Is Ai Standards Safe?
Ai Standards — Nerq Trust Score 72.8/100 (B grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-03.
Yes, Ai Standards is safe to use. Ai Standards is a software tool with a Nerq Trust Score of 72.8/100 (B), based on 5 independent data dimensions. Recommended for use. 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: 2026-05-03. Machine-readable data (JSON).
Is Ai Standards safe?
YES — Ai Standards has a Nerq Trust Score of 72.8/100 (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 Ai Standards's trust score?
Ai Standards has a Nerq Trust Score of 72.8/100, 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 Ai Standards?
Ai Standards's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Ai Standards and who maintains it?
| Author | guillempuche |
| Category | Coding |
| Source | https://github.com/guillempuche/ai-standards |
| Frameworks | anthropic |
| Protocols | mcp · rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
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What Is Ai Standards?
Ai Standards is a software tool in the coding category: Open-source AI coding skills for various frameworks and technologies.. Nerq Trust Score: 73/100 (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 Ai Standards's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ai Standards performs in each:
- Security (0/100): Ai Standards's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Ai Standards 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): Ai Standards 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 72.8/100 (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 Ai Standards?
Ai Standards 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: Ai Standards 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 Ai Standards'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 Ai Standards's dependency tree. - Review permissions — Understand what access Ai Standards requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ai Standards 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=ai-standards - Review the license — Confirm that Ai Standards'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 Ai Standards
When evaluating whether Ai Standards is safe, consider these category-specific risks:
Understand how Ai Standards processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ai Standards's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Ai Standards. Security patches and bug fixes are only effective if you're running the latest version.
If Ai Standards 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 Ai Standards's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ai Standards in violation of its license can expose your organization to legal liability.
Ai Standards and the EU AI Act
Ai Standards 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 Ai Standards Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ai Standards while minimizing risk:
Periodically review how Ai Standards is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Ai Standards and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Ai Standards only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ai Standards's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ai Standards is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Ai Standards?
Even well-trusted tools aren't right for every situation. Consider avoiding Ai Standards in these scenarios:
- Scenarios where Ai Standards'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 Ai Standards's trust score of 72.8/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Ai Standards 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. Ai Standards's score of 72.8/100 is significantly above the category average of 62/100.
This places Ai Standards in the top tier of coding 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 Ai Standards 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, Ai Standards'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 Ai Standards's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ai-standards&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 Ai Standards are strengthening or weakening over time.
Ai Standards vs Alternatives
In the coding category, Ai Standards scores 72.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ai Standards vs AutoGPT — Trust Score: 63.2/100
- Ai Standards vs ollama — Trust Score: 58.0/100
- Ai Standards vs langchain — Trust Score: 71.3/100
Key Takeaways
- Ai Standards has a Trust Score of 72.8/100 (B) and is Nerq Verified.
- Ai Standards meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among coding tools, Ai Standards 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.
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.