Smartiot Mariaは安全ですか?

Smartiot Maria — Nerq Trust Score 39.9/100 (Eグレード). スコアの基準: 5 independent trust signals.

Smartiot Maria はsoftware toolです Nerq信頼スコア39.9/100(E). データソース: パッケージレジストリ、GitHub、NVD、OSV.dev、OpenSSF Scorecardを含む複数の公開ソース. 最終更新: n/a. 機械可読データ(JSON).

Smartiot Mariaは安全ですか?

信頼スコアの内訳 — Smartiot Maria has a Nerq Trust Score of 39.9/100 (E). Measured across 1 independent trust signal.

セキュリティ分析 → プライバシーレポート →

Smartiot Mariaの信頼スコアは?

Smartiot MariaのNerq信頼スコアは39.9/100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。

総合信頼度
39.9

Smartiot Mariaの主なセキュリティ調査結果は?

Smartiot Mariaの最も強いシグナルは総合信頼度で39.9/100です。 既知の脆弱性は検出されていません。

⚠複合信頼スコア: 39.9/100 すべての利用可能なシグナルにわたる

Smartiot Mariaとは何で、誰が管理していますか?

作者f1326ad31c3b3de58af53602c2312a81c00e04b381180f76
カテゴリCommunity
Sourcehttps://agentverse.ai/agents/smartiot-maria

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What Is Smartiot Maria?

Smartiot Maria is a software tool in the community category: AI-powered IoT device control for Home Assistant using Fetch.ai, LangChain, and ASI1.. Nerq Trust Score: 40/100 (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 Smartiot Maria'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 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).

Smartiot Maria receives an overall Trust Score of 39.9/100 (E). This is a measured composite, not a suitability judgment.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=SmartIoT-maria

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 Smartiot Maria'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 Typically Evaluates Smartiot Maria?

Smartiot Maria is commonly evaluated by:

How to read the signals: Smartiot Maria's measured signals (the trust signals above) 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 Smartiot Maria's Safety Yourself

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

  1. 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.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Smartiot Maria's dependency tree.
  3. レビュー permissions — Understand what access Smartiot Maria requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Smartiot Maria 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=SmartIoT-maria
  6. 確認してください license — Confirm that Smartiot Maria'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 セキュリティ concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Smartiot Maria

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

Data handling

Understand how Smartiot Maria 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.

Dependency セキュリティ

Check Smartiot Maria's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher セキュリティ risk.

Update frequency

Regularly check for updates to Smartiot Maria. セキュリティ patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Smartiot Maria 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 コンプライアンス

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

Best Practices for Using Smartiot Maria Safely

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

Conduct regular audits

Periodically review how Smartiot Maria 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.

Keep dependencies updated

Ensure Smartiot Maria and all its dependencies are running the latest stable versions to benefit from セキュリティ patches.

Follow least privilege

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

Monitor for セキュリティ advisories

Subscribe to Smartiot Maria's セキュリティ 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 Smartiot Maria is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Smartiot Maria

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

For each situation, compare Smartiot Maria's measured trust score of 39.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Smartiot Maria is suitable for any particular use.

How Smartiot Maria Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among community tools, the average Trust Score is 62/100. Smartiot Maria's score of 39.9/100 is below the category average of 62/100.

This suggests that Smartiot Maria trails behind many comparable community 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 Smartiot Maria 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, Smartiot Maria'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 Smartiot Maria's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=SmartIoT-maria&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 Smartiot Maria are strengthening or weakening over time.

Smartiot Maria vs 代替品

In the community category, Smartiot Maria scores 39.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:

重要なポイント

よくある質問

Smartiot Mariaは安全ですか?
SmartIoT-maria Nerq信頼スコア39.9/100(E). 最も強いシグナル: 総合信頼度 (39.9/100). スコアの基準: multiple trust 次元.
Smartiot Mariaの信頼スコアは?
SmartIoT-maria: 39.9/100 (E). スコアの基準: multiple trust 次元. 新しいデータが利用可能になるとスコアが更新さ���ます. API: GET nerq.ai/v1/preflight?target=SmartIoT-maria
Smartiot Mariaのより安全な代替は何ですか?
Communityカテゴリでは、 higher-rated alternatives include Maestro (71/100), teamready-tracker (68/100), Residual Relay (68/100). SmartIoT-maria scores 39.9/100.
Smartiot Mariaの安全性スコアはどのくらいの頻度で更新されますか?
Nerq recomputes Smartiot Maria's trust score as new data becomes available. Current: 39.9/100 (E). API: GET nerq.ai/v1/preflight?target=SmartIoT-maria
規制環境でSmartiot Mariaを使用できますか?
Smartiot Maria: 39.9/100 (E). Compliance signals are shown in the breakdown above. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

関連項目

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。

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