Stack Chan은(는) 안전한가요?

Stack Chan을(를) 주의하며 사용하세요. Stack Chan is a software tool Nerq 신뢰 점수 67.2/100 (C), based on 5 independent data dimensions. 권장 기준인 70 미만입니다. Security: 0/100. Maintenance: 0/100. Popularity: 1/100. 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).

Stack Chan은(는) 안전한가요?

주의 — Stack Chan 의 Nerq 신뢰 점수는 67.2/100 (C). 보통 수준의 신뢰 신호가 있지만 주의가 필요한 일부 우려 사항이 있습니다. 개발 사용에 적합 — 프로덕션 배포 전 보안 및 유지보수 신호를 검토하세요.

신뢰 점수 세부 정보

보안
0
규정 준수
87
유지보수
0
문서화
0
인기도
1

주요 발견

보안 점수: 0/100 (weak)
Maintenance: 0/100 — low maintenance activity
Compliance: 87/100 — covers 45 of 52 jurisdictions
Documentation: 0/100 — limited documentation
Popularity: 1/100 — 1,220 stars on mcp

세부 정보

개발자stack-chan
카테고리infrastructure
스타1,220
출처https://github.com/stack-chan/stack-chan
Protocolsmcp

규정 준수

EU AI Act Risk ClassMINIMAL
Compliance Score87/100
JurisdictionsAssessed across 52 jurisdictions

infrastructure의 인기 대안

n8n-io/n8n
78.5/100 · B
github
langflow-ai/langflow
87.6/100 · A
github
langgenius/dify
79.1/100 · B
github
open-webui/open-webui
74.8/100 · B
github
google-gemini/gemini-cli
71.8/100 · B
github

What Is Stack Chan?

Stack Chan is a software tool in the infrastructure category: A JavaScript-driven M5Stack-embedded super-kawaii robot.. It has 1,220 GitHub stars. Nerq 신뢰 점수: 67/100 (C).

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 Stack Chan's Safety

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

The overall 신뢰 점수 of 67.2/100 (C) 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 Stack Chan?

Stack Chan is designed for:

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

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

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

Data handling

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

Update frequency

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

Third-party integrations

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

Stack Chan and the EU AI Act

Stack Chan 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 Stack Chan Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Stack Chan?

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

For each scenario, evaluate whether Stack Chan의 신뢰 점수 67.2/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Stack Chan Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average 신뢰 점수 is 62/100. Stack Chan's score of 67.2/100 is above the category average of 62/100.

This positions Stack Chan favorably among infrastructure tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.

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 Stack Chan 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, Stack Chan'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 Stack Chan's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=stack-chan&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 Stack Chan are strengthening or weakening over time.

Stack Chan vs Alternatives

infrastructure 카테고리에서, Stack Chan의 점수는 67.2/100입니다. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Stack Chan은(는) 사용하기에 안전한가요?
주의하며 사용하세요. stack-chan 의 Nerq 신뢰 점수는 67.2/100 (C). 가장 강력한 신호: 규정 준수 (87/100). 점수 기반: security (0/100), maintenance (0/100), popularity (1/100), documentation (0/100).
Stack Chan's trust score이(가) 무엇인가요?
stack-chan: 67.2/100 (C). 점수 기반:: security (0/100), maintenance (0/100), popularity (1/100), documentation (0/100). Compliance: 87/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=stack-chan
Stack Chan의 더 안전한 대안은 무엇인가요?
infrastructure 카테고리에서, 더 높은 평가를 받은 대안으로는 n8n-io/n8n (78/100), langflow-ai/langflow (88/100), langgenius/dify (79/100). stack-chan의 점수는 67.2/100입니다.
How often is Stack Chan's safety score updated?
Nerq continuously monitors Stack Chan 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: 67.2/100 (C), last verified 2026-03-29. API: GET nerq.ai/v1/preflight?target=stack-chan
Stack Chan을(를) 규제 환경에서 사용할 수 있나요?
Stack Chan 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.