Apakah Scalio Aman?
Scalio — Nerq Trust Score 55.6/100 (Nilai D). Skor berdasarkan 5 independent trust signals.
Scalio adalah software tool dengan Skor Kepercayaan Nerq sebesar 55.6/100 (D), based on 5 dimensi data independen. 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: n/a. Data yang dapat dibaca mesin (JSON).
Apakah Scalio Aman?
Rincian Skor Kepercayaan — Scalio has a Nerq Trust Score of 55.6/100 (D). Measured across 5 independent trust signals.
Berapa skor kepercayaan Scalio?
Scalio memiliki Skor Kepercayaan Nerq 55.6/100 dengan nilai D. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Scalio?
Sinyal terkuat Scalio adalah kepatuhan pada 87/100. Tidak ada kerentanan yang diketahui terdeteksi.
Apa itu Scalio dan siapa yang mengelolanya?
| Pembuat | blckzr |
| Kategori | Education |
| Sumber | https://github.com/blckzr/Scalio |
Kepatuhan Regulasi
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatif Populer di education
What Is Scalio?
Scalio is a software tool in the education category: Scalio is an AI-powered multi-agent study assistant for tech career readiness.. Nerq Trust Score: 56/100 (D).
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 Scalio's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Scalio performs in each:
- Keamanan (0/100): Scalio's keamanan posture is poor. This score factors in known CVEs, dependency vulnerabilities, keamanan policy presence, and code signing practices.
- Pemeliharaan (1/100): Scalio 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 dokumentasi, usage examples, and contribution guidelines.
- Compliance (87/100): Scalio is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Berdasarkan GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 55.6/100 (D) 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 Scalio?
Scalio is commonly evaluated by:
- Developers and teams working with education tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Scalio's measured signals (keamanan 0/100, pemeliharaan 1/100, dokumentasi 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 Scalio's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Tinjau repository's keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Scalio's dependency tree. - Ulasan permissions — Understand what access Scalio requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Scalio 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=Scalio - Tinjau license — Confirm that Scalio'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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Scalio
When evaluating whether Scalio is safe, consider these category-specific risks:
Understand how Scalio processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Scalio's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Scalio. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Scalio 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 Scalio's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Scalio in violation of its license can expose your organization to legal liability.
Scalio and the EU AI Act
Scalio 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 Scalio Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Scalio while minimizing risk:
Periodically review how Scalio is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Scalio and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Scalio only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Scalio's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Scalio is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Scalio
Nerq's signals are one input. In the following situations, evaluate Scalio'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 Scalio's measured trust score of 55.6/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Scalio is suitable for any particular use.
How Scalio Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among education tools, the average Trust Score is 62/100. Scalio's score of 55.6/100 is near the category average of 62/100.
This places Scalio in line with the typical education 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 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 Scalio 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, Scalio'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 Scalio's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Scalio&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 Scalio are strengthening or weakening over time.
Scalio vs Alternatif
In the education category, Scalio scores 55.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Scalio vs Mr.-Ranedeer-AI-Tutor — Trust Score: 59.4/100
- Scalio vs hello-agents — Trust Score: 70.1/100
- Scalio vs owl — Trust Score: 60.9/100
Kesimpulan Utama
- Scalio has a measured Nerq Trust Score of 55.6/100 (D) — a composite of independent signals, not a suitability judgment.
- Among education tools, Scalio scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — keamanan, pemeliharaan, dokumentasi, kepatuhan, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Pertanyaan yang Sering Diajukan
Apakah Scalio Aman?
Berapa skor kepercayaan Scalio?
Apa alternatif yang lebih aman dari Scalio?
Seberapa sering skor keamanan Scalio diperbarui?
Bisakah saya menggunakan Scalio di lingkungan yang diatur?
Lihat juga
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