Skillos é seguro?

Skillos — Nerq Trust Score 70.5/100 (Grau B). Com base na análise de 5 dimensões de confiança, é geralmente seguro, mas com algumas preocupações. Última atualização: 2026-04-01.

Sim, Skillos é seguro para usar. Skillos is a software tool com uma Pontuação de Confiança Nerq de 70.5/100 (B), based on 5 independent data dimensions. It is recommended for use. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Dados legíveis por máquina (JSON).

Skillos é seguro?

YES — Skillos tem uma Pontuação de Confiança Nerq de 70.5/100 (B). Atende ao limiar de confiança do Nerq com sinais fortes em segurança, manutenção e adoção pela comunidade. Recommended for use — review the full report below for specific considerations.

Análise de Segurança → Relatório de Privacidade →

Qual é a pontuação de confiança de Skillos?

Skillos tem uma Pontuação de Confiança Nerq de 70.5/100, obtendo grau B. Esta pontuação é baseada em 5 dimensões medidas independentemente.

Segurança
0
Compliance
100
Manutenção
1
Documentação
1
Popularidade
0

Quais são as principais descobertas de segurança de Skillos?

O sinal mais forte de Skillos é compliance com 100/100. Nenhuma vulnerabilidade conhecida foi detectada. Atende ao limiar verificado Nerq de 70+.

Segurança score: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — community adoption

O que é Skillos e quem o mantém?

AutorAlexeyPevz
Categoriadevops
Sourcehttps://github.com/AlexeyPevz/SkillOS
Protocolsrest

Conformidade Regulatória

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

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What Is Skillos?

Skillos is a DevOps tool: Self-hosted AI agent orchestration framework. Nerq Trust Score: 70/100 (B).

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 Skillos's Safety

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

The overall Trust Score of 70.5/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.

Who Should Use Skillos?

Skillos is designed for:

Risk guidance: Skillos meets the minimum threshold for production use, but we recommend monitoring for security advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.

How to Verify Skillos's Safety Yourself

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

  1. Check the source code — Review the repository's security 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 Skillos's dependency tree.
  3. Avaliação permissions — Understand what access Skillos requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Skillos 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=SkillOS
  6. Revise o/a license — Confirm that Skillos'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Skillos

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

Data handling

Understand how Skillos processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

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

Update frequency

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

Third-party integrations

If Skillos 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 compliance

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

Skillos and the EU AI Act

Skillos is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.

Nerq's compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.

Best Practices for Using Skillos Safely

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

Conduct regular audits

Periodically review how Skillos is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Skillos's security 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 Skillos is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Skillos?

Even well-trusted tools aren't right for every situation. Consider avoiding Skillos in these scenarios:

A pontuação de confiança de

For each scenario, evaluate whether Skillos de 70.5/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Skillos 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. Skillos's score of 70.5/100 is above the category average of 63/100.

This positions Skillos favorably among DevOps tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.

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.

Trust Score History

Nerq continuously monitors Skillos 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, Skillos'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 Skillos's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=SkillOS&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 Skillos are strengthening or weakening over time.

Skillos vs Alternatives

In the devops category, Skillos scores 70.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Pontos Principais

Perguntas Frequentes

É Skillos seguro para usar?
Yes, it is seguro para usar. SkillOS tem uma Pontuação de Confiança Nerq de 70.5/100 (B). Sinal mais forte: compliance (100/100). Score based on security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100).
O que é Skillos's trust score?
SkillOS: 70.5/100 (B). Score based on: security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=SkillOS
Quais são alternativas mais seguras a Skillos?
In the devops category, higher-rated alternatives include ansible/ansible (84/100), FlowiseAI/Flowise (77/100), shareAI-lab/learn-claude-code (82/100). SkillOS scores 70.5/100.
How often is Skillos's safety score updated?
Nerq continuously monitors Skillos and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 70.5/100 (B), last verified 2026-04-01. API: GET nerq.ai/v1/preflight?target=SkillOS
Can I use Skillos in a regulated environment?
Yes — Skillos meets the Nerq Verified threshold (70+). Combine this with your internal security review for regulated deployments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: As pontuações de confiança da Nerq são avaliações automatizadas baseadas em sinais publicamente disponíveis. Não são endossos ou garantias. Sempre realize sua própria verificação.

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