Skillbot è sicuro?

Skillbot — Nerq Trust Score 49.8/100 (Grado D). Sulla base dell'analisi di 1 dimensioni di fiducia, è ha preoccupazioni di sicurezza notevoli. Ultimo aggiornamento: 2026-04-22.

Fai attenzione con Skillbot. Skillbot è un software tool con un Punteggio di fiducia Nerq di 49.8/100 (D), based on 3 dimensioni di dati indipendenti. Sotto la soglia verificata Nerq Dati provenienti da molteplici fonti pubbliche tra cui registri di pacchetti, GitHub, NVD, OSV.dev e OpenSSF Scorecard. Ultimo aggiornamento: 2026-04-22. Dati leggibili dalle macchine (JSON).

Skillbot è sicuro?

NO — USE WITH CAUTION — Skillbot has a Nerq Trust Score of 49.8/100 (D). Ha segnali di fiducia inferiori alla media con lacune significative in sicurezza, manutenzione, or documentazione. Not recommended for production use without thorough manual review and additional sicurezza measures.

Analisi di Sicurezza → Report sulla privacy di Skillbot →

Qual è il punteggio di fiducia di Skillbot?

Skillbot ha un Nerq Trust Score di 49.8/100 con voto D. Questo punteggio si basa su 1 dimensioni misurate indipendentemente, tra cui sicurezza, manutenzione e adozione della community.

Conformità
82

Quali sono i risultati di sicurezza chiave per Skillbot?

Il segnale più forte di Skillbot è conformità a 82/100. Non sono state rilevate vulnerabilità note. It has not yet reached the Nerq Verified threshold of 70+.

Conformità: 82/100 — covers 42 of 52 jurisdictions

Cos'è Skillbot e chi lo mantiene?

AutoreMalavHNaik
CategoriaUncategorized
Fontehttps://huggingface.co/datasets/MalavHNaik/skillbot
Protocolshuggingface_hub

Conformità normativa

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 sicurezza vulnerabilities, manutenzione activity, license conformità, and adozione della comunità.

How Nerq Assesses Skillbot's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioni. 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 sicurezza, manutenzione, 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 — Controlla repository sicurezza policy, open issues, and recent commits for signs of active manutenzione.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Skillbot's dependency tree.
  3. Recensione 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. Controlla 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 sicurezza 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. Controlla tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency sicurezza

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

Update frequency

Regularly check for updates to Skillbot. Sicurezza 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 conformità

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 conformità with your sicurezza policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for sicurezza advisories

Subscribe to Skillbot's sicurezza 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 sicurezza 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 sicurezza 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 moderato 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 manutenzione 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 sicurezza and quality. Conversely, a downward trend may signal reduced manutenzione, 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 — sicurezza, manutenzione, documentazione, conformità, and community — has evolved independently, providing granular visibility into which aspects of Skillbot are strengthening or weakening over time.

Punti chiave

Domande frequenti

Skillbot è sicuro?
Fai attenzione. skillbot con un Punteggio di fiducia Nerq di 49.8/100 (D). Segnale più forte: conformità (82/100). Punteggio basato su multiple trust dimensioni.
Qual è il punteggio di fiducia di Skillbot?
skillbot: 49.8/100 (D). Punteggio basato su multiple trust dimensioni. Compliance: 82/100. I punteggi si aggiornano quando nuovi dati diventano disponibili. API: GET nerq.ai/v1/preflight?target=skillbot
Quali sono alternative più sicure a Skillbot?
Nella categoria Uncategorized, altri software tool sono in fase di analisi — ricontrolla presto. skillbot scores 49.8/100.
Con che frequenza viene aggiornato il punteggio di Skillbot?
Nerq continuously monitors Skillbot and updates its trust score as new data becomes available. Current: 49.8/100 (D), last verificato 2026-04-22. API: GET nerq.ai/v1/preflight?target=skillbot
Posso usare Skillbot in un ambiente regolamentato?
Skillbot non ha raggiunto la soglia di verifica Nerq di 70. Si consiglia ulteriore verifica.
API: /v1/preflight Trust Badge API Docs

Vedi anche

Disclaimer: I punteggi di fiducia Nerq sono valutazioni automatizzate basate su segnali disponibili pubblicamente. Non costituiscono raccomandazioni o garanzie. Effettua sempre la tua verifica personale.

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