Is Skillos veilig?
Skillos — Nerq Trust Score 61.5/100 (C-beoordeling). Score gebaseerd op 5 independent trust signals.
Skillos is een software tool met een Nerq Vertrouwensscore van 61.5/100 (C), based on 5 onafhankelijke gegevensdimensies. Beveiliging: 0/100. Onderhoud: 1/100. Populariteit: 0/100. Gegevens afkomstig van meerdere openbare bronnen waaronder pakketregisters, GitHub, NVD, OSV.dev en OpenSSF Scorecard. Laatst bijgewerkt: n/a. Machineleesbare gegevens (JSON).
Is Skillos veilig?
Vertrouwensscore details — Skillos has a Nerq Trust Score of 61.5/100 (C). Measured across 5 independent trust signals.
Wat is de vertrouwensscore van Skillos?
Skillos heeft een Nerq Trust Score van 61.5/100 met het cijfer C. Deze score is gebaseerd op 5 onafhankelijk gemeten dimensies, waaronder beveiliging, onderhoud en community-adoptie.
Wat zijn de belangrijkste beveiligingsbevindingen voor Skillos?
Het sterkste signaal van Skillos is naleving met 100/100. Er zijn geen bekende kwetsbaarheden gedetecteerd.
Wat is Skillos en wie onderhoudt het?
| Ontwikkelaar | AlexeyPevz |
| Categorie | Devops |
| Bron | https://github.com/AlexeyPevz/SkillOS |
| Protocols | rest |
Naleving van regelgeving
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdicties |
Populaire alternatieven in devops
What Is Skillos?
Skillos is a DevOps tool: Self-hosted AI agent orchestration framework. Nerq Trust Score: 62/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including beveiliging vulnerabilities, onderhoud activity, license naleving, and gemeenschapsacceptatie.
How Nerq Assesses Skillos's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensies. Here is how Skillos performs in each:
- Beveiliging (0/100): Skillos's beveiliging posture is poor. This score factors in known CVEs, dependency vulnerabilities, beveiliging policy presence, and code signing practices.
- Onderhoud (1/100): Skillos is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentatie, usage examples, and contribution guidelines.
- Compliance (100/100): Skillos is broadly compliant. Assessed against regulations in 52 jurisdicties including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Gebaseerd op GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score 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:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Skillos's measured signals (beveiliging 0/100, onderhoud 1/100, documentatie 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.
How to Verify Skillos's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Bekijk de repository's beveiliging policy, open issues, and recent commits for signs of active onderhoud.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Skillos's dependency tree. - Beoordeling permissions — Understand what access Skillos requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Skillos in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=SkillOS - Bekijk de 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.
- 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 beveiliging 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:
Understand how Skillos processes, stores, and transmits your data. Bekijk de tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Skillos's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher beveiliging risk.
Regularly check for updates to Skillos. Beveiliging patches and bug fixes are only effective if you're running the latest version.
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.
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 naleving assessment covers 52 jurisdicties worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal naleving.
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:
Periodically review how Skillos is used in your workflow. Check for unexpected behavior, permissions drift, and naleving with your beveiliging policies.
Ensure Skillos and all its dependencies are running the latest stable versions to benefit from beveiliging patches.
Grant Skillos only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Skillos's beveiliging advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
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 Independent 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:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
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 Trust Score 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 matig 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 onderhoud 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 beveiliging and quality. Conversely, a downward trend may signal reduced onderhoud, 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 — beveiliging, onderhoud, documentatie, naleving, and community — has evolved independently, providing granular visibility into which aspects of Skillos are strengthening or weakening over time.
Skillos vs Alternatieven
In the devops category, Skillos scores 61.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Skillos vs ansible — Trust Score: 74.9/100
- Skillos vs Flowise — Trust Score: 67.5/100
- Skillos vs learn-claude-code — Trust Score: 72.1/100
Belangrijkste conclusies
- Skillos has a measured Nerq Trust Score of 61.5/100 (C) — a composite of independent signals, not a suitability judgment.
- Among DevOps tools, Skillos scores near the category average of 63/100 (a positional measurement relative to peers).
- The individual signals — beveiliging, onderhoud, documentatie, naleving, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Veelgestelde vragen
Is Skillos veilig?
Wat is de vertrouwensscore van Skillos?
Wat zijn veiligere alternatieven voor Skillos?
Hoe vaak wordt de beveiligingsscore van Skillos bijgewerkt?
Kan ik Skillos gebruiken in een gereguleerde omgeving?
Zie ook
Disclaimer: Nerq-vertrouwensscores zijn geautomatiseerde beoordelingen op basis van openbaar beschikbare signalen. Ze vormen geen aanbeveling of garantie. Voer altijd uw eigen verificatie uit.