Apakah Agent Team Aman?
Agent Team — Nerq Trust Score 75.4/100 (Nilai B). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-05.
Ya, Agent Team aman digunakan. Agent Team adalah software tool dengan Skor Kepercayaan Nerq sebesar 75.4/100 (B), based on 5 dimensi data independen. It is recommended for use. Keamanan: 0/100. Pemeliharaan: 1/100. Popularitas: 0/100. Data bersumber dari multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Terakhir diperbarui: 2026-04-05. Data yang dapat dibaca mesin (JSON).
Apakah Agent Team Aman?
YA — Agent Team memiliki Skor Kepercayaan Nerq sebesar 75.4/100 (B). Memenuhi ambang batas kepercayaan Nerq dengan sinyal kuat di keamanan, pemeliharaan, dan adopsi komunitas. Recommended for use — tinjau laporan lengkap di bawah untuk pertimbangan spesifik.
Berapa skor kepercayaan Agent Team?
Agent Team memiliki Skor Kepercayaan Nerq 75.4/100 dengan nilai B. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Agent Team?
Sinyal terkuat Agent Team adalah kepatuhan pada 80/100. Tidak ada kerentanan yang diketahui terdeteksi. Memenuhi ambang verifikasi Nerq 70+.
Apa itu Agent Team dan siapa yang mengelolanya?
| Pembuat | maverick0magic |
| Kategori | coding |
| Sumber | https://github.com/maverick0magic/agent-team |
| Frameworks | anthropic |
Kepatuhan Regulasi
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 80/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatif Populer di coding
What Is Agent Team?
Agent Team is a software tool in the coding category: A Claude Code plugin providing a 7-agent team for software development through structured sprints and code reviews.. Nerq Trust Score: 75/100 (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 Agent Team's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Agent Team performs in each:
- Keamanan (0/100): Agent Team's keamanan posture is poor. This score factors in known CVEs, dependency vulnerabilities, keamanan policy presence, and code signing practices.
- Pemeliharaan (1/100): Agent 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 (80/100): Agent 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 75.4/100 (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 Agent Team?
Agent 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: Agent Team 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 Agent 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 Agent Team's dependency tree. - Ulasan permissions — Understand what access Agent Team requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agent 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=agent-team - Tinjau license — Confirm that Agent 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 Agent Team
When evaluating whether Agent Team is safe, consider these category-specific risks:
Understand how Agent Team processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agent Team's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Agent Team. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Agent 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 Agent 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 Agent Team in violation of its license can expose your organization to legal liability.
Agent Team and the EU AI Act
Agent 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 Agent Team Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agent Team while minimizing risk:
Periodically review how Agent Team is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Agent Team and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Agent Team only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agent 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 Agent Team is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agent Team?
Even well-trusted tools aren't right for every situation. Consider avoiding Agent Team in these scenarios:
- Scenarios where Agent Team's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive keamanan updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Agent Team sebesar 75.4/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Agent 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. Agent Team's score of 75.4/100 is significantly above the category average of 62/100.
This places Agent Team in the top tier of coding tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature keamanan practices, consistent release cadence, and broad adopsi komunitas.
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 Agent 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, Agent 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 Agent Team's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agent-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 Agent Team are strengthening or weakening over time.
Agent Team vs Alternatif
Dalam kategori coding, Agent Team mendapat skor 75.4/100. It ranks among the top tools in its category. For a detailed comparison, see:
- Agent Team vs AutoGPT — Trust Score: 74.7/100
- Agent Team vs ollama — Trust Score: 73.8/100
- Agent Team vs langchain — Trust Score: 86.4/100
Kesimpulan Utama
- Agent Team memiliki Skor Kepercayaan sebesar 75.4/100 (B) and is Nerq Verified.
- Agent Team meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among coding tools, Agent Team scores significantly 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.
Pertanyaan yang Sering Diajukan
Apakah Agent Team aman digunakan?
Berapa skor kepercayaan Agent Team?
Apa alternatif yang lebih aman dari Agent Team?
How often is Agent Team's safety score updated?
Bisakah saya menggunakan Agent Team di lingkungan teregulasi?
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