Is Adr Analysis Safe?
Adr Analysis — Nerq Trust Score 70.2/100 (B grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-28.
Yes, Adr Analysis is safe to use. Adr Analysis is a software tool with a Nerq Trust Score of 70.2/100 (B). Recommended for use. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-28. Machine-readable data (JSON).
Is Adr Analysis safe?
YES — Adr Analysis has a Nerq Trust Score of 70.2/100 (B). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for use — review the full report below for specific considerations.
What is Adr Analysis's trust score?
Adr Analysis has a Nerq Trust Score of 70.2/100, earning a B grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Adr Analysis?
Adr Analysis's strongest signal is overall trust at 70.2/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Adr Analysis and who maintains it?
| Author | https://github.com/tosin2013/mcp-adr-analysis-server |
| Category | Uncategorized |
| Stars | 23 |
| Source | https://github.com/tosin2013/mcp-adr-analysis-server |
What Is Adr Analysis?
Adr Analysis is a software tool in the uncategorized category: Analyzes Architecture Decision Records (ADRs) to extract decision context, validate against best practices, and identify architectural patterns for maintaining documentation quality and tracking technical debt evolution.. It has 23 GitHub stars. Nerq Trust Score: 70/100 (B).
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 Adr Analysis's Safety
Nerq evaluates every software 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).
Adr Analysis receives an overall Trust Score of 70.2/100 (B), which Nerq considers good. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.
Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=ADR Analysis
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 Adr Analysis'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 Adr Analysis?
Adr Analysis 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: Adr Analysis 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 Adr Analysis'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 Adr Analysis's dependency tree. - Review permissions — Understand what access Adr Analysis requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Adr Analysis 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=ADR Analysis - Review the license — Confirm that Adr Analysis'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 Adr Analysis
When evaluating whether Adr Analysis is safe, consider these category-specific risks:
Understand how Adr Analysis processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Adr Analysis's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Adr Analysis. Security patches and bug fixes are only effective if you're running the latest version.
If Adr Analysis 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 Adr Analysis's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Adr Analysis in violation of its license can expose your organization to legal liability.
Best Practices for Using Adr Analysis Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Adr Analysis while minimizing risk:
Periodically review how Adr Analysis is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Adr Analysis and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Adr Analysis only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Adr Analysis's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Adr Analysis is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Adr Analysis?
Even well-trusted tools aren't right for every situation. Consider avoiding Adr Analysis in these scenarios:
- Scenarios where Adr Analysis'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 Adr Analysis's trust score of 70.2/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Adr Analysis Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Adr Analysis's score of 70.2/100 is above the category average of 62/100.
This positions Adr Analysis favorably among uncategorized 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 Adr Analysis 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, Adr Analysis'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 Adr Analysis's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ADR Analysis&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 Adr Analysis are strengthening or weakening over time.
Key Takeaways
- Adr Analysis has a Trust Score of 70.2/100 (B) and is Nerq Verified.
- Adr Analysis meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among uncategorized tools, Adr Analysis 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.
What data does Adr Analysis collect?
Privacy assessment for Adr Analysis is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Adr Analysis 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: Adr Analysis Security Report
How we calculated this score
Adr Analysis's trust score of 70.2/100 (B) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 0 independent dimensions: . 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 28, 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.