Apakah Such Team Aman?
Such Team — Nerq Trust Score 66.9/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-23.
Gunakan Such Team dengan hati-hati. Such Team adalah software tool dengan Skor Kepercayaan Nerq sebesar 66.9/100 (C), based on 5 dimensi data independen. Di bawah ambang batas terverifikasi Nerq 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: 2026-04-23. Data yang dapat dibaca mesin (JSON).
Apakah Such Team Aman?
CAUTION — Such Team has a Nerq Trust Score of 66.9/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area perhatian that warrant attention. Suitable for development use — review keamanan and pemeliharaan signals before production deployment.
Berapa skor kepercayaan Such Team?
Such Team memiliki Skor Kepercayaan Nerq 66.9/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Such Team?
Sinyal terkuat Such Team adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.
Apa itu Such Team dan siapa yang mengelolanya?
| Pembuat | wowsuchbot |
| Kategori | Coding |
| Sumber | https://github.com/wowsuchbot/such-team |
Kepatuhan Regulasi
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatif Populer di coding
What Is Such Team?
Such Team is a software tool in the coding category: AI-powered automation and intelligent agent-driven solutions for web development.. Nerq Trust Score: 67/100 (C).
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 Such Team's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Such Team performs in each:
- Keamanan (0/100): Such Team's keamanan posture is poor. This score factors in known CVEs, dependency vulnerabilities, keamanan policy presence, and code signing practices.
- Pemeliharaan (1/100): Such Team 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 (100/100): Such Team 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 66.9/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Such Team?
Such Team is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Such Team is suitable for development and testing environments. Before production deployment, conduct a thorough review of its keamanan posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Such Team'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 Such Team's dependency tree. - Ulasan permissions — Understand what access Such Team requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Such Team 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=such-team - Tinjau license — Confirm that Such Team'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 Such Team
When evaluating whether Such Team is safe, consider these category-specific risks:
Understand how Such Team processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Such Team's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Such Team. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Such Team 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 Such Team's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Such Team in violation of its license can expose your organization to legal liability.
Such Team and the EU AI Act
Such Team 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 Such Team Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Such Team while minimizing risk:
Periodically review how Such Team is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Such Team and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Such Team only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Such Team's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Such Team is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Such Team?
Even promising tools aren't right for every situation. Consider avoiding Such Team in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional kepatuhan review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Such Team's trust score of 66.9/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.
How Such Team Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Such Team's score of 66.9/100 is above the category average of 62/100.
This positions Such Team favorably among coding 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 Such Team 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, Such Team'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 Such Team's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=such-team&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 Such Team are strengthening or weakening over time.
Such Team vs Alternatif
In the coding category, Such Team scores 66.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Such Team vs AutoGPT — Trust Score: 74.7/100
- Such Team vs ollama — Trust Score: 73.8/100
- Such Team vs langchain — Trust Score: 71.3/100
Kesimpulan Utama
- Such Team has a Trust Score of 66.9/100 (C) and is not yet Nerq Verified.
- Such Team shows sedang trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Such Team scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Analisis Skor Terperinci
| Dimension | Score |
|---|---|
| Keamanan | 0/100 |
| Pemeliharaan | 1/100 |
| Popularitas | 0/100 |
Berdasarkan 3 dimensi. Data from berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard.
Data apa yang dikumpulkan Such Team?
Privasi assessment for Such Team is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Apakah Such Team aman?
Keamanan score: 0/100. Review keamanan practices and consider alternatives with higher keamanan scores for sensitive use cases.
Nerq memantau entitas ini terhadap NVD, OSV.dev, dan database kerentanan khusus registry untuk penilaian keamanan berkelanjutan.
Analisis lengkap: Laporan Keamanan Such Team
Cara kami menghitung skor ini
Such Team's trust score of 66.9/100 (C) dihitung dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Skor ini mencerminkan 3 dimensi independen: keamanan (0/100), pemeliharaan (1/100), popularitas (0/100). Setiap dimensi diberi bobot yang sama untuk menghasilkan skor kepercayaan komposit.
Nerq menganalisis lebih dari 7,5 juta entitas di 26 registry menggunakan metodologi yang sama, memungkinkan perbandingan langsung antar entitas. Skor diperbarui secara berkelanjutan saat data baru tersedia.
Halaman ini terakhir ditinjau pada April 23, 2026. Versi data: 1.0.
Dokumentasi metodologi lengkap · Data yang dapat dibaca mesin (API JSON)
Pertanyaan yang Sering Diajukan
Apakah Such Team Aman?
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Lihat juga
Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.