Is Benjaminmaxwell Safe? — Trust Score: 50.6/100
According to Nerq's independent analysis of BenjaminMaxwell, this uncategorized has a trust score of 50.6 out of 100, earning a D grade. With 0 stars on huggingface_full, it is below the recommended threshold of 70. Compliance: 100/100 across 52 jurisdictions. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-18. Machine-readable data (JSON).
Is Benjaminmaxwell safe?
CAUTION — Benjaminmaxwell has a Nerq Trust Score of 50.6/100 (D). 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
Caution — BenjaminMaxwell has below-average trust signals. There may be concerns around maintenance frequency, security practices, or ecosystem adoption. Proceed with care and conduct additional due diligence.
Trust Signal Breakdown
Details
| Author | PerryMacmillan |
| Category | uncategorized |
| Stars | 0 |
| Source | https://huggingface.co/PerryMacmillan/BenjaminMaxwell |
| Protocols | huggingface_hub |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Community Reviews
No reviews yet. Be the first to review BenjaminMaxwell.
What Is Benjaminmaxwell?
Benjaminmaxwell is a AI tool in the uncategorized category. a AI tool in the uncategorized category
As of March 2026, Benjaminmaxwell is available on huggingface_full, 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 Benjaminmaxwell's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Benjaminmaxwell performs in each:
- Compliance (100/100): Benjaminmaxwell is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 50.6/100 (D) 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 Benjaminmaxwell?
Benjaminmaxwell 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: Benjaminmaxwell 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 Benjaminmaxwell'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 Benjaminmaxwell's dependency tree. - Review permissions — Understand what access Benjaminmaxwell requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Benjaminmaxwell 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=BenjaminMaxwell - Review the license — Confirm that Benjaminmaxwell'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 Benjaminmaxwell
When evaluating whether Benjaminmaxwell is safe, consider these category-specific risks:
Understand how Benjaminmaxwell processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Benjaminmaxwell's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Benjaminmaxwell. Security patches and bug fixes are only effective if you're running the latest version.
If Benjaminmaxwell 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 Benjaminmaxwell's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Benjaminmaxwell in violation of its license can expose your organization to legal liability.
Best Practices for Using Benjaminmaxwell Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Benjaminmaxwell while minimizing risk:
Periodically review how Benjaminmaxwell is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Benjaminmaxwell and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Benjaminmaxwell only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Benjaminmaxwell's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Benjaminmaxwell is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Benjaminmaxwell?
Even promising tools aren't right for every situation. Consider avoiding Benjaminmaxwell 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 Benjaminmaxwell's trust score of 50.6/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Benjaminmaxwell Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Benjaminmaxwell's score of 50.6/100 is below the category average of 62/100.
This suggests that Benjaminmaxwell trails behind many comparable uncategorized tools. Organizations with strict security 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 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 Benjaminmaxwell 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, Benjaminmaxwell'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 Benjaminmaxwell's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=BenjaminMaxwell&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 Benjaminmaxwell are strengthening or weakening over time.
Key Takeaways
- Benjaminmaxwell has a Trust Score of 50.6/100 (D) and is not yet Nerq Verified.
- Benjaminmaxwell shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Benjaminmaxwell 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.
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.