Is Maa Automation Assistant Safe?
Maa Automation Assistant — Nerq Trust Score 48.0/100 (D grade). Based on analysis of 3 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-27.
Exercise caution with Maa Automation Assistant. Maa Automation Assistant is a software tool with a Nerq Trust Score of 48.0/100 (D), based on 3 independent data dimensions. Below the recommended threshold of 70. Maintenance: 0/100. Popularity: 1/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-27. Machine-readable data (JSON).
Is Maa Automation Assistant safe?
NO — USE WITH CAUTION — Maa Automation Assistant has a Nerq Trust Score of 48.0/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is Maa Automation Assistant's trust score?
Maa Automation Assistant has a Nerq Trust Score of 48.0/100, earning a D grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Maa Automation Assistant?
Maa Automation Assistant's strongest signal is popularity at 1/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Maa Automation Assistant and who maintains it?
| Author | https://github.com/maa-ai/maamcp |
| Category | Devops |
| Stars | 319 |
| Source | https://github.com/maa-ai/maamcp |
Popular Alternatives in devops
What Is Maa Automation Assistant?
Maa Automation Assistant is a DevOps tool: MAA Automation Assistant bridges MaaFramework for device automation.. It has 319 GitHub stars. Nerq Trust Score: 48/100 (D).
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 Maa Automation Assistant's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Maa Automation Assistant performs in each:
- Maintenance (0/100): Maa Automation Assistant is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Community (1/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 48.0/100 (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 Maa Automation Assistant?
Maa Automation Assistant is designed for:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Maa Automation Assistant. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Maa Automation Assistant'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 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 Maa Automation Assistant's dependency tree. - Review permissions — Understand what access Maa Automation Assistant requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Maa Automation Assistant 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=MAA Automation Assistant - Review the license — Confirm that Maa Automation Assistant'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 Maa Automation Assistant
When evaluating whether Maa Automation Assistant is safe, consider these category-specific risks:
Understand how Maa Automation Assistant processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Maa Automation Assistant's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Maa Automation Assistant. Security patches and bug fixes are only effective if you're running the latest version.
If Maa Automation Assistant 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 Maa Automation Assistant's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Maa Automation Assistant in violation of its license can expose your organization to legal liability.
Best Practices for Using Maa Automation Assistant Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Maa Automation Assistant while minimizing risk:
Periodically review how Maa Automation Assistant is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Maa Automation Assistant and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Maa Automation Assistant only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Maa Automation Assistant's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Maa Automation Assistant is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Maa Automation Assistant?
Even promising tools aren't right for every situation. Consider avoiding Maa Automation Assistant 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 Maa Automation Assistant's trust score of 48.0/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Maa Automation Assistant Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Maa Automation Assistant's score of 48.0/100 is below the category average of 63/100.
This suggests that Maa Automation Assistant trails behind many comparable DevOps 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 Maa Automation Assistant 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, Maa Automation Assistant'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 Maa Automation Assistant's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=MAA Automation Assistant&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 Maa Automation Assistant are strengthening or weakening over time.
Maa Automation Assistant vs Alternatives
In the devops category, Maa Automation Assistant scores 48.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Maa Automation Assistant vs ansible — Trust Score: 76.8/100
- Maa Automation Assistant vs Flowise — Trust Score: 63.3/100
- Maa Automation Assistant vs learn-claude-code — Trust Score: 69.2/100
Key Takeaways
- Maa Automation Assistant has a Trust Score of 48.0/100 (D) and is not yet Nerq Verified.
- Maa Automation Assistant has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among DevOps tools, Maa Automation Assistant scores below the category average of 63/100, 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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Maintenance | 0/100 |
| Popularity | 1/100 |
Based on 2 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Maa Automation Assistant collect?
Privacy assessment for Maa Automation Assistant is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Maa Automation Assistant secure?
Security score: under assessment. 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: Maa Automation Assistant Security Report
How we calculated this score
Maa Automation Assistant's trust score of 48.0/100 (D) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 2 independent dimensions: maintenance (0/100), popularity (1/100). 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 May 27, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
Is Maa Automation Assistant Safe?
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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.