Apakah Skillos Aman?

Skillos — Nerq Trust Score 70.5/100 (Nilai B). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-07.

Ya, Skillos aman digunakan. Skillos adalah software tool dengan Skor Kepercayaan Nerq sebesar 70.5/100 (B), based on 5 dimensi data independen. Direkomendasikan untuk digunakan. Keamanan: 0/100. Pemeliharaan: 1/100. Popularitas: 0/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-07. Data yang dapat dibaca mesin (JSON).

Apakah Skillos Aman?

YES — Skillos has a Nerq Trust Score of 70.5/100 (B). Memenuhi ambang batas kepercayaan Nerq dengan sinyal kuat di keamanan, pemeliharaan, dan adopsi komunitas. Direkomendasikan untuk digunakan — tinjau laporan lengkap di bawah untuk pertimbangan spesifik.

Analisis Keamanan → Laporan Privasi Skillos →

Berapa skor kepercayaan Skillos?

Skillos memiliki Skor Kepercayaan Nerq 70.5/100 dengan nilai B. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
100
Pemeliharaan
1
Dokumentasi
1
Popularitas
0

Apa temuan keamanan utama untuk Skillos?

Sinyal terkuat Skillos adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Memenuhi ambang verifikasi Nerq 70+.

Skor keamanan: 0/100 (lemah)
Pemeliharaan: 1/100 — aktivitas pemeliharaan rendah
Kepatuhan: 100/100 — covers 52 of 52 jurisdictions
Dokumentasi: 1/100 — dokumentasi terbatas
Popularitas: 0/100 — adopsi komunitas

Apa itu Skillos dan siapa yang mengelolanya?

PembuatAlexeyPevz
KategoriDevops
Sumberhttps://github.com/AlexeyPevz/SkillOS
Protocolsrest

Kepatuhan Regulasi

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

Alternatif Populer di devops

ansible/ansible
84.3/100 · A
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FlowiseAI/Flowise
76.9/100 · B
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shareAI-lab/learn-claude-code
81.5/100 · A
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continuedev/continue
84.4/100 · A
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wshobson/agents
88.7/100 · A
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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 keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses Skillos's Safety

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

Dependency keamanan

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

Update frequency

Regularly check for updates to Skillos. Keamanan 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 kepatuhan

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

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 kepatuhan with your keamanan policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Skillos's keamanan 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:

For each scenario, evaluate whether Skillos's trust score of 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 dimensi.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks sedang 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 pemeliharaan 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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, 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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Skillos are strengthening or weakening over time.

Skillos vs Alternatif

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

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Skillos Aman?
Ya, aman digunakan. SkillOS dengan Skor Kepercayaan Nerq sebesar 70.5/100 (B). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Skillos?
SkillOS: 70.5/100 (B). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=SkillOS
Apa alternatif yang lebih aman dari Skillos?
Dalam kategori Devops, higher-rated alternatives include ansible/ansible (84/100), FlowiseAI/Flowise (77/100), shareAI-lab/learn-claude-code (82/100). SkillOS scores 70.5/100.
Seberapa sering skor keamanan Skillos diperbarui?
Nerq continuously monitors Skillos and updates its trust score as new data becomes available. Current: 70.5/100 (B), last terverifikasi 2026-04-07. API: GET nerq.ai/v1/preflight?target=SkillOS
Bisakah saya menggunakan Skillos di lingkungan yang diatur?
Skillos memenuhi ambang verifikasi Nerq (70+). Aman untuk penggunaan produksi.
API: /v1/preflight Trust Badge API Docs

Lihat juga

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