Is Detect Libc Safe?
Detect Libc — Nerq Trust Score 62.8/100 (C grade). Based on analysis of 1 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-06.
Use Detect Libc with some caution. Detect Libc is a software tool with a Nerq Trust Score of 62.8/100 (C), based on 3 independent data dimensions. Below the recommended threshold of 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-06. Machine-readable data (JSON).
Is Detect Libc safe?
CAUTION — Detect Libc has a Nerq Trust Score of 62.8/100 (C). 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.
What is Detect Libc's trust score?
Detect Libc has a Nerq Trust Score of 62.8/100, earning a C grade. This score is based on 1 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Detect Libc?
Detect Libc's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Detect Libc and who maintains it?
| Author | GitHub Actions |
| Category | Uncategorized |
| Source | https://www.npmjs.com/package/detect-libc |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Detect Libc Across Platforms
Same developer/company in other registries:
What Is Detect Libc?
Detect Libc is a software tool in the uncategorized category: Node.js module to detect the C standard library (libc) implementation family and version. Nerq Trust Score: 63/100 (C).
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 Detect Libc's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Detect Libc performs in each:
- Compliance (100/100): Detect Libc is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 62.8/100 (C) 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 Detect Libc?
Detect Libc 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: Detect Libc 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 Detect Libc'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 Detect Libc's dependency tree. - Review permissions — Understand what access Detect Libc requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Detect Libc 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=detect-libc - Review the license — Confirm that Detect Libc'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 Detect Libc
When evaluating whether Detect Libc is safe, consider these category-specific risks:
Understand how Detect Libc processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Detect Libc's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Detect Libc. Security patches and bug fixes are only effective if you're running the latest version.
If Detect Libc 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 Detect Libc's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Detect Libc in violation of its license can expose your organization to legal liability.
Best Practices for Using Detect Libc Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Detect Libc while minimizing risk:
Periodically review how Detect Libc is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Detect Libc and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Detect Libc only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Detect Libc's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Detect Libc is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Detect Libc?
Even promising tools aren't right for every situation. Consider avoiding Detect Libc 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 Detect Libc's trust score of 62.8/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Detect Libc 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. Detect Libc's score of 62.8/100 is above the category average of 62/100.
This positions Detect Libc 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 Detect Libc 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, Detect Libc'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 Detect Libc's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=detect-libc&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 Detect Libc are strengthening or weakening over time.
Key Takeaways
- Detect Libc has a Trust Score of 62.8/100 (C) and is not yet Nerq Verified.
- Detect Libc shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Detect Libc 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
Is Detect Libc 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.