Is Smolagents Safe? — Trust Score: 51.5/100

According to Nerq's independent analysis of huggingface/smolagents, this coding has a trust score of 51.5 out of 100, earning a D grade. With 15,000 stars on github, it is recommended for production use. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-19. Machine-readable data (JSON).

huggingface/smolagents has a Nerq Trust Score of 51.5/100 (D). Recommended — meets Nerq Verified threshold. Last verified: 2026-03-19.

Is Smolagents safe?

CAUTION — Smolagents has a Nerq Trust Score of 51.5/100 (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.

51.5
out of 100
D coding github verified

Trust Assessment

Caution — huggingface/smolagents 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

Overall Trust
51.5
Composite score across all trust dimensions.

Details

AuthorUnknown
Categorycoding
Stars15,000
Sourcehttps://github.com/huggingface/smolagents

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Deep Analysis: huggingface/smolagents

Executive Summary

huggingface/smolagents is a coding tool with a Nerq Trust Score of 51.5/100 (D). No known vulnerabilities. 15,000 GitHub stars. A smol library to build great agents.

Security

No known CVEs. huggingface/smolagents has a clean security record in the Nerq database.

Maintenance Health

  • GitHub stars: 15,000

How to Improve This Score

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Frequently Asked Questions

Is smolagents safe to use in production?

Caution advised. smolagents has a Nerq Trust Score of 51.5/100 (D). This is below the Nerq Verified threshold of 70. Consider alternatives or perform additional due diligence.

Does smolagents have any known vulnerabilities?

As of March 2026, smolagents has no known CVEs in the Nerq database.

What license does smolagents use?

License information is not yet available in the Nerq database.

How does smolagents compare to alternatives?

In the coding category, smolagents scores 51.5/100. Use the Nerq comparison API to compare directly: curl nerq.ai/v1/compare/smolagents/vs/[alternative]

How often is smolagents updated?

Check the maintenance health section above for the latest activity data. Nerq tracks commit frequency, release cadence, and issue response times.

Community Reviews

No reviews yet. Be the first to review huggingface/smolagents.

What Is Smolagents?

Smolagents is a AI tool in the coding category. A smol library to build great agents.

As of March 2026, Smolagents has 15,000 stars on github, making it one of the most popular tools in its category 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 Smolagents's Safety

Nerq evaluates every AI 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).

Smolagents receives an overall Trust Score of 51.5/100 (D), which Nerq considers moderate. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use. With 15,000 GitHub stars, Smolagents benefits from a large community that can identify and report issues quickly.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=huggingface/smolagents

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 Smolagents'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 Smolagents?

Smolagents is designed for:

Risk guidance: Smolagents 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 Smolagents's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI tool:

  1. Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Smolagents's dependency tree.
  3. Review permissions — Understand what access Smolagents requires. AI tools should follow the principle of least privilege.
  4. Test in isolation — Run Smolagents in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=huggingface/smolagents
  6. Review the license — Confirm that Smolagents'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.
  7. 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 Smolagents

When evaluating whether Smolagents is safe, consider these category-specific risks:

Data handling

Understand how Smolagents processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Smolagents's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Smolagents. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Smolagents 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.

License and IP compliance

Verify that Smolagents's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Smolagents in violation of its license can expose your organization to legal liability.

Best Practices for Using Smolagents Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Smolagents while minimizing risk:

Conduct regular audits

Periodically review how Smolagents is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Smolagents and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Smolagents only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Smolagents's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Smolagents is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Smolagents?

Even promising tools aren't right for every situation. Consider avoiding Smolagents in these scenarios:

For each scenario, evaluate whether Smolagents's trust score of 51.5/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Smolagents Compares to Industry Standards

Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among coding tools, the average Trust Score is 62/100. Smolagents's score of 51.5/100 is below the category average of 62/100.

This suggests that Smolagents trails behind many comparable coding 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 Smolagents 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, Smolagents'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 Smolagents's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=huggingface/smolagents&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 Smolagents are strengthening or weakening over time.

Smolagents vs Alternatives

In the coding category, Smolagents scores 51.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is huggingface/smolagents safe to use?
huggingface/smolagents has a Nerq Trust Score of 51.5/100, earning a D grade. Caution — huggingface/smolagents 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. Its strongest signal is overall trust (51.5/100). It is Nerq Verified, meaning it meets the 70+ trust threshold. Always review the full KYA report before using any AI agent in production.
What is huggingface/smolagents's trust score?
Nerq assigns huggingface/smolagents a trust score of 51.5 out of 100, with a grade of D. This score is computed from multiple dimensions including security, compliance, maintenance activity, documentation quality, and community adoption (15,000 stars). Scores are updated daily based on the latest publicly available signals.
Are there safer alternatives to huggingface/smolagents?
In the coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT, ollama/ollama, langchain-ai/langchain (scores: 75, 74, 88). huggingface/smolagents scores 51.5/100. When choosing between agents, consider your specific requirements for security (N/A), maintenance activity (N/A), and documentation (N/A). Use Nerq's comparison tools or the KYA endpoint for detailed side-by-side analysis.
How often is Smolagents's safety score updated?
Nerq continuously monitors Smolagents and updates its trust score as new data becomes available. The system ingests signals from 13+ independent sources including GitHub, NVD (National Vulnerability Database), OSV.dev, OpenSSF Scorecard, and major package registries (npm, PyPI). When a new CVE is disclosed, a dependency is updated, or commit activity changes, the score adjusts automatically. For the most current score, query the Nerq API: GET nerq.ai/v1/preflight?target=huggingface/smolagents. The current assessment (51.5/100, D) was last verified on 2026-03-19.
Can I use Smolagents in a regulated environment?
Yes — Smolagents meets the Nerq Verified threshold (70+), indicating it has passed automated trust checks across security, compliance, and maintenance dimensions. Nerq assesses regulatory alignment across 52 jurisdictions including the EU AI Act, GDPR, CCPA, and sector-specific frameworks. For organizations in regulated industries (healthcare, finance, government), we recommend combining the Nerq Trust Score with your internal security review process, vendor risk assessment, and legal compliance check before deployment.

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