Is Smartiot Maria Safe? — Trust Score: 55.2/100
According to Nerq's independent analysis of SmartIoT-maria, this community has a trust score of 55.2 out of 100, earning a C grade. With 0 stars on agentverse, it is below the recommended threshold of 70. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-18. Machine-readable data (JSON).
Is Smartiot Maria safe?
CAUTION — Smartiot Maria has a Nerq Trust Score of 55.2/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
Trust Assessment
Moderate — SmartIoT-maria shows mixed trust signals. Some areas are strong while others could be improved. We recommend reviewing the full KYA (Know Your Agent) report before integrating it into production workflows.
Trust Signal Breakdown
Details
| Author | f1326ad31c3b3de58af53602c2312a81c00e04b381180f76 |
| Category | community |
| Stars | 0 |
| Source | https://agentverse.ai/agents/smartiot-maria |
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What Is Smartiot Maria?
Smartiot Maria is a AI tool in the community category. AI-powered IoT device control for Home Assistant using Fetch.ai, LangChain, and ASI1.
As of March 2026, Smartiot Maria is available on agentverse, making it an emerging tool in the AI ecosystem. But popularity alone does not equal safety — which is why Nerq independently analyzes every tool across 13+ trust signals.
How Nerq Assesses Smartiot Maria's Safety
Nerq evaluates every AI 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 dimensions: Security (known CVEs, dependency vulnerabilities, security policies), Maintenance (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 55.2/100 (C), which Nerq considers moderate. 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=SmartIoT-maria
Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance 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 dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).
Who Should Use Smartiot Maria?
Smartiot Maria is designed for:
- Developers and teams working with community tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Smartiot Maria 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 Smartiot Maria's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI tool:
- Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Smartiot Maria's dependency tree. - Review permissions — Understand what access Smartiot Maria requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Smartiot Maria 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=SmartIoT-maria - Review the 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.
- 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 Smartiot Maria
When evaluating whether Smartiot Maria is safe, consider these category-specific risks:
Understand how Smartiot Maria processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Smartiot Maria's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Smartiot Maria. Security patches and bug fixes are only effective if you're running the latest version.
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.
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:
Periodically review how Smartiot Maria is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Smartiot Maria and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Smartiot Maria only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Smartiot Maria's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Smartiot Maria is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Smartiot Maria?
Even promising tools aren't right for every situation. Consider avoiding Smartiot Maria in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Smartiot Maria's trust score of 55.2/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Smartiot Maria Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among community tools, the average Trust Score is 62/100. Smartiot Maria's score of 55.2/100 is near the category average of 62/100.
This places Smartiot Maria in line with the typical community tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
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.
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 maintenance 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 security and quality. Conversely, a downward trend may signal reduced maintenance, 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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Smartiot Maria are strengthening or weakening over time.
Smartiot Maria vs Alternatives
In the community category, Smartiot Maria scores 55.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Smartiot Maria vs Kalshi Test — Trust Score: 67.0/100
- Smartiot Maria vs Graph Advocate — Trust Score: 67.0/100
- Smartiot Maria vs AI Resume Customizer — Trust Score: 64.0/100
Key Takeaways
- Smartiot Maria has a Trust Score of 55.2/100 (C) and is not yet Nerq Verified.
- Smartiot Maria shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among community tools, Smartiot Maria scores near 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.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.