هل Skillos آمن؟

Skillos — Nerq درجة الثقة 61.5/100 (الدرجة C). التقييم مبني على 5 independent trust signals.

Skillos هو software tool بدرجة ثقة Nerq 61.5/100 (C), بناءً على 5 أبعاد بيانات مستقلة. الأمان: 0/100. الصيانة: 1/100. الشعبية: 0/100. البيانات مصدرها قراءة آلية.

هل Skillos آمن؟

تفاصيل درجة الثقة — Skillos لديه درجة ثقة Nerq تبلغ 61.5/100 (C). Measured across 5 independent trust signals.

تحليل الأمان → تقرير الخصوصية →

ما هي درجة ثقة Skillos؟

حصل Skillos على درجة ثقة Nerq تبلغ 61.5/100 بدرجة C. يعتمد هذا التقييم على 5 أبعاد مُقاسة بشكل مستقل.

الأمان
0
الامتثال
100
الصيانة
1
التوثيق
1
الشعبية
0

ما هي النتائج الأمنية الرئيسية لـ Skillos؟

أقوى إشارة لـ Skillos هي الامتثال بدرجة 100/100. لم يتم اكتشاف أي ثغرات أمنية معروفة.

⚠درجة الأمان: 0/100 (ضعيف)
⚠الصيانة: 1/100 — نشاط صيانة منخفض
⚠الامتثال: 100/100 — covers 52 of 52 ولاية قضائيةs
⚠التوثيق: 1/100 — توثيق محدود
⚠الشعبية: 0/100 — اعتماد المجتمع

ما هو Skillos ومن يديره؟

المؤلفAlexeyPevz
الفئةDevops
المصدرhttps://github.com/AlexeyPevz/SkillOS
Protocolsrest

الامتثال التنظيمي

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
الاختصاص القضائيsAssessed across 52 ولاية قضائيةs

بدائل شائعة في devops

ansible/ansible
74.9/100 · B
github
FlowiseAI/Flowise
67.5/100 · C
github
shareAI-lab/learn-claude-code
72.1/100 · B
github
continuedev/continue
75.0/100 · B
github
wshobson/agents
79.3/100 · B
github

What Is Skillos?

Skillos is a DevOps tool: Self-hosted AI agent orchestration framework. Nerq درجة الثقة: 62/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and اعتماد المجتمع.

How Nerq Assesses Skillos's Safety

Nerq's درجة الثقة is calculated from 13+ independent signals aggregated into five أبعاد. Here is how Skillos performs in each:

The overall درجة الثقة of 61.5/100 (C) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Skillos?

Skillos is commonly evaluated by:

كيفية read the signals: Skillos's measured signals (security 0/100, maintenance 1/100, documentation 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

كيفية 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 ثغرات أمنية معروفة in Skillos's dependency tree.
  3. مراجعة 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. مراجعة the 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 عملاء 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 ثغرات أمنية معروفة. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Skillos. الأمان 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.

الترخيص 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 ولاية قضائيةs 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.

Situations That Warrant مستقل Review of Skillos

Nerq's signals are one input. In the following situations, evaluate Skillos's measured signals against your own requirements before making a decision:

For each situation, compare Skillos's measured trust score of 61.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Skillos is suitable for any particular use.

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 درجة الثقة is 63/100. Skillos's score of 61.5/100 is near the category average of 63/100.

This places Skillos in line with the typical DevOps 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 متوسط 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.

درجة الثقة History

Nerq continuously monitors Skillos and recalculates its درجة الثقة 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 البدائل

In the devops category, Skillos scores 61.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

النقاط الرئيسية

الأسئلة الشائعة

هل Skillos آمن؟
SkillOS بدرجة ثقة Nerq 61.5/100 (C). أقوى إشارة: الامتثال (100/100). التقييم مبني على الأمان (0/100), الصيانة (1/100), الشعبية (0/100), التوثيق (1/100).
ما هي درجة ثقة Skillos؟
SkillOS: 61.5/100 (C). التقييم مبني على الأمان (0/100), الصيانة (1/100), الشعبية (0/100), التوثيق (1/100). Compliance: 100/100. يتم تحديث النتائج عند توفر بيانات جديدة. API: GET nerq.ai/v1/preflight?target=SkillOS
ما هي البدائل الأكثر أمانًا لـ Skillos؟
في فئة Devops، البدائل الأعلى تقييمًا تشمل ansible/ansible (75/100), FlowiseAI/Flowise (68/100), shareAI-lab/learn-claude-code (72/100). SkillOS scores 61.5/100.
كم مرة يتم تحديث درجة أمان Skillos؟
Nerq recomputes Skillos's trust score as new data becomes available. Current: 61.5/100 (C). API: GET nerq.ai/v1/preflight?target=SkillOS
هل يمكنني استخدام Skillos في بيئة منظمة؟
Skillos: 61.5/100 (C). Compliance: 52 of 52 ولاية قضائيةs. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge واجهة برمجة التطبيقات Docs

انظر أيضاً

إخلاء المسؤولية: درجات ثقة Nerq هي تقييمات آلية مبنية على إشارات متاحة للعموم. وهي ليست توصيات أو ضمانات. قم دائمًا بإجراء العناية الواجبة الخاصة بك.

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