Je Agent Team bezpečný?

Agent Team — Nerq Trust Score 75.4/100 (Stupeň B). Na základě analýzy 5 dimenzí důvěryhodnosti je obecně bezpečný, ale s některými obavami. Naposledy aktualizováno: 2026-04-01.

Ano, Agent Team je bezpečný k použití. Agent Team is a software tool se skóre důvěryhodnosti Nerq 75.4/100 (B), based on 5 independent data dimensions. It is recommended for use. 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. Strojově čitelná data (JSON).

Je Agent Team bezpečný?

ANO — Agent Team má skóre důvěryhodnosti Nerq 75.4/100 (B). Splňuje práh důvěryhodnosti Nerq se silnými signály v oblasti bezpečnosti, údržby a přijetí komunitou. Recommended for use — přečtěte si úplnou zprávu níže pro konkrétní úvahy.

Bezpečnostní analýza → Zpráva o soukromí {name} →

Jaké je skóre důvěryhodnosti Agent Team?

Agent Team má Nerq skóre důvěryhodnosti 75.4/100 se stupněm B. Toto skóre je založeno na 5 nezávisle měřených dimenzích.

Bezpečnost
0
Shoda
80
Údržba
1
Dokumentace
1
Popularita
0

Jaká jsou klíčová bezpečnostní zjištění pro Agent Team?

Nejsilnější signál Agent Team je shoda na 80/100. Nebyly zjištěny žádné známé zranitelnosti. Splňuje ověřený práh Nerq 70+.

Bezpečnostní skóre: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 80/100 — covers 41 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — community adoption

Co je Agent Team a kdo jej spravuje?

Autormaverick0magic
Kategoriecoding
Zdrojhttps://github.com/maverick0magic/agent-team
Frameworksanthropic

Regulační shoda

EU AI Act Risk ClassMINIMAL
Compliance Score80/100
JurisdictionsAssessed across 52 jurisdictions

Populární alternativy v 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 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 security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Agent Team's Safety

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

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:

Risk guidance: Agent Team meets the minimum threshold for production use, but we recommend monitoring for security 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:

  1. Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Agent Team's dependency tree.
  3. Recenze permissions — Understand what access Agent Team requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agent Team 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-team
  6. Zkontrolujte 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.
  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 security 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:

Data handling

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

Dependency security

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

Update frequency

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

Third-party integrations

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.

License and IP compliance

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 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 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:

Conduct regular audits

Periodically review how Agent Team is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Agent Team's security 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 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:

skóre důvěryhodnosti

For each scenario, evaluate whether Agent Team 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 security practices, consistent release cadence, and broad community adoption.

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.

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 maintenance 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 security and quality. Conversely, a downward trend may signal reduced maintenance, 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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Agent Team are strengthening or weakening over time.

Agent Team vs Alternatives

V kategorii coding, Agent Team získal skóre 75.4/100. It ranks among the top tools in its category. For a detailed comparison, see:

Hlavní závěry

Často kladené otázky

Je Agent Team bezpečný k použití?
Ano, je bezpečný k použití. agent-team má skóre důvěryhodnosti Nerq 75.4/100 (B). Nejsilnější signál: shoda (80/100). Skóre založeno na security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100).
Jaké je skóre důvěryhodnosti Agent Team?
agent-team: 75.4/100 (B). Skóre založeno na: security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100). Compliance: 80/100. Skóre se aktualizují, jakmile jsou k dispozici nová data. API: GET nerq.ai/v1/preflight?target=agent-team
Jaké jsou bezpečnější alternativy k Agent Team?
V kategorii coding, lépe hodnocené alternativy zahrnují Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). agent-team získal skóre 75.4/100.
How often is Agent Team's safety score updated?
Nerq continuously monitors Agent Team and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 75.4/100 (B), last verified 2026-04-01. API: GET nerq.ai/v1/preflight?target=agent-team
Mohu použít Agent Team v regulovaném prostředí?
Yes — Agent Team meets the Nerq Verified threshold (70+). Combine this with your internal security review for regulated deployments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.

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