Is Csai Ai Safe?
Csai Ai — Nerq Trust Score 57.0/100 (D grade). Based on analysis of 5 trust dimensions, it is has notable safety concerns. Last updated: 2026-06-20.
Use Csai Ai with some caution. Csai Ai is a software tool with a Nerq Trust Score of 57.0/100 (D), based on 5 independent data dimensions. Below the recommended threshold of 70. Security: 0/100. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-06-20. Machine-readable data (JSON).
Is Csai Ai safe?
CAUTION — Csai Ai has a Nerq Trust Score of 57.0/100 (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.
What is Csai Ai's trust score?
Csai Ai has a Nerq Trust Score of 57.0/100, earning a D grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Csai Ai?
Csai Ai'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 Csai Ai and who maintains it?
| Author | skybluejaecho |
| Category | Ai|Automation |
| Source | https://hub.docker.com/r/skybluejaecho/csai-ai |
| Protocols | docker |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in AI|automation
What Is Csai Ai?
Csai Ai is a software tool in the AI|automation category: CSAI-AI is an autonomous AI assistant.. Nerq Trust Score: 57/100 (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 Csai Ai's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Csai Ai performs in each:
- Security (0/100): Csai Ai's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (0/100): Csai Ai 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): Csai Ai 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 57.0/100 (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 Csai Ai?
Csai Ai is designed for:
- Developers and teams working with AI|automation tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Csai Ai 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 Csai Ai'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 Csai Ai's dependency tree. - Review permissions — Understand what access Csai Ai requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Csai Ai 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=csai-ai - Review the license — Confirm that Csai Ai'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 Csai Ai
When evaluating whether Csai Ai is safe, consider these category-specific risks:
Understand how Csai Ai processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Csai Ai's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Csai Ai. Security patches and bug fixes are only effective if you're running the latest version.
If Csai Ai 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 Csai Ai's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Csai Ai in violation of its license can expose your organization to legal liability.
Best Practices for Using Csai Ai Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Csai Ai while minimizing risk:
Periodically review how Csai Ai is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Csai Ai and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Csai Ai only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Csai Ai's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Csai Ai is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Csai Ai?
Even promising tools aren't right for every situation. Consider avoiding Csai Ai 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 Csai Ai's trust score of 57.0/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Csai Ai Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among AI|automation tools, the average Trust Score is 62/100. Csai Ai's score of 57.0/100 is near the category average of 62/100.
This places Csai Ai in line with the typical AI|automation tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
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 Csai Ai 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, Csai Ai'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 Csai Ai's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=csai-ai&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 Csai Ai are strengthening or weakening over time.
Csai Ai vs Alternatives
In the AI|automation category, Csai Ai scores 57.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Csai Ai vs A-Mem — Trust Score: 44.7/100
- Csai Ai vs SuperLocalMemory — Trust Score: 44.7/100
- Csai Ai vs AinoAI_v1 — Trust Score: 52.0/100
Key Takeaways
- Csai Ai has a Trust Score of 57.0/100 (D) and is not yet Nerq Verified.
- Csai Ai shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among AI|automation tools, Csai Ai scores near the category average of 62/100, suggesting room for improvement relative to peers.
- 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.