Is Bmad Mentor Safe? — Trust Score: 77.8/100
Why This Score
- Security score: 0/100 (weak)
- Maintenance: 1/100 — low maintenance activity
- Compliance: 80/100 — covers 41 of 52 jurisdictions
- Documentation: 1/100 — limited documentation
- Popularity: 0/100 — 0 stars on github
According to Nerq's independent analysis of bmad-mentor, this education has a trust score of 77.8 out of 100, earning a B grade. With 0 stars on github, it is recommended for production use. Security score: 0/100. Compliance: 80/100 across 52 jurisdictions. EU AI Act classification: minimal. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-19. Machine-readable data (JSON).
Is Bmad Mentor safe?
YES — Bmad Mentor has a Nerq Trust Score of 77.8/100 (B). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
Trust Assessment
Trusted — bmad-mentor demonstrates strong trust signals. It meets the threshold for Nerq Verified status, indicating solid security practices, active maintenance, and a healthy ecosystem presence.
Trust Signal Breakdown
Details
| Author | hacking-robot |
| Category | education |
| Stars | 0 |
| Source | https://github.com/hacking-robot/bmad-mentor |
| Frameworks | anthropic |
| Protocols | rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 80/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
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What Is Bmad Mentor?
Bmad Mentor is a AI tool in the education category. BMAD Mentor provides guided software development through autonomous agents like Elliot and PM.
As of March 2026, Bmad Mentor is available on github, 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 Bmad Mentor's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Bmad Mentor performs in each:
- Security (0/100): Bmad Mentor's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Bmad Mentor 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 (80/100): Bmad Mentor 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 77.8/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.
Who Should Use Bmad Mentor?
Bmad Mentor is designed for:
- Developers and teams working with education tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Bmad Mentor meets the minimum threshold for production use, but we recommend monitoring for security advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.
How to Verify Bmad Mentor'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'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 Bmad Mentor's dependency tree. - Review permissions — Understand what access Bmad Mentor requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Bmad Mentor 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=bmad-mentor - Review the license — Confirm that Bmad Mentor'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 Bmad Mentor
When evaluating whether Bmad Mentor is safe, consider these category-specific risks:
Understand how Bmad Mentor processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Bmad Mentor's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Bmad Mentor. Security patches and bug fixes are only effective if you're running the latest version.
If Bmad Mentor 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 Bmad Mentor's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Bmad Mentor in violation of its license can expose your organization to legal liability.
Bmad Mentor and the EU AI Act
Bmad Mentor 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 Bmad Mentor Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Bmad Mentor while minimizing risk:
Periodically review how Bmad Mentor is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Bmad Mentor and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Bmad Mentor only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Bmad Mentor's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Bmad Mentor is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Bmad Mentor?
Even well-trusted tools aren't right for every situation. Consider avoiding Bmad Mentor in these scenarios:
- Scenarios where Bmad Mentor's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive security updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Bmad Mentor's trust score of 77.8/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Bmad Mentor Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among education tools, the average Trust Score is 62/100. Bmad Mentor's score of 77.8/100 is significantly above the category average of 62/100.
This places Bmad Mentor in the top tier of education tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature security practices, consistent release cadence, and broad community adoption.
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 Bmad Mentor 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, Bmad Mentor'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 Bmad Mentor's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=bmad-mentor&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 Bmad Mentor are strengthening or weakening over time.
Bmad Mentor vs Alternatives
In the education category, Bmad Mentor scores 77.8/100. It ranks among the top tools in its category. For a detailed comparison, see:
- Bmad Mentor vs Mr.-Ranedeer-AI-Tutor — Trust Score: 73.8/100
- Bmad Mentor vs hello-agents — Trust Score: 79.5/100
- Bmad Mentor vs owl — Trust Score: 71.3/100
Key Takeaways
- Bmad Mentor has a Trust Score of 77.8/100 (B) and is Nerq Verified.
- Bmad Mentor meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among education tools, Bmad Mentor scores significantly 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.
Safer Alternatives
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