Is Ticket Classifier Agent Safe?
Use Ticket Classifier Agent with some caution. Ticket Classifier Agent is a software tool with a Nerq Trust Score of 63.0/100 (C), based on 5 independent data dimensions. It is below the recommended threshold of 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-24. Machine-readable data (JSON).
Is Ticket Classifier Agent safe?
CAUTION — Ticket Classifier Agent has a Nerq Trust Score of 63.0/100 (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.
Trust Score Breakdown
Key Findings
Details
| Author | Ioannis-Stamatakis |
| Category | coding |
| Source | https://github.com/Ioannis-Stamatakis/ticket-classifier-agent |
| Protocols | rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in coding
What Is Ticket Classifier Agent?
Ticket Classifier Agent is a software tool in the coding category: AI-powered customer support ticket classification with CLI visualization.. 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 Ticket Classifier Agent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ticket Classifier Agent performs in each:
- Security (0/100): Ticket Classifier Agent's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Ticket Classifier Agent is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Ticket Classifier Agent 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 63.0/100 (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 Ticket Classifier Agent?
Ticket Classifier Agent 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: Ticket Classifier Agent 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 Ticket Classifier Agent'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 Ticket Classifier Agent's dependency tree. - Review permissions — Understand what access Ticket Classifier Agent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ticket Classifier Agent 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=ticket-classifier-agent - Review the license — Confirm that Ticket Classifier Agent'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 Ticket Classifier Agent
When evaluating whether Ticket Classifier Agent is safe, consider these category-specific risks:
Understand how Ticket Classifier Agent processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ticket Classifier Agent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Ticket Classifier Agent. Security patches and bug fixes are only effective if you're running the latest version.
If Ticket Classifier Agent 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 Ticket Classifier Agent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ticket Classifier Agent in violation of its license can expose your organization to legal liability.
Ticket Classifier Agent and the EU AI Act
Ticket Classifier Agent 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 Ticket Classifier Agent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ticket Classifier Agent while minimizing risk:
Periodically review how Ticket Classifier Agent is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Ticket Classifier Agent and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Ticket Classifier Agent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ticket Classifier Agent's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ticket Classifier Agent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Ticket Classifier Agent?
Even promising tools aren't right for every situation. Consider avoiding Ticket Classifier Agent 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 Ticket Classifier Agent's trust score of 63.0/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Ticket Classifier Agent 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. Ticket Classifier Agent's score of 63.0/100 is above the category average of 62/100.
This positions Ticket Classifier Agent 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 Ticket Classifier Agent 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, Ticket Classifier Agent'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 Ticket Classifier Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ticket-classifier-agent&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 Ticket Classifier Agent are strengthening or weakening over time.
Ticket Classifier Agent vs Alternatives
In the coding category, Ticket Classifier Agent scores 63.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ticket Classifier Agent vs AutoGPT — Trust Score: 74.7/100
- Ticket Classifier Agent vs ollama — Trust Score: 73.8/100
- Ticket Classifier Agent vs langchain — Trust Score: 86.4/100
Key Takeaways
- Ticket Classifier Agent has a Trust Score of 63.0/100 (C) and is not yet Nerq Verified.
- Ticket Classifier Agent shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Ticket Classifier Agent 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 Ticket Classifier Agent safe to use?
What is Ticket Classifier Agent's trust score?
What are safer alternatives to Ticket Classifier Agent?
How often is Ticket Classifier Agent's safety score updated?
Can I use Ticket Classifier Agent in a regulated environment?
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.