Screen Visionは安全ですか?
Screen Vision — Nerq Trust Score 38.9/100 (Eグレード). 5つの信頼次元の分析に基づき、重大なセキュリティリスクがあると評価されています。 最終更新:2026-04-03。
Screen Visionには注意が必要です。 Screen Vision is a software tool のNerq信頼スコアは 38.9/100 (E). It is below the recommended threshold of 70. データソース: multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. 最終更新: 2026-04-03. 機械可読データ(JSON).
Screen Visionは安全ですか?
NO — USE WITH CAUTION — Screen Vision のNerq信頼スコアは 38.9/100 (E). 平均以下の信頼シグナルで、重大なギャップがあります in セキュリティ, メンテナンス, or ドキュメント. Not recommended for production use without thorough manual review and additional セキュリティ measures.
Screen Visionの信頼スコアは?
Screen VisionのNerq信頼スコアは38.9/100で、Eグレードです。このスコアはセキュリティ、メンテナンス、コミュニティ採用を含む5の独立した次元に基づいています。
Screen Visionの主なセキュリティ調査結果は?
Screen Visionの最も強いシグナルは総合信頼度で38.9/100です。 既知の脆弱性は検出されていません。 Nerq認証閾値70+にまだ達していません。
Screen Visionとは何で、誰が管理していますか?
| 作者 | https://github.com/yanyu7573-png/screen-mcp |
| カテゴリ | uncategorized |
| Source | https://github.com/yanyu7573-png/screen-mcp |
What Is Screen Vision?
Screen Vision is a software tool in the uncategorized category: Real-time screen monitoring with multiple perception modes and cross-session memory.. Nerq Trust Score: 39/100 (E).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including セキュリティ vulnerabilities, メンテナンス activity, license コンプライアンス, and コミュニティでの採用.
How Nerq Assesses Screen Vision's Safety
Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core 次元: セキュリティ (known CVEs, dependency vulnerabilities, セキュリティ policies), メンテナンス (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 管轄s), and Community (stars, forks, downloads, ecosystem integrations).
Screen Vision receives an overall Trust Score of 38.9/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=Screen Vision
Each dimension is weighted according to its importance for the tool's category. For example, セキュリティ and メンテナンス carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that Screen Vision's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five 次元, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).
Who Should Use Screen Vision?
Screen Vision is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Screen Vision. The low trust score suggests potential risks in セキュリティ, メンテナンス, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Screen Vision's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — 確認してください repository セキュリティ policy, open issues, and recent commits for signs of active メンテナンス.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Screen Vision's dependency tree. - レビュー permissions — Understand what access Screen Vision requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Screen Vision in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=Screen Vision - 確認してください license — Confirm that Screen Vision'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.
- 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 セキュリティ concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Screen Vision
When evaluating whether Screen Vision is safe, consider these category-specific risks:
Understand how Screen Vision processes, stores, and transmits your data. 確認してください tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Screen Vision's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher セキュリティ risk.
Regularly check for updates to Screen Vision. セキュリティ patches and bug fixes are only effective if you're running the latest version.
If Screen Vision 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.
Verify that Screen Vision's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Screen Vision in violation of its license can expose your organization to legal liability.
Best Practices for Using Screen Vision Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Screen Vision while minimizing risk:
Periodically review how Screen Vision is used in your workflow. Check for unexpected behavior, permissions drift, and コンプライアンス with your セキュリティ policies.
Ensure Screen Vision and all its dependencies are running the latest stable versions to benefit from セキュリティ patches.
Grant Screen Vision only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Screen Vision's セキュリティ advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Screen Vision is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Screen Vision?
Even promising tools aren't right for every situation. Consider avoiding Screen Vision in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional コンプライアンス review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Screen Visionの信頼スコア 38.9/100 meets your organization's risk tolerance. We recommend running a manual セキュリティ assessment alongside the automated Nerq score.
How Screen Vision 比較s to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Screen Vision's score of 38.9/100 is below the category average of 62/100.
This suggests that Screen Vision trails behind many comparable uncategorized tools. Organizations with strict セキュリティ 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 中程度 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 Screen Vision 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 メンテナンス patterns change, Screen Vision'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 セキュリティ and quality. Conversely, a downward trend may signal reduced メンテナンス, growing technical debt, or unresolved vulnerabilities. To track Screen Vision's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Screen Vision&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 — セキュリティ, メンテナンス, ドキュメント, コンプライアンス, and community — has evolved independently, providing granular visibility into which aspects of Screen Vision are strengthening or weakening over time.
重要なポイント
- Screen Vision の信頼スコアは 38.9/100 (E) and is not yet Nerq Verified.
- Screen Vision has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among uncategorized tools, Screen Vision scores below the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
よくある質問
Is Screen Vision 安全に使用できます?
Screen Vision's trust scoreとは?
Screen Visionのより安全な代替品は?
How often is Screen Vision's safety score updated?
Can I use Screen Vision in a regulated environment?
Disclaimer: Nerqの信頼スコアは、公開されている情報に基づく自動評価です。推奨や保証ではありません。必ずご自身でも確認してください。