Apakah Agent Supervisor Aman?

Agent Supervisor — Nerq Trust Score 65.8/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-09.

Gunakan Agent Supervisor dengan hati-hati. Agent Supervisor adalah software tool dengan Skor Kepercayaan Nerq sebesar 65.8/100 (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: 2026-04-09. Data yang dapat dibaca mesin (JSON).

Apakah Agent Supervisor Aman?

CAUTION — Agent Supervisor has a Nerq Trust Score of 65.8/100 (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.

Analisis Keamanan → Laporan Privasi Agent Supervisor →

Berapa skor kepercayaan Agent Supervisor?

Agent Supervisor memiliki Skor Kepercayaan Nerq 65.8/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
100
Pemeliharaan
1
Dokumentasi
1
Popularitas
0

Apa temuan keamanan utama untuk Agent Supervisor?

Sinyal terkuat Agent Supervisor adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.

Skor keamanan: 0/100 (lemah)
Pemeliharaan: 1/100 — aktivitas pemeliharaan rendah
Kepatuhan: 100/100 — covers 52 of 52 jurisdictions
Dokumentasi: 1/100 — dokumentasi terbatas
Popularitas: 0/100 — adopsi komunitas

Apa itu Agent Supervisor dan siapa yang mengelolanya?

Pembuatsunzhuoshi
KategoriCoding
Sumberhttps://github.com/sunzhuoshi/agent-supervisor
Protocolsrest

Kepatuhan Regulasi

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

Alternatif Populer di coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
86.4/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
87.9/100 · A
github

What Is Agent Supervisor?

Agent Supervisor is a software tool in the coding category: A Windows system tray application that helps improve GitHub Copilot workflows.. Nerq Trust Score: 66/100 (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 Agent Supervisor's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Agent Supervisor performs in each:

The overall Trust Score of 65.8/100 (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 Agent Supervisor?

Agent Supervisor is designed for:

Risk guidance: Agent Supervisor 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 Agent Supervisor's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Tinjau repository's keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Agent Supervisor's dependency tree.
  3. Ulasan permissions — Understand what access Agent Supervisor requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agent Supervisor 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=agent-supervisor
  6. Tinjau license — Confirm that Agent Supervisor'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.
  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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Agent Supervisor

When evaluating whether Agent Supervisor is safe, consider these category-specific risks:

Data handling

Understand how Agent Supervisor processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency keamanan

Check Agent Supervisor's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.

Update frequency

Regularly check for updates to Agent Supervisor. Keamanan patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Agent Supervisor 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.

License and IP kepatuhan

Verify that Agent Supervisor'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 Supervisor in violation of its license can expose your organization to legal liability.

Agent Supervisor and the EU AI Act

Agent Supervisor 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 Supervisor Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agent Supervisor while minimizing risk:

Conduct regular audits

Periodically review how Agent Supervisor is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.

Keep dependencies updated

Ensure Agent Supervisor and all its dependencies are running the latest stable versions to benefit from keamanan patches.

Follow least privilege

Grant Agent Supervisor only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for keamanan advisories

Subscribe to Agent Supervisor's keamanan 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 Agent Supervisor is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Agent Supervisor?

Even promising tools aren't right for every situation. Consider avoiding Agent Supervisor in these scenarios:

For each scenario, evaluate whether Agent Supervisor's trust score of 65.8/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.

How Agent Supervisor 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 Supervisor's score of 65.8/100 is above the category average of 62/100.

This positions Agent Supervisor 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 Agent Supervisor 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 Supervisor'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 Supervisor's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agent-supervisor&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 Supervisor are strengthening or weakening over time.

Agent Supervisor vs Alternatif

In the coding category, Agent Supervisor scores 65.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Agent Supervisor Aman?
Gunakan dengan hati-hati. agent-supervisor dengan Skor Kepercayaan Nerq sebesar 65.8/100 (C). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Agent Supervisor?
agent-supervisor: 65.8/100 (C). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=agent-supervisor
Apa alternatif yang lebih aman dari Agent Supervisor?
Dalam kategori Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). agent-supervisor scores 65.8/100.
Seberapa sering skor keamanan Agent Supervisor diperbarui?
Nerq continuously monitors Agent Supervisor and updates its trust score as new data becomes available. Current: 65.8/100 (C), last terverifikasi 2026-04-09. API: GET nerq.ai/v1/preflight?target=agent-supervisor
Bisakah saya menggunakan Agent Supervisor di lingkungan yang diatur?
Agent Supervisor belum mencapai ambang verifikasi Nerq 70. Tinjauan tambahan disarankan.
API: /v1/preflight Trust Badge API Docs

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.

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