Czy Agent Supervisor jest bezpieczny?
Agent Supervisor — Nerq Wynik zaufania 65.8/100 (Ocena C). Na podstawie analizy 5 wymiarów zaufania, jest ogólnie bezpieczny, ale z pewnymi zastrzeżeniami. Ostatnia aktualizacja: 2026-04-01.
Używaj Agent Supervisor z ostrożnością. Agent Supervisor is a software tool with a Nerq Wynik zaufania of 65.8/100 (C), based on 5 independent data dimensions. Jest poniżej zalecanego progu wynoszącego 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Dane odczytywalne maszynowo (JSON).
Czy Agent Supervisor jest bezpieczny?
OSTROŻNOŚĆ — Agent Supervisor has a Nerq Wynik zaufania of 65.8/100 (C). Ma umiarkowane sygnały zaufania, ale wykazuje pewne obszary budzące uwagę. Nadaje się do użytku deweloperskiego — sprawdź sygnały bezpieczeństwa i konserwacji przed wdrożeniem produkcyjnym.
Jaki jest wynik zaufania Agent Supervisor?
Agent Supervisor has a Nerq Wynik zaufania of 65.8/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
Jakie są kluczowe ustalenia bezpieczeństwa dla Agent Supervisor?
Agent Supervisor's strongest signal is zgodność at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Czym jest Agent Supervisor i kto go utrzymuje?
| Autor | sunzhuoshi |
| Kategoria | coding |
| Źródło | https://github.com/sunzhuoshi/agent-supervisor |
| Protocols | rest |
Zgodność z przepisami
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popularne alternatywy w coding
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 Wynik zaufania: 66/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Agent Supervisor's Safety
Nerq's Wynik zaufania is calculated from 13+ independent signals aggregated into five dimensions. Here is how Agent Supervisor performs in each:
- Bezpieczeństwo (0/100): Agent Supervisor's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Konserwacja (1/100): Agent Supervisor 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 documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Agent Supervisor is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Wynik zaufania 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:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Agent Supervisor is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security 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:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Agent Supervisor's dependency tree. - Opinia permissions — Understand what access Agent Supervisor requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agent Supervisor 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-supervisor - Sprawdź 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.
- 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 security 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:
Understand how Agent Supervisor processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agent Supervisor's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Agent Supervisor. Security patches and bug fixes are only effective if you're running the latest version.
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.
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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
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:
Periodically review how Agent Supervisor is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Agent Supervisor and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Agent Supervisor only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agent Supervisor's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
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:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Agent Supervisor 65.8/100 meets your organization's risk tolerance. We recommend running a manual security 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 Wynik zaufania 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 dimensions.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate 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.
Wynik zaufania History
Nerq continuously monitors Agent Supervisor and recalculates its Wynik zaufania 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 maintenance 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 security and quality. Conversely, a downward trend may signal reduced maintenance, 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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Agent Supervisor are strengthening or weakening over time.
Agent Supervisor vs Alternatives
W kategorii coding, Agent Supervisor uzyskuje 65.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agent Supervisor vs AutoGPT — Wynik zaufania: 74.7/100
- Agent Supervisor vs ollama — Wynik zaufania: 73.8/100
- Agent Supervisor vs langchain — Wynik zaufania: 86.4/100
Kluczowe wnioski
- Agent Supervisor has a Wynik zaufania of 65.8/100 (C) and is not yet Nerq Verified.
- Agent Supervisor shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Agent Supervisor 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.
Często zadawane pytania
Czy Agent Supervisor jest bezpieczny w użyciu?
Czym jest Agent Supervisor's trust score?
Jakie są bezpieczniejsze alternatywy dla Agent Supervisor?
How often is Agent Supervisor's safety score updated?
Czy mogę używać Agent Supervisor w środowisku regulowanym?
Disclaimer: Wyniki zaufania Nerq to zautomatyzowane oceny oparte na publicznie dostępnych sygnałach. Nie stanowią rekomendacji ani gwarancji. Zawsze przeprowadzaj własną weryfikację.