Is Ai Night Shift Safe?

Ai Night Shift — Nerq Trust Score 48.5/100 (D grade). Based on analysis of 3 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-22.

Exercise caution with Ai Night Shift. Ai Night Shift is a software tool with a Nerq Trust Score of 48.5/100 (D), based on 3 independent data dimensions. Below the recommended threshold of 70. Maintenance: 0/100. Popularity: 1/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-22. Machine-readable data (JSON).

Is Ai Night Shift safe?

NO — USE WITH CAUTION — Ai Night Shift has a Nerq Trust Score of 48.5/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

Security Analysis → Ai Night Shift Privacy Report →

What is Ai Night Shift's trust score?

Ai Night Shift has a Nerq Trust Score of 48.5/100, earning a D grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.

Maintenance
0
Documentation
0
Popularity
1

What are the key security findings for Ai Night Shift?

Ai Night Shift's strongest signal is popularity at 1/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Maintenance: 0/100 — low maintenance activity
Documentation: 0/100 — limited documentation
Popularity: 1/100 — 151 stars on github

What is Ai Night Shift and who maintains it?

AuthorJudyaiLab
CategoryAgent Framework
Stars151
Sourcehttps://github.com/JudyaiLab/ai-night-shift

What Is Ai Night Shift?

Ai Night Shift is a software tool in the agent framework category: Multi-agent autonomous framework for running AI tasks asynchronously.. It has 151 GitHub stars. Nerq Trust Score: 48/100 (D).

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 Night Shift's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ai Night Shift performs in each:

The overall Trust Score of 48.5/100 (D) 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 Ai Night Shift?

Ai Night Shift is designed for:

Risk guidance: We recommend caution with Ai Night Shift. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Ai Night Shift's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software 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 Ai Night Shift's dependency tree.
  3. Review permissions — Understand what access Ai Night Shift requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Ai Night Shift 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=JudyaiLab/ai-night-shift
  6. Review the license — Confirm that Ai Night Shift'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 Ai Night Shift

When evaluating whether Ai Night Shift is safe, consider these category-specific risks:

Data handling

Understand how Ai Night Shift 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 Ai Night Shift's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

If Ai Night Shift 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 Ai Night Shift'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 Night Shift in violation of its license can expose your organization to legal liability.

Best Practices for Using Ai Night Shift Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Ai Night Shift'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 Ai Night Shift is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Ai Night Shift?

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

For each scenario, evaluate whether Ai Night Shift's trust score of 48.5/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Ai Night Shift Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among agent framework tools, the average Trust Score is 62/100. Ai Night Shift's score of 48.5/100 is below the category average of 62/100.

This suggests that Ai Night Shift trails behind many comparable agent framework 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 Ai Night Shift 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 Night Shift'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 Night Shift's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=JudyaiLab/ai-night-shift&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 Night Shift are strengthening or weakening over time.

Key Takeaways

Detailed Score Analysis

DimensionScore
Maintenance0/100
Popularity1/100

Based on 2 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.

What data does Ai Night Shift collect?

Privacy assessment for Ai Night Shift is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Is Ai Night Shift 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: Ai Night Shift Security Report

How we calculated this score

Ai Night Shift's trust score of 48.5/100 (D) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 2 independent dimensions: maintenance (0/100), popularity (1/100). 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 May 22, 2026. Data version: 1.0.

Full methodology documentation · Machine-readable data (JSON API)

Frequently Asked Questions

Is Ai Night Shift Safe?
Exercise caution. JudyaiLab/ai-night-shift with a Nerq Trust Score of 48.5/100 (D). Strongest signal: popularity (1/100). Score based on Maintenance (0/100), Popularity (1/100), Documentation (0/100).
What is Ai Night Shift's trust score?
JudyaiLab/ai-night-shift: 48.5/100 (D). Score based on Maintenance (0/100), Popularity (1/100), Documentation (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=JudyaiLab/ai-night-shift
What are safer alternatives to Ai Night Shift?
In the Agent Framework category, more software tools are being analyzed — check back soon. JudyaiLab/ai-night-shift scores 48.5/100.
How often is Ai Night Shift's safety score updated?
Nerq continuously monitors Ai Night Shift and updates its trust score as new data becomes available. Current: 48.5/100 (D), last verified 2026-05-22. API: GET nerq.ai/v1/preflight?target=JudyaiLab/ai-night-shift
Can I use Ai Night Shift in a regulated environment?
Ai Night Shift has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended.
API: /v1/preflight Trust Badge API Docs

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.

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