Is Magicoder Safe?
Magicoder — 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: 2026-03-31.
Yes, Magicoder is safe to use. Magicoder is a software tool with a Nerq Trust Score of 70.2/100 (B), based on 5 independent data dimensions. It is recommended for use. Security: 0/100. Maintenance: 1/100. Popularity: 1/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Machine-readable data (JSON).
Is Magicoder safe?
YES — Magicoder 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 Magicoder's trust score?
Magicoder 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 Magicoder?
Magicoder's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Magicoder and who maintains it?
| Author | Unknown |
| Category | coding |
| Stars | 2,076 |
| Source | https://github.com/ise-uiuc/magicoder |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in coding
What Is Magicoder?
Magicoder is a software tool in the coding category: Magicoder empowers code generation with OSS-Instruct.. It has 2,076 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 Magicoder's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Magicoder performs in each:
- Security (0/100): Magicoder's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Magicoder 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.
- Compliance (100/100): Magicoder is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 70.2/100 (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 Magicoder?
Magicoder 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: Magicoder 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 Magicoder'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 Magicoder's dependency tree. - Review permissions — Understand what access Magicoder requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Magicoder 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=ise-uiuc/magicoder - Review the license — Confirm that Magicoder'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 Magicoder
When evaluating whether Magicoder is safe, consider these category-specific risks:
Understand how Magicoder processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Magicoder's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Magicoder. Security patches and bug fixes are only effective if you're running the latest version.
If Magicoder 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 Magicoder's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Magicoder in violation of its license can expose your organization to legal liability.
Magicoder and the EU AI Act
Magicoder 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 Magicoder Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Magicoder while minimizing risk:
Periodically review how Magicoder is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Magicoder and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Magicoder only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Magicoder's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Magicoder is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Magicoder?
Even well-trusted tools aren't right for every situation. Consider avoiding Magicoder in these scenarios:
- Scenarios where Magicoder'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 Magicoder'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 Magicoder 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. Magicoder's score of 70.2/100 is above the category average of 62/100.
This positions Magicoder favorably among coding 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 Magicoder 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, Magicoder'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 Magicoder's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ise-uiuc/magicoder&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 Magicoder are strengthening or weakening over time.
Magicoder vs Alternatives
In the coding category, Magicoder scores 70.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Magicoder vs AutoGPT — Trust Score: 74.7/100
- Magicoder vs ollama — Trust Score: 73.8/100
- Magicoder vs langchain — Trust Score: 86.4/100
Key Takeaways
- Magicoder has a Trust Score of 70.2/100 (B) and is Nerq Verified.
- Magicoder meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among coding tools, Magicoder 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.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.