Lilbots 01은(는) 안전한가요?

Lilbots 01 — Nerq Trust Score 64.3/100 (C 등급). 5 independent trust signals 기반 점수.

Lilbots 01 은(는) software tool입니다 Nerq 신뢰 점수 64.3/100 (C), 5개의 독립적으로 측정된 데이터 차원 기반. 보안: 0/100. 유지보수: 1/100. 인기도: 0/100. 패키지 레지스트리, GitHub, NVD, OSV.dev, OpenSSF Scorecard를 포함한 여러 공개 소스에서 수집된 데이터. 마지막 업데이트: n/a. 기계 판독 가능 데이터 (JSON).

Lilbots 01은(는) 안전한가요?

신뢰 점수 세부 정보 — Lilbots 01 has a Nerq Trust Score of 64.3/100 (C). Measured across 5 independent trust signals.

보안 분석 → Lilbots 01 개인정보 보고서 →

Lilbots 01의 신뢰 점수는?

Lilbots 01의 Nerq 신뢰 점수는 64.3/100이며 C 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 5개의 독립적으로 측정된 차원을 기반으로 합니다.

보안
0
규정 준수
100
유지보수
1
문서화
1
인기도
0

Lilbots 01의 주요 보안 발견 사항은?

Lilbots 01의 가장 강한 신호는 규정 준수이며 100/100입니다. 알려진 취약점이 감지되지 않았습니다.

⚠보안 점수: 0/100 (약함)
⚠유지보수: 1/100 — 낮은 유지관리 활동
⚠규정 준수: 100/100 — covers 52 of 52 관할권s
⚠문서화: 1/100 — 제한적 문서화
⚠인기도: 0/100 — 1 스타 수: github

Lilbots 01은(는) 무엇이며 누가 관리하나요?

개발자phiat
카테고리Coding
스타1
출처https://github.com/phiat/lilbots-01
Frameworksopenai · anthropic
Protocolsrest · websocket

규정 준수

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 관할권s

coding의 인기 대안

Significant-Gravitas/AutoGPT
65.3/100 · C
github
ollama/ollama
64.4/100 · C
github
langchain-ai/langchain
77.0/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
64.4/100 · C
github
anomalyco/opencode
78.5/100 · B
github

What Is Lilbots 01?

Lilbots 01 is a software tool in the coding category: Real-time multi-agent AI playground for games, debates, brainstorms, and creative writing.. It has 1 GitHub stars. Nerq Trust Score: 64/100 (C).

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 Lilbots 01's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 차원. Here is how Lilbots 01 performs in each:

The overall Trust Score of 64.3/100 (C) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Lilbots 01?

Lilbots 01 is commonly evaluated by:

How to read the signals: Lilbots 01's measured signals (보안 0/100, 유지보수 1/100, 문서화 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Lilbots 01'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's 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 Lilbots 01's dependency tree.
  3. 리뷰 permissions — Understand what access Lilbots 01 requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Lilbots 01 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=lilbots-01
  6. 다음을 검토하세요: license — Confirm that Lilbots 01'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 Lilbots 01

When evaluating whether Lilbots 01 is safe, consider these category-specific risks:

Data handling

Understand how Lilbots 01 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 Lilbots 01's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 보안 risk.

Update frequency

Regularly check for updates to Lilbots 01. 보안 patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Lilbots 01 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 Lilbots 01's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Lilbots 01 in violation of its license can expose your organization to legal liability.

Lilbots 01 and the EU AI Act

Lilbots 01 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 규정 준수 assessment covers 52 관할권s worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal 규정 준수.

Best Practices for Using Lilbots 01 Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Lilbots 01 while minimizing risk:

Conduct regular audits

Periodically review how Lilbots 01 is used in your workflow. Check for unexpected behavior, permissions drift, and 규정 준수 with your 보안 policies.

Keep dependencies updated

Ensure Lilbots 01 and all its dependencies are running the latest stable versions to benefit from 보안 patches.

Follow least privilege

Grant Lilbots 01 only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for 보안 advisories

Subscribe to Lilbots 01'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 Lilbots 01 is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant 독립적 Review of Lilbots 01

Nerq's signals are one input. In the following situations, evaluate Lilbots 01's measured signals against your own requirements before making a decision:

For each situation, compare Lilbots 01's measured trust score of 64.3/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Lilbots 01 is suitable for any particular use.

How Lilbots 01 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. Lilbots 01's score of 64.3/100 is above the category average of 62/100.

This positions Lilbots 01 favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust 차원.

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 Lilbots 01 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, Lilbots 01'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 Lilbots 01's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=lilbots-01&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 Lilbots 01 are strengthening or weakening over time.

Lilbots 01 vs 대안

In the coding category, Lilbots 01 scores 64.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Lilbots 01은(는) 안전한가요?
lilbots-01 Nerq 신뢰 점수 64.3/100 (C). 가장 강력한 신호: 규정 준수 (100/100). 보안 (0/100), 유지보수 (1/100), 인기도 (0/100), 문서화 (1/100) 기반 점수.
Lilbots 01의 신뢰 점수는?
lilbots-01: 64.3/100 (C). 보안 (0/100), 유지보수 (1/100), 인기도 (0/100), 문서화 (1/100) 기반 점수. Compliance: 100/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=lilbots-01
Lilbots 01의 더 안전한 대안은?
Coding 카테고리에서, higher-rated alternatives include Significant-Gravitas/AutoGPT (65/100), ollama/ollama (64/100), langchain-ai/langchain (77/100). lilbots-01 scores 64.3/100.
Lilbots 01의 보안 점수는 얼마나 자주 업데이트되나요?
Nerq recomputes Lilbots 01's trust score as new data becomes available. Current: 64.3/100 (C). API: GET nerq.ai/v1/preflight?target=lilbots-01
규제 환경에서 Lilbots 01을 사용할 수 있나요?
Lilbots 01: 64.3/100 (C). Compliance: 52 of 52 관할권s. EU AI Act compliant. Evaluate against your own regulatory requirements.
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.

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