Knowledge Assistant은(는) 안전한가요?

Knowledge Assistant — Nerq Trust Score 51.8/100 (D 등급). 4개의 신뢰 차원 분석 결과, 주목할 만한 보안 우려가 있음으로 평가됩니다. 마지막 업데이트: 2026-04-07.

Knowledge Assistant을(를) 주의하며 사용하세요. Knowledge Assistant 은(는) software tool입니다 Nerq 신뢰 점수 51.8/100 (D), 4개의 독립적으로 측정된 데이터 차원 기반. Nerq 인증 기준 미달 유지보수: 0/100. 인기도: 0/100. 패키지 레지스트리, GitHub, NVD, OSV.dev, OpenSSF Scorecard를 포함한 여러 공개 소스에서 수집된 데이터. 마지막 업데이트: 2026-04-07. 기계 판독 가능 데이터 (JSON).

Knowledge Assistant은(는) 안전한가요?

CAUTION — Knowledge Assistant has a Nerq Trust Score of 51.8/100 (D). 보통 수준의 신뢰 신호가 있지만 일부 우려 사항이 있습니다 that warrant attention. Suitable for development use — review 보안 and 유지보수 signals before production deployment.

보안 분석 → Knowledge Assistant 개인정보 보고서 →

Knowledge Assistant의 신뢰 점수는?

Knowledge Assistant의 Nerq 신뢰 점수는 51.8/100이며 D 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 4개의 독립적으로 측정된 차원을 기반으로 합니다.

규정 준수
87
유지보수
0
문서화
0
인기도
0

Knowledge Assistant의 주요 보안 발견 사항은?

Knowledge Assistant의 가장 강한 신호는 규정 준수이며 87/100입니다. 알려진 취약점이 감지되지 않았습니다. 아직 Nerq 인증 임계값 70+에 도달하지 못했습니다.

유지보수: 0/100 — 낮은 유지관리 활동
규정 준수: 87/100 — covers 45 of 52 관할권s
문서화: 0/100 — 제한적 문서화
인기도: 0/100 — 2 스타 수: huggingface space full

Knowledge Assistant은(는) 무엇이며 누가 관리하나요?

개발자rahuln2002
카테고리Ai Assistant
스타2
출처https://huggingface.co/spaces/rahuln2002/knowledge-assistant
Protocolshuggingface_hub

규정 준수

EU AI Act Risk ClassNot assessed
Compliance Score87/100
JurisdictionsAssessed across 52 관할권s

AI assistant의 인기 대안

Captain Dackie
49.7/100 · D
erc8004
Neta-Lumina
60.3/100 · C
huggingface_search_ext
gemma-3-12b-it-heretic
58.8/100 · D
huggingface_new
kanana-2-30b-a3b-thinking-2601
59.2/100 · D
huggingface_w2
Dria-Agent-a-7B
57.0/100 · D
huggingface_author2

What Is Knowledge Assistant?

Knowledge Assistant is a software tool in the AI assistant category: N/A. It has 2 GitHub stars. Nerq Trust Score: 52/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 보안 vulnerabilities, 유지보수 activity, license 규정 준수, and 커뮤니티 채택.

How Nerq Assesses Knowledge Assistant's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 차원. Here is how Knowledge Assistant performs in each:

The overall Trust Score of 51.8/100 (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 Knowledge Assistant?

Knowledge Assistant is designed for:

Risk guidance: Knowledge Assistant is suitable for development and testing environments. Before production deployment, conduct a thorough review of its 보안 posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Knowledge Assistant's Safety Yourself

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

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

Common Safety Concerns with Knowledge Assistant

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

Data handling

Understand how Knowledge Assistant processes, stores, and transmits your data. 다음을 검토하세요: tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency 보안

Check Knowledge Assistant's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 보안 risk.

Update frequency

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

Third-party integrations

If Knowledge Assistant 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 규정 준수

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

Best Practices for Using Knowledge Assistant Safely

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

Conduct regular audits

Periodically review how Knowledge Assistant is used in your workflow. Check for unexpected behavior, permissions drift, and 규정 준수 with your 보안 policies.

Keep dependencies updated

Ensure Knowledge Assistant and all its dependencies are running the latest stable versions to benefit from 보안 patches.

Follow least privilege

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

Monitor for 보안 advisories

Subscribe to Knowledge Assistant's 보안 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 Knowledge Assistant is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Knowledge Assistant?

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

For each scenario, evaluate whether Knowledge Assistant's trust score of 51.8/100 meets your organization's risk tolerance. We recommend running a manual 보안 assessment alongside the automated Nerq score.

How Knowledge Assistant Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among AI assistant tools, the average Trust Score is 62/100. Knowledge Assistant's score of 51.8/100 is below the category average of 62/100.

This suggests that Knowledge Assistant trails behind many comparable AI assistant tools. Organizations with strict 보안 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 보통 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 Knowledge Assistant 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 유지보수 patterns change, Knowledge Assistant'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 보안 and quality. Conversely, a downward trend may signal reduced 유지보수, growing technical debt, or unresolved vulnerabilities. To track Knowledge Assistant's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=knowledge-assistant&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 — 보안, 유지보수, 문서화, 규정 준수, and community — has evolved independently, providing granular visibility into which aspects of Knowledge Assistant are strengthening or weakening over time.

Knowledge Assistant vs 대안

In the AI assistant category, Knowledge Assistant scores 51.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Knowledge Assistant은(는) 안전한가요?
주의하며 사용하세요. knowledge-assistant Nerq 신뢰 점수 51.8/100 (D). 가장 강력한 신호: 규정 준수 (87/100). 유지보수 (0/100), 인기도 (0/100), 문서화 (0/100) 기반 점수.
Knowledge Assistant의 신뢰 점수는?
knowledge-assistant: 51.8/100 (D). 유지보수 (0/100), 인기도 (0/100), 문서화 (0/100) 기반 점수. Compliance: 87/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=knowledge-assistant
Knowledge Assistant의 더 안전한 대안은?
Ai Assistant 카테고리에서, higher-rated alternatives include Captain Dackie (50/100), Neta-Lumina (60/100), gemma-3-12b-it-heretic (59/100). knowledge-assistant scores 51.8/100.
Knowledge Assistant의 보안 점수는 얼마나 자주 업데이트되나요?
Nerq continuously monitors Knowledge Assistant and updates its trust score as new data becomes available. Current: 51.8/100 (D), last 인증됨 2026-04-07. API: GET nerq.ai/v1/preflight?target=knowledge-assistant
규제 환경에서 Knowledge Assistant을 사용할 수 있나요?
Knowledge Assistant은 Nerq 인증 임계값 70에 도달하지 못했습니다. 추가 검토가 권장됩니다.
API: /v1/preflight Trust Badge API Docs

참고 항목

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

분석 및 캐싱을 위해 쿠키를 사용합니다. 개인정보