Skillbot est-il sûr ?

Skillbot — Nerq Trust Score 49.8/100 (Note D). Sur la base de l'analyse de 1 dimensions de confiance, il est a des préoccupations de sécurité notables. Dernière mise à jour : 2026-04-22.

Faites preuve de prudence avec Skillbot. Skillbot est un software tool avec un Nerq Trust Score de 49.8/100 (D), basé sur 3 dimensions de données indépendantes. En dessous du seuil vérifié Nerq Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: 2026-04-22. Données lisibles par machine (JSON).

Skillbot est-il sûr ?

NO — USE WITH CAUTION — Skillbot has a Nerq Trust Score of 49.8/100 (D). Il présente des signaux de confiance inférieurs à la moyenne avec des lacunes significatives in sécurité, maintenance, or documentation. Not recommended for production use without thorough manual review and additional sécurité measures.

Analyse de Sécurité → Rapport de confidentialité de Skillbot →

Quel est le score de confiance de Skillbot ?

Skillbot a un Score de Confiance Nerq de 49.8/100, obtenant la note D. Ce score est basé sur 1 dimensions mesurées indépendamment.

Conformité
82

Quels sont les résultats de sécurité clés pour Skillbot ?

Le signal le plus fort de Skillbot est conformité à 82/100. Aucune vulnérabilité connue n'a été détectée. N'a pas encore atteint le seuil vérifié Nerq de 70+.

Conformité: 82/100 — covers 42 of 52 jurisdictions

Qu'est-ce que Skillbot et qui le maintient ?

AuteurMalavHNaik
CatégorieUncategorized
Sourcehttps://huggingface.co/datasets/MalavHNaik/skillbot
Protocolshuggingface_hub

Conformité réglementaire

EU AI Act Risk ClassNot assessed
Compliance Score82/100
JurisdictionsAssessed across 52 jurisdictions

What Is Skillbot?

Skillbot is a software tool in the uncategorized category: N/A. Nerq Trust Score: 50/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sécurité vulnerabilities, maintenance activity, license conformité, and adoption par la communauté.

How Nerq Assesses Skillbot's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Skillbot performs in each:

The overall Trust Score of 49.8/100 (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 Skillbot?

Skillbot is designed for:

Risk guidance: We recommend caution with Skillbot. The low trust score suggests potential risks in sécurité, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Skillbot's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Examiner le/la repository sécurité policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Skillbot's dependency tree.
  3. Avis permissions — Understand what access Skillbot requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Skillbot in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=skillbot
  6. Examiner le/la license — Confirm that Skillbot'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.
  7. 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 sécurité concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Skillbot

When evaluating whether Skillbot is safe, consider these category-specific risks:

Data handling

Understand how Skillbot processes, stores, and transmits your data. Examiner le/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency sécurité

Check Skillbot's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sécurité risk.

Update frequency

Regularly check for updates to Skillbot. Sécurité patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Skillbot 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.

License and IP conformité

Verify that Skillbot's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Skillbot in violation of its license can expose your organization to legal liability.

Best Practices for Using Skillbot Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Skillbot while minimizing risk:

Conduct regular audits

Periodically review how Skillbot is used in your workflow. Check for unexpected behavior, permissions drift, and conformité with your sécurité policies.

Keep dependencies updated

Ensure Skillbot and all its dependencies are running the latest stable versions to benefit from sécurité patches.

Follow least privilege

Grant Skillbot only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for sécurité advisories

Subscribe to Skillbot's sécurité advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Skillbot is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Skillbot?

Even promising tools aren't right for every situation. Consider avoiding Skillbot in these scenarios:

For each scenario, evaluate whether Skillbot's trust score of 49.8/100 meets your organization's risk tolerance. We recommend running a manual sécurité assessment alongside the automated Nerq score.

How Skillbot 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. Skillbot's score of 49.8/100 is below the category average of 62/100.

This suggests that Skillbot trails behind many comparable uncategorized tools. Organizations with strict sécurité 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 modéré 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 Skillbot 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 maintenance patterns change, Skillbot'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 sécurité and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Skillbot's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=skillbot&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 — sécurité, maintenance, documentation, conformité, and community — has evolved independently, providing granular visibility into which aspects of Skillbot are strengthening or weakening over time.

Points Essentiels

Questions fréquentes

Skillbot est-il sûr ?
Faire preuve de prudence. skillbot avec un Nerq Trust Score de 49.8/100 (D). Signal le plus fort : conformité (82/100). Score basé sur multiple trust dimensions.
Quel est le score de confiance de Skillbot ?
skillbot: 49.8/100 (D). Score basé sur multiple trust dimensions. Compliance: 82/100. Les scores sont mis à jour lorsque de nouvelles données sont disponibles. API: GET nerq.ai/v1/preflight?target=skillbot
Quelles sont les alternatives plus sûres à Skillbot ?
Dans la catégorie Uncategorized, d'autres software tool sont en cours d'analyse — revenez bientôt. skillbot scores 49.8/100.
À quelle fréquence le score de sécurité de Skillbot est-il mis à jour ?
Nerq continuously monitors Skillbot and updates its trust score as new data becomes available. Current: 49.8/100 (D), last vérifié 2026-04-22. API: GET nerq.ai/v1/preflight?target=skillbot
Puis-je utiliser Skillbot dans un environnement réglementé ?
Skillbot n'a pas atteint le seuil de vérification Nerq de 70. Vérification supplémentaire recommandée.
API: /v1/preflight Trust Badge API Docs

Voir aussi

Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.

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