Is Jmix Agent Guidelines Safe?
Jmix Agent Guidelines — Nerq Trust Score 62.2/100 (C grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-23.
Use Jmix Agent Guidelines with some caution. Jmix Agent Guidelines is a software tool with a Nerq Trust Score of 62.2/100 (C), based on 5 independent data dimensions. Below the recommended threshold of 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-23. Machine-readable data (JSON).
Is Jmix Agent Guidelines safe?
CAUTION — Jmix Agent Guidelines has a Nerq Trust Score of 62.2/100 (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.
What is Jmix Agent Guidelines's trust score?
Jmix Agent Guidelines has a Nerq Trust Score of 62.2/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Jmix Agent Guidelines?
Jmix Agent Guidelines's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Jmix Agent Guidelines and who maintains it?
| Author | jmix-framework |
| Category | Coding |
| Source | https://github.com/jmix-framework/jmix-agent-guidelines |
| Frameworks | openai · anthropic · mcp |
| Protocols | mcp · rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in coding
What Is Jmix Agent Guidelines?
Jmix Agent Guidelines is a software tool in the coding category: Aims to assist AI coding agents in developing applications with Jmix framework.. Nerq Trust Score: 62/100 (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 Jmix Agent Guidelines's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Jmix Agent Guidelines performs in each:
- Security (0/100): Jmix Agent Guidelines's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Jmix Agent Guidelines is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Jmix Agent Guidelines is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 62.2/100 (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 Jmix Agent Guidelines?
Jmix Agent Guidelines is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Jmix Agent Guidelines 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 Jmix Agent Guidelines's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository's 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 Jmix Agent Guidelines's dependency tree. - Review permissions — Understand what access Jmix Agent Guidelines requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Jmix Agent Guidelines 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=jmix-agent-guidelines - Review the license — Confirm that Jmix Agent Guidelines'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 Jmix Agent Guidelines
When evaluating whether Jmix Agent Guidelines is safe, consider these category-specific risks:
Understand how Jmix Agent Guidelines processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Jmix Agent Guidelines's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Jmix Agent Guidelines. Security patches and bug fixes are only effective if you're running the latest version.
If Jmix Agent Guidelines 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 Jmix Agent Guidelines's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Jmix Agent Guidelines in violation of its license can expose your organization to legal liability.
Jmix Agent Guidelines and the EU AI Act
Jmix Agent Guidelines 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 Jmix Agent Guidelines Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Jmix Agent Guidelines while minimizing risk:
Periodically review how Jmix Agent Guidelines is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Jmix Agent Guidelines and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Jmix Agent Guidelines only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Jmix Agent Guidelines's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Jmix Agent Guidelines is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Jmix Agent Guidelines?
Even promising tools aren't right for every situation. Consider avoiding Jmix Agent Guidelines 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 Jmix Agent Guidelines's trust score of 62.2/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Jmix Agent Guidelines 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. Jmix Agent Guidelines's score of 62.2/100 is above the category average of 62/100.
This positions Jmix Agent Guidelines favorably among coding 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.
Trust Score History
Nerq continuously monitors Jmix Agent Guidelines 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, Jmix Agent Guidelines'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 Jmix Agent Guidelines's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=jmix-agent-guidelines&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 Jmix Agent Guidelines are strengthening or weakening over time.
Jmix Agent Guidelines vs Alternatives
In the coding category, Jmix Agent Guidelines scores 62.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Jmix Agent Guidelines vs AutoGPT — Trust Score: 74.7/100
- Jmix Agent Guidelines vs ollama — Trust Score: 73.8/100
- Jmix Agent Guidelines vs langchain — Trust Score: 71.3/100
Key Takeaways
- Jmix Agent Guidelines has a Trust Score of 62.2/100 (C) and is not yet Nerq Verified.
- Jmix Agent Guidelines shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Jmix Agent Guidelines scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 0/100 |
| Maintenance | 1/100 |
| Popularity | 0/100 |
Based on 3 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Jmix Agent Guidelines collect?
Privacy assessment for Jmix Agent Guidelines is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Jmix Agent Guidelines secure?
Security score: 0/100. Review security practices and consider alternatives with higher security scores for sensitive use cases.
Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.
Full analysis: Jmix Agent Guidelines Security Report
How we calculated this score
Jmix Agent Guidelines's trust score of 62.2/100 (C) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 3 independent dimensions: security (0/100), maintenance (1/100), popularity (0/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on April 23, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.