cumplimiento Regulatorio
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en agent
What Is Kagentinstruct?
Kagentinstruct is a software tool in the agent category: N/A. It has 49 GitHub stars. Nerq Trust Score: 54/100 (D).
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 Kagentinstruct's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Kagentinstruct performs in each:
- Mantenimiento (0/100): Kagentinstruct 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.
- Compliance (87/100): Kagentinstruct 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 54.0/100 (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 Kagentinstruct?
Kagentinstruct is designed for:
- Developers and teams working with agent tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Kagentinstruct 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 Kagentinstruct'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 Kagentinstruct's dependency tree. - Reseña permissions — Understand what access Kagentinstruct requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Kagentinstruct 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=KAgentInstruct - Revisar el/la license — Confirm that Kagentinstruct'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 Kagentinstruct
When evaluating whether Kagentinstruct is safe, consider these category-specific risks:
Understand how Kagentinstruct processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Kagentinstruct's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Kagentinstruct. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Kagentinstruct 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 Kagentinstruct's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Kagentinstruct in violation of its license can expose your organization to legal liability.
Best Practices for Using Kagentinstruct Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Kagentinstruct while minimizing risk:
Periodically review how Kagentinstruct is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Kagentinstruct and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Kagentinstruct only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Kagentinstruct's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Kagentinstruct is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Kagentinstruct?
Even promising tools aren't right for every situation. Consider avoiding Kagentinstruct 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 Kagentinstruct's trust score of 54.0/100 meets your organization's risk tolerance. We recommend running a manual seguridad assessment alongside the automated Nerq score.
How Kagentinstruct Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among agent tools, the average Trust Score is 62/100. Kagentinstruct's score of 54.0/100 is near the category average of 62/100.
This places Kagentinstruct in line with the typical agent 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 Kagentinstruct 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, Kagentinstruct'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 Kagentinstruct's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=KAgentInstruct&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 Kagentinstruct are strengthening or weakening over time.
Kagentinstruct vs Alternativas
In the agent category, Kagentinstruct scores 54.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Kagentinstruct vs pocketpaw — Trust Score: 76.8/100
- Kagentinstruct vs agent-clip — Trust Score: 48.9/100
- Kagentinstruct vs KrillClaw — Trust Score: 66.2/100
Puntos Clave
- Kagentinstruct has a Trust Score of 54.0/100 (D) and is not yet Nerq Verified.
- Kagentinstruct shows moderado trust signals. Conduct thorough due diligence before deploying to production environments.
- Among agent tools, Kagentinstruct scores near 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 Kagentinstruct Seguro?
¿Cuál es la puntuación de confianza de Kagentinstruct?
What are safer alternatives to Kagentinstruct?
How often is Kagentinstruct's safety score updated?
Can I use Kagentinstruct in a regulated environment?
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.