Learningassistant은(는) 안전한가요?

Learningassistant에 대해 주의하세요. Learningassistant is a software tool Nerq 신뢰 점수 49.7/100 (D), based on 4 independent data dimensions. 권장 기준인 70 미만입니다. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-29. 기계 판독 가능 데이터 (JSON).

Learningassistant은(는) 안전한가요?

아니오 — 주의하며 사용 — Learningassistant 의 Nerq 신뢰 점수는 49.7/100 (D). 보안, 유지보수 또는 문서화에서 심각한 격차와 함께 평균 이하의 신뢰 신호가 있습니다. 철저한 수동 검토 및 추가 보안 조치 없이는 프로덕션 사용이 권장되지 않습니다.

신뢰 점수 세부 정보

규정 준수
79
유지보수
0
문서화
0
인기도
0

주요 발견

Maintenance: 0/100 — low maintenance activity
Compliance: 79/100 — covers 41 of 52 jurisdictions
Documentation: 0/100 — limited documentation
Popularity: 0/100 — community adoption

세부 정보

개발자jarolsb
카테고리education
출처https://huggingface.co/spaces/jarolsb/LearningAssistant
Protocolshuggingface_hub

규정 준수

EU AI Act Risk ClassNot assessed
Compliance Score79/100
JurisdictionsAssessed across 52 jurisdictions

education의 인기 대안

JushBJJ/Mr.-Ranedeer-AI-Tutor
73.8/100 · B
github
datawhalechina/hello-agents
79.5/100 · B
github
camel-ai/owl
71.3/100 · B
github
microsoft/mcp-for-beginners
77.2/100 · B
github
virgili0/Virgilio
73.8/100 · B
github

What Is Learningassistant?

Learningassistant is a software tool in the education category: Aims to assist with learning tasks and provide educational support.. Nerq 신뢰 점수: 50/100 (D).

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 Learningassistant's Safety

Nerq's 신뢰 점수 is calculated from 13+ independent signals aggregated into five dimensions. Here is how Learningassistant performs in each:

The overall 신뢰 점수 of 49.7/100 (D) 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 Learningassistant?

Learningassistant is designed for:

Risk guidance: We recommend caution with Learningassistant. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Learningassistant'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 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 Learningassistant's dependency tree.
  3. 리뷰 permissions — Understand what access Learningassistant requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Learningassistant 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=LearningAssistant
  6. 다음을 검토하세요: license — Confirm that Learningassistant'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 Learningassistant

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

Data handling

Understand how Learningassistant 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 Learningassistant's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

If Learningassistant 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 Learningassistant's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Learningassistant in violation of its license can expose your organization to legal liability.

Best Practices for Using Learningassistant Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Learningassistant'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 Learningassistant is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Learningassistant?

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

For each scenario, evaluate whether Learningassistant의 신뢰 점수 49.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Learningassistant Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among education tools, the average 신뢰 점수 is 62/100. Learningassistant's score of 49.7/100 is below the category average of 62/100.

This suggests that Learningassistant trails behind many comparable education tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.

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.

신뢰 점수 History

Nerq continuously monitors Learningassistant and recalculates its 신뢰 점수 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, Learningassistant'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 Learningassistant's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=LearningAssistant&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 Learningassistant are strengthening or weakening over time.

Learningassistant vs Alternatives

education 카테고리에서, Learningassistant의 점수는 49.7/100입니다. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Learningassistant은(는) 사용하기에 안전한가요?
주의하세요. LearningAssistant 의 Nerq 신뢰 점수는 49.7/100 (D). 가장 강력한 신호: 규정 준수 (79/100). 점수 기반: maintenance (0/100), popularity (0/100), documentation (0/100).
Learningassistant's trust score이(가) 무엇인가요?
LearningAssistant: 49.7/100 (D). 점수 기반:: maintenance (0/100), popularity (0/100), documentation (0/100). Compliance: 79/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=LearningAssistant
Learningassistant의 더 안전한 대안은 무엇인가요?
education 카테고리에서, 더 높은 평가를 받은 대안으로는 JushBJJ/Mr.-Ranedeer-AI-Tutor (74/100), datawhalechina/hello-agents (80/100), camel-ai/owl (71/100). LearningAssistant의 점수는 49.7/100입니다.
How often is Learningassistant's safety score updated?
Nerq continuously monitors Learningassistant 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: 49.7/100 (D), last verified 2026-03-29. API: GET nerq.ai/v1/preflight?target=LearningAssistant
Learningassistant을(를) 규제 환경에서 사용할 수 있나요?
Learningassistant has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.