क्या Agent Team सुरक्षित है?

Agent Team — Nerq Trust Score 75.4/100 (B ग्रेड). 5 विश्वास आयामों के विश्लेषण के आधार पर, इसे आम तौर पर सुरक्षित लेकिन कुछ चिंताएं हैं माना जाता है। अंतिम अपडेट: 2026-04-24।

हां, Agent Team उपयोग के लिए सुरक्षित है। Agent Team एक software tool है Nerq विश्वास स्कोर के साथ 75.4/100 (B), based on 5 स्वतंत्र डेटा आयाम. उपयोग के लिए अनुशंसित. सुरक्षा: 0/100. रखरखाव: 1/100. लोकप्रियता: 0/100. डेटा स्रोत: पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. अंतिम अपडेट: 2026-04-24. मशीन पठनीय डेटा (JSON).

क्या Agent Team सुरक्षित है?

YES — Agent Team has a Nerq Trust Score of 75.4/100 (B). सुरक्षा, रखरखाव और सामुदायिक स्वीकृति में मजबूत संकेतों के साथ Nerq विश्वास सीमा को पूरा करता है. उपयोग के लिए अनुशंसित — विशिष्ट विचारों के लिए नीचे पूरी रिपोर्ट देखें.

सुरक्षा विश्लेषण → Agent Team गोपनीयता रिपोर्ट →

Agent Team का विश्वास स्कोर क्या है?

Agent Team का Nerq Trust Score 75.4/100 है, ग्रेड B। यह स्कोर सुरक्षा, रखरखाव और सामुदायिक अपनाने सहित 5 स्वतंत्र रूप से मापे गए आयामों पर आधारित है।

सुरक्षा
0
अनुपालन
80
रखरखाव
1
दस्तावेज़ीकरण
1
लोकप्रियता
0

Agent Team के प्रमुख सुरक्षा निष्कर्ष क्या हैं?

Agent Team का सबसे मजबूत संकेत अनुपालन है 80/100 पर। कोई ज्ञात भेद्यता नहीं पाई गई। It meets the Nerq Verified threshold of 70+.

सुरक्षा स्कोर: 0/100 (कमजोर)
रखरखाव: 1/100 — कम रखरखाव गतिविधि
अनुपालन: 80/100 — covers 41 of 52 jurisdictions
दस्तावेज़ीकरण: 1/100 — सीमित प्रलेखन
लोकप्रियता: 0/100 — सामुदायिक अपनाव

Agent Team क्या है और इसका रखरखाव कौन करता है?

डेवलपरmaverick0magic
श्रेणीCoding
स्रोतhttps://github.com/maverick0magic/agent-team
Frameworksanthropic

नियामक अनुपालन

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

coding में लोकप्रिय विकल्प

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
71.3/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
64.1/100 · C+
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 सुरक्षा vulnerabilities, रखरखाव activity, license अनुपालन, and सामुदायिक स्वीकृति.

How Nerq Assesses Agent Team's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five आयाम. 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 सुरक्षा 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 — जांचें repository's सुरक्षा policy, open issues, and recent commits for signs of active रखरखाव.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Agent Team's dependency tree.
  3. समीक्षा 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. जांचें 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 सुरक्षा 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. जांचें tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency सुरक्षा

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

Update frequency

Regularly check for updates to Agent Team. सुरक्षा 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 अनुपालन

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 अनुपालन assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal अनुपालन.

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 अनुपालन with your सुरक्षा policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for सुरक्षा advisories

Subscribe to Agent Team's सुरक्षा 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:

For each scenario, evaluate whether Agent Team's trust score of 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 सुरक्षा practices, consistent release cadence, and broad सामुदायिक स्वीकृति.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks मध्यम 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 रखरखाव 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 सुरक्षा and quality. Conversely, a downward trend may signal reduced रखरखाव, 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 — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, and community — has evolved independently, providing granular visibility into which aspects of Agent Team are strengthening or weakening over time.

Agent Team vs विकल्प

In the coding category, Agent Team scores 75.4/100. It ranks among the top tools in its category. For a detailed comparison, see:

मुख्य निष्कर्ष

विस्तृत स्कोर विश्लेषण

DimensionScore
सुरक्षा0/100
रखरखाव1/100
लोकप्रियता0/100

आधारित 3 आयाम. Data from पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत.

Agent Team कौन सा डेटा एकत्र करता है?

गोपनीयता assessment for Agent Team is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

क्या Agent Team सुरक्षित है?

सुरक्षा score: 0/100. Review सुरक्षा practices and consider alternatives with higher सुरक्षा scores for sensitive use cases.

Nerq इस इकाई को NVD, OSV.dev और रजिस्ट्री-विशिष्ट कमजोरी डेटाबेस के विरुद्ध मॉनिटर करता है निरंतर सुरक्षा मूल्यांकन के लिए.

पूर्ण विश्लेषण: Agent Team सुरक्षा रिपोर्ट

हमने इस स्कोर की गणना कैसे की

Agent Team's trust score of 75.4/100 (B) से गणना की गई है पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. स्कोर प्रतिबिंबित करता है 3 स्वतंत्र आयाम: सुरक्षा (0/100), रखरखाव (1/100), लोकप्रियता (0/100). समग्र विश्वास स्कोर बनाने के लिए प्रत्येक आयाम को समान भार दिया गया है.

Nerq 26 रजिस्ट्री में 7.5 मिलियन से अधिक इकाइयों का विश्लेषण करता है एक ही कार्यप्रणाली का उपयोग करके, इकाइयों के बीच सीधी तुलना संभव बनाता है. नया डेटा उपलब्ध होने पर स्कोर लगातार अपडेट किए जाते हैं.

इस पेज की अंतिम समीक्षा की गई: April 24, 2026. डेटा संस्करण: 1.0.

पूर्ण कार्यप्रणाली दस्तावेज़ · मशीन पठनीय डेटा (JSON API)

अक्सर पूछे जाने वाले प्रश्न

क्या Agent Team सुरक्षित है?
हां, यह उपयोग के लिए सुरक्षित है। agent-team Nerq विश्वास स्कोर के साथ 75.4/100 (B). सबसे मजबूत संकेत: अनुपालन (80/100). स्कोर आधारित सुरक्षा (0/100), रखरखाव (1/100), लोकप्रियता (0/100), दस्तावेज़ीकरण (1/100).
Agent Team का विश्वास स्कोर क्या है?
agent-team: 75.4/100 (B). स्कोर आधारित सुरक्षा (0/100), रखरखाव (1/100), लोकप्रियता (0/100), दस्तावेज़ीकरण (1/100). Compliance: 80/100. नया डेटा उपलब्ध होने पर स्कोर अपडेट होते हैं. API: GET nerq.ai/v1/preflight?target=agent-team
Agent Team के अधिक सुरक्षित विकल्प क्या हैं?
Coding श्रेणी में, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (71/100). agent-team scores 75.4/100.
Agent Team का सुरक्षा स्कोर कितनी बार अपडेट होता है?
Nerq continuously monitors Agent Team and updates its trust score as new data becomes available. Current: 75.4/100 (B), last सत्यापित 2026-04-24. API: GET nerq.ai/v1/preflight?target=agent-team
क्या मैं विनियमित वातावरण में Agent Team उपयोग कर सकता हूँ?
Agent Team Nerq सत्यापन सीमा (70+) पूरी करता है। उत्पादन उपयोग के लिए सुरक्षित।
API: /v1/preflight Trust Badge API Docs

यह भी देखें

Disclaimer: Nerq विश्वास स्कोर सार्वजनिक रूप से उपलब्ध संकेतों पर आधारित स्वचालित मूल्यांकन हैं। ये सिफारिश या गारंटी नहीं हैं। हमेशा अपना स्वयं का सत्यापन करें।

हम विश्लेषण और कैशिंग के लिए कुकीज़ का उपयोग करते हैं। गोपनीयता